AI in Transportation

AI in Transportation All Set to Redefine Urban Mobility

The hypotheses and developments in artificial intelligence stirred all kinds of hypes around this field of study. Research is underway for decades but it was only in the recent years that developments managed to hit consumer markets with integration in a range of products and services. AI in transportation is making a huge impact as computer vision software systems and machine learning algorithms are entirely redefining urban mobility.

Many new concepts would make to the development phase while a number of extensively tested features would be available for commercialization. This articles exclusively states the AI innovations that have the potential to revolutionize the industry in 2020.

Use of AI in Transportation for Autonomous Vehicles

Autopilot in aerial and marine vehicles is around for over a century now. Initially, the technology assisted human pilots in a very limited selection of tasks but improved over the time. We have witnessed a number of entirely autonomous aircraft models popularly known as unmanned aerial vehicle (UAV).

However, it was not until early 1990s that we started having autonomy in vehicles – that too on an intensely limited scale. Mitsubishi is arguably regarded as the first manufacturer to introduce and commercialize cruise control in vehicles. Mercedes-Benz is also one of the earliest automobile makers to invest in autonomy.

Society of Automobile Engineers (SAE) introduced a standard to classify the autonomy levels in commercial automobiles. Cruise control – the ability of a vehicle to maintain its lane and issue warning when a nearby vehicle or another object approaches dangerously near – defines the level 1 of autonomy. The standard also defines level 0 where vehicles are only capable of issuing warning and have no other control whatsoever.

The subsequent three levels further classify AI in transportation. Level 2 vehicles are capable of switching lanes and tackling nearby objects without human assistance but driver is required to keep hands on the wheel at all times. Level 3 allows hands off the vehicle but signals to intervene as needed. At level 5, a vehicle is fully autonomous eliminating human driver’s assistance.

SAE Autonomy Levels

Where does the autonomy in transportation stand today?

The challenges in autonomy are more of a regulatory framework than technical limitations. A number of manufacturers including BMW, Nissan, Tesla, Alphabet, Mercedes-Benz among others claim to have developed sufficient technology for self-driving cars. However, each of them is testing the vehicles under a wide range of circumstances. Besides, they are also ensuring to test the vehicles for a predetermined number of miles to achieve more certainty.

Waymo – a subsidiary of Google’s parent Alphabet – is offering level 4 autonomous taxi rides in Arizona. Tesla aims to introduce fully autonomous vehicles by the end of 2020 indicating a giant leap for artificial intelligence in transportation industry. Uber is testing level 3 and level 4 autonomous vehicles manufactured by Volvo. The ridesharing giant in partnership with some automobile manufacturers is aiming to introduce its flagship self-driving car in 2020.

Learn about some of the case studies at Mob Inspire

The year ahead is set to yield the outcome of the efforts building up for the past couple of decades regarding the association of AI and transportation. Although the large-scale commercialization of self-driving cars is still unlikely, yet technology would see widespread acceptance in various parts of the world.

Mobility as a Service (MaaS) to Enhance Ride-hailing Operations

Mobility as a Service

On-demand taxi service providers have redefined the ride-hailing industry by enabling passengers to instantly book a ride with only a few taps on smartphones. Although radio taxi services prior to the advent of on-demand economy were also providing instant booking over phone calls, yet the on-demand model carries its significance in that it allowed passengers and administrators to track ride in real time.

Besides, customers have the power to pay e-wallet and share feedback as soon as ride ends. Similarly, the apps on driver’s end provides them with the best route to destination. Many ride-hailing businesses allow drivers to find the nearby drivers from same service so that they may relocate to a nearby location where they have greater chances of getting a ride request.

Also read: Use Cases of IoT in Logistics

Ride-hailing is not immune of challenges though. Use of AI in transportation is on its way to address those challenges. A number of problems some of which are stated below have emerged in the decade down the road since the start of Uber era.

  1. Number of vehicles and gig workers registered with ride-hailing businesses is growing rapidly.
  2. Number of privately owned vehicles is not reducing as previously aimed.
  3. Service providers are ending up increasing fares to make their businesses sustainable.
  4. The amount of traffic congestion is increasing with dozens of ride-hailing businesses operating.
  5. Bus-pooling is an alternative but most passengers have to walk excessively to hop on a bus.
  6. Ridesharing or bus-pooling also takes more time than on-demand taxi services.
  7. There are very sharp tradeoffs when deciding between on-demand taxi and ridesharing.
How MaaS tackles the challenges of ridesharing with application of AI in transportation

MaaS also referred to as shared mobility network is a concept that has been widely regarded to define the future of AI in transportation. Instead of providing separate services for on-demand taxi and ridesharing, MaaS providers aim to combine these services so that passengers have more seamless experience.

For instance, a passenger looking to travel from point A to B would be offered the most optimized options that would include on-demand taxi, rideshare, and micromobility services. The resultant ride plan would reduce the walking time to almost minimal and may include one or more types of vehicles. A passenger may get a set of options like the one below.

MaaS AI in Transportation

It is notable that passengers would not require to book each ride separately. Instead, the artificial intelligence in transport system would enable passengers to get the entire ride plan by scheduling only once.

Also read: Technology in Logistics 2020

The transport departments in many developed countries are facilitating the efforts to phase out private vehicles, standalone services for on-demand taxi, public transit and micromobility and replace them with shared mobility. The regulatory framework for this transforming is under development stages for the past few years. It is highly likely that MaaS services would attract a large-scale adoption in 2020 in various metropolises.

Facial Recognition for Gig Driver Verification

Facial Recognition Software AI in Transportation

Uber recently faced a ban from operating in London – one of its biggest markets – on grounds of failure to prevent unregistered drivers from using accounts of other drivers. Uber, Lyft and other major ride-hailing businesses previously introduced a number of measures when the city’s transport authority warned ride-hailing giant of a potential ban in case of failure to meet the standards.

The measures include:

  1. Snap selfies at various times during the course of operations to ensure that the driver is a verified one.
  2. Panic button that allows passengers to call 911 with only a couple of clicks.
  3. Sharing ride-location in real-time with one of the contacts.
  4. Reminders to confirm number plate and driver as the one appearing in app.
  5. Automatic alert system to alarm passenger if ride goes excessively off track.
  6. Extensive background checks and driver education before registering them.

Despite all these measures, the ban of Uber indicates that transport authorities are all set to come down hard on ride-hailing service providers. Artificial intelligence solutions in transportation are enabling ride-hailing startups to overcome this challenge. All ride-hailing businesses will aim to add facial recognition feature to verify driver by at most end of the Q2 in 2020.

Mob Inspire is one of the pioneers in commercial development of facial recognition for gig drivers thereby expanding use of AI in transportation. One of our clients in Australia recently requested this feature. We developed and delivered a comprehensive system that recognizes drivers based on Computer Vision technology.

AI for Vehicle Surveillance and Traffic Forecast

Vehicle surveillance with AI in Transportation

Surveillance cameras are being used in hundreds of cities exclusively for surveillance of vehicles. The authorities retrieve the pictures from a particular time of the day to identify crime suspects.

Computer Vision technology is an impressive application of AI in transportation that identifies license plate in a picture to allow characters reading. Mob Inspire uses a combination of Computer Vision algorithms along with image processing to find a license plate in an image that may have any number of objects apart from vehicles.

Once the license plat is found, the algorithms of optical character recognition (OCR) are used to read the characters on plate. The outcome is compared with the database of vehicle registration departments to determine the origin and owner of vehicle. This way, authorities keep a track of each vehicle that passes through any junction in the city.

Artificial intelligence in transportation industry is also enabling transport departments to craft effective projections for traffic. Intelligent systems can identify growing traffic at one road and reducing at another in real-time. They use this information to attach bias in traffic signals so that each driver may get more or less equal wait time.

The use of big data with AI augments the capabilities of intelligent software systems. Traffic management units perform predictive analytics to identify the capacities of roads at usual times and during blockades. The proposed shared mobility network would also integrate passengers by sending them real-time notifications on traffic and recommendations for their route plan.

Drone delivery and AI powered network control system

Drone Delivery Network

Ground based on-demand delivery has been a huge source of relief to consumers’ lives who can deliver and receive parcels at their doorstep within an hour of placing the order. However, the excess of delivery businesses is going to make the space saturated in future. We already witness some cities reeling from traffic congestion.

Research in the past couple of decades indicates that mini drones are highly effective for delivery in urban areas due to growing congestion. Some drone delivery startups have emerged over the past few years mainly in San Francisco and Los Angeles. The operations from these businesses are so far so good.

However, there would be challenges in future as the number of drone traffic would increase. In a conventional case, the administrators will have to define speed, height and path for each drone in a spatial region.

Also read: Impact of Blockchain in Transportation

This is where Artificial intelligence solutions would be vital. Drone based delivery would serve little purpose if operators have to control each drone manually. AI enables you to make the entire delivery process automated from the time a drone is loaded with a parcel, delivered to destination, and returns. This is one of the most notable cases of future of AI in transportation.

The developers at Mob Inspire take their inspiration for drone delivery network from air traffic control systems. The difference lies in the fact that airplane pilots and UAVs set their path as per the directions from ground-based controller whereas drones in an AI network make the route plan independently unless explicitly tasked. A drone can set the height, speed and all notable parameters itself by identifying all other drones in the network.

Drones based on-demand delivery services are emerging for the past few years and 2020 would witness their expansion on a significantly large scale. The year would also possibly bring a regulatory framework for this industry.

Prepare to Live Ahead

The industries associated to transportation including logistics, delivery, ridesharing and automobile are all set to incorporate large-scale changes. Businesses are testing innovative features to enhance operations and optimize costs for years. The year 2020 will transform these industries with the innovations shared above as administrations are finalizing the corresponding regulatory framework.

It is about time you plan ahead of competitors and become of the pioneers in providing these features of AI in transportation. This investment is not only going to facilitate your customers but enable you to minimize costs and time consumption significantly.

Mob Inspire carries an experience spanning over a decade in developing intelligent systems. Our widespread clientele leads their respective industries by utilizing our transportation solutions.

What are you planning to accomplish? Do you intend to optimize your business with matchless software infrastructure or redefine business model right from scratch? Mob inspire can assist you in crafting a business model and developing a highly efficient software solution customized to your business needs. Contact us today so that our experts can take you further.

Big Data Processing

Big Data Processing – Use Cases and Methodology

The introduction of big data processing analytics proved revolutionary in a time when the quantity of data started to grow significantly. One scale to understand the rate of data growth is to determine data generated per second on average per head. While it is true that a proportion does not have access to the internet, most internet users generate more than this average. Thus, the net generation currently stands at 1.7MB per second per person.

Why Choose Big Data Analytics over Traditional Data Mining?

Traditional mining involving data warehouse (DWH) was the approach used for data analysis of all scales before the advent of big data. The introduction of frameworks, technologies, and updates in them are making big data analytics the best approach for data analysis on datasets whose size amounts to terabytes.

Data analysis time reduction

Traditional data analysis using extraction, transformation, and loading (ETL) in data warehouse (DWH) and the subsequent business intelligence take 12 to 18 months before the analysis could allow deducing conclusive outcomes. In sharp contrast, big data analytics roughly take only three months to model the same dataset. Big data also ensures excessively high efficiency which DWH fails to offer when dealing with extraordinarily large datasets.

Data analysis cost reduction

Traditional data analysis costs three times as much as big data analytics when the dataset is relatively large. Besides cost, big data also ensures significant return on investment because big data processing systems used for analytics including Hadoop and Apache Spark are proving to be highly efficient.

Notable Use Cases and Industries for Big Data Applications

Understanding loopholes in business

It is often the case with manufacturers as well as service providers that they are unable to meet targets despite having immaculate products and unparalleled efficiency. Determine why some of the areas in your business model lack expected output while others continue to generate more than anticipated.

By utilizing big data processing for large scale businesses, companies can perform quantitative as well as qualitative risk analysis with far less resources of time, money, and workforce.

Future forecast

Predict with high precision the trends of market, customers, and competitors by assessing their current behavior. It is notable that this prediction is not speculative. Rather, it is powered by real-world records. There are various channels used for data sources depending on the underlying industry. Social media is one of the top choices to evaluate markets when business model is B2C.

Strategic decision making

Crucial corporate decisions should not be based on hit-and-trial methods. Instead, you need to analyze market and streamline future goals accordingly.

Business landscape is changing rapidly in the current corporate sector owing to the growing enterprise mobility technologies and shrinking cycle of innovation. Big data processing analytics provide insightful and data-rich information which boosts decision making approaches.

Understanding customers

The amount of new and retained customers in a time period projects the potential of a business. Customers carry various motivational factors to prefer one product over another. Instead of interviewing the potential customers, analyzing their online activities is far more effective.

Thus, big data management and processing allows you to determine the path that a customer chooses to reach you – or, for that matter, to reject you.

Realigning Marketing

Before big data was a thing, the enterprises used to perform post-launch marketing. However, this strategy involves significant risks because the product or service might not be as appealing to customers as to you. The leverage of big data analytics in support of decision making process enables companies to perform marketing prior to the launch. Consequently, they can introduce need-based products and services which are highly likely to ensure achieving targeted revenues.

Sentiment Analysis

The big data does not only provide market analysis but also enables service providers to perform sentiment analysis. Using this technique, companies can identify context and tone of consumers in mass feedback.

Optical character recognition in combination with big data processing in image processing also assists in sentiment analysis. Apart from social media, the public relation sites are also sources to collect data for such analysis.

Intelligent algorithms are capable of performing this analysis by themselves – a technique usually referred to as supervised machine learning. In other words, companies no longer require multiple human resources to evaluate each feedback.

Fraud Detection

Big data enables banks, insurance companies, and financial institutions to prevent and detect frauds. The traditional methods to detect financial frauds occurring with credit cards present a dilemma here. A company can either provide unhindered and streamlined experience to its customers or it can ensure security at the cost of miserable experience.

Big data analytics allow ensuring seamless customer experience as well as security at the same time. Using big data analytics, companies have been able to markedly bring down fraudulent transactions and fake claims.

Disease Detection

It would be astonishing if you are still unaware of the revolution that big data is causing in the healthcare industry. The technology in combination with artificial intelligence is enabling researchers to introduce smart diagnostic software systems. Big data medical image processing is one of the most mentionable examples.

Besides, it also allows software to prescribe medicine by assessing patients’ history and results of relevant tests. These capabilities are significantly bringing down the cost of operations.

Mob Inspire Methodology for Big Data

Mob Inspire uses a comprehensive methodology for performing big data analytics. The experience of working with various industries enabled our experts to work on a range of tasks. The variety of tasks posed occasional challenges as well when we had to solve a problem which never occurred before.

However, the professionals did not only remain successful but developed enterprise level big data framework too. This framework allows them to revisit documented cases and find out the most appropriate solutions.

Data Extraction

Big data often requires retrieval of data from various sources. While the sources vary depending on the project, yet social media and search engine queries are the most widely used sources. Banks use transaction records for fraud detection whereas healthcare companies use data regarding patient’s medical history to train software for intelligent diagnosis and prescription.

The companies providing video on-demand (VOD) services acquire data about users’ online activity. This data enables providers to determine consumer’s choices so that they can suggest them the relevant video content. Companies utilize their own enterprise data to make strategic corporate decisions.

For instance, a construction company aiming to optimize resources would acquire data of a range construction project and process them to find out the areas where cost and time consumption can be minimized.

Thus, data extraction is the first stage in big data process flow. The retrieved data is placed in a repository technically referred to as Data Lake. It is notable here that big data analytics require unstructured data – the kind whose data does not exist in schema or tables. Instead, it is stored in flat hierarchy irrespective of data type and size.

Data Cleansing

A data lake is a container which keeps raw data. The process of data cleansing provides appropriate filters to ensure that invalid, relatively older, and unreliable data filter filters out before latter stages big data processing.

Data reliability implies the sources from which you acquire datasets. For instance, you may require electronic healthcare records (EHR) to train software for automatic prescription and diagnosis. A collection of fake EHR would spoil the training of AI resulting in exacerbating the automation process.

Data currency indicates how updated is the dataset. Data has to be current because decades-old EHR would not provide appropriate information about prevalence of a disease in a region. For instance, only 1.9% of people in the US had macular degeneration. This percentage is projected to grow beyond 5% by 2050. Using the data from 2010 to perform big data analytics in 2050 would obviously generate erroneous results.

Validity of data explains its relevance in the problem at hand. For instance, a taxi business aiming to determine consumer behavior would assess people who travel by taxi or another ride-hailing service. It would be inefficient to consider people who commute by public transport. Developing and placing validity filters are the most crucial phases at data cleansing phase. Thus, cleansing is one of the main considerations in processing big data.

Preprocessing

This phase involves structuring of data into appropriate formats and types. The data acquired and placed from various sources into Data Lake is unstructured. There is no distinction of types and sizes whatsoever. Many analysts consider data cleansing as a part of this phase. However, Mob Inspire treats data cleansing separately due to the amount of tasks involved in it.

The cleaned data is transformed with normalization and aggregation techniques. Transformation makes the data more readable for the big data mining algorithms. For instance, if the data has a broad range, it is plausible to convert the values into manageable equivalents. This transformation process is performed again once the mining is done to turn the data back into its original form.

Training with Machine Learning

This phase is not an essential one but applies to a range of cases making it significant among big data technologies and techniques. Machine learning involves training of software to detect patterns and identify objects. However, ML is must when the project involves one of these challenges. ML can be either supervised or unsupervised.

Supervised Machine Learning:

It refers to the approach where software is initially trained by human AI engineers. They ensure to place certain bounds (bias) so that the outcome does not exceed the logical range. Supervised ML is the best strategy when big data analysts intend to perform classification or regression.

Classification is the identification of objects. Software trained to perform this recognition has to decide, for instance, if an object visible in a frame is an apple or not. The system would generate a probability based on the training provided to it making it a crucial phase in big data processing pipelines.

Regression is performed when you intend to draw pattern in a dataset. For instance, determining the behavior of financial stocks by analyzing trends in the past ten years requires regression analysis.

Unsupervised Machine Learning:

Unsupervised ML implies the approach where there are no bounds and the outcome can be as unusual as it can. This ML provides more flexibility is pattern identification because it does not have limitations on the outcome. Unsupervised ML also considers extremely unusual results which are filtered in supervised ML making big data processing more flexible.

Clustering is one significant use case of unsupervised ML. The technique segments data into groups of similar instances. Thus, members of the same group are more similar to each other than those of the other groups. There are usually wide ranging variables for clustering. Association is the other instance which intends to identify relationships between large-scale databases.

Many projects require reinforcement learning which refers to the technique where a software system improves outcomes through reward-based training.

Segmentation and Visualization

The outcome of ML provides distinctive groups of data regardless of the technique you use. These groups are run through more filters, at times, if needed. The phase of segmentation nurtures data to perform predictive analysis and pattern detection. One notable example of pattern detection is identification of frauds in financial transaction.

The segmented results essentially take the form of relational databases. At this point, data scientists are able to visualize results. Datasets after big data processing can be visualized through interactive charts, graphs, and tables. The result of data visualization is published on executive information systems for leadership to make strategic corporate planning.

Tool, Technologies, and Frameworks

Mob Inspire uses a wide variety of big data processing tools for analytics. Our experts use both Hadoop and Apache Spark frameworks depending on the nature of problem at hand. They have expertise on big data programming and scripting languages including R, Python, Java, and NoSQL. Mob Inspire use SAS and Tableau for visualization.

Big data technologies

Big data analytics take your enterprise to unimaginable heights in incredibly short time – provided the analysis is correctly performed. We utilize multiple big data processing platforms depending on the nature of tasks. Contact us to share the specific business problem with our experts who can provide consulting or work on the project for you to fulfill the objectives.

Mobile app development

A Guide to Enterprise and Consumer App Development

Mobile app development industry is now well above a decade old. During this time, the industry managed to attain a number of remarkable feats which collectively lifted app development up to the contemporary level. The well-built apps are recognized by interactive theme, solid user experience, high efficiency, and strong compatibility with underlying platforms.

Over the years, a sizable number of categories have emerged with the two most generalized ones include Enterprise Apps and Consumer Apps. This article delineates the two categories including the subcategories in each before sharing Mob Inspire’s methodology toward mobile app development.

If you are already aware of your app category, jump to the methodology section.

Mobile App Categories

Mobile app categories

1. Enterprise Apps

These apps are organization-specific. In essence, they are designed to assist a company or its associates to perform official activities comfortably with optimized costs and in lesser time. These apps are usually unavailable in App Store and Google Play.

1.1 Enterprise Mobility Apps

Enterprise mobility is the practice of utilizing technology which enables employees to work remotely. Employees can access organizational data and perform a range of official activities using smartphone apps. It comprises mobile device management (MDM), Mobile Application Management (MAM), Mobile Security Management (MSM), and Mobile Content Management (MCM).

Mobility in organizations is attaining more attraction owing to the lightning fast internet speeds and sufficient security apparatus for remote working. Apart from the ability to work from anywhere, enterprise mobility apps also increases the collaboration between geographically distributed teams as well as team members working at the same workplace.

Read more: Essence and Impact of Enterprise Mobility

1.2 Information Systems

The owners and executives need to know the progress of businesses by assessing various departments and key performance indicators. Information systems provide the periodic reports enriched with graphs, charts, tables, and other dynamic data visualization techniques.

Apart from executive information system (EIS), enterprises also utilize management IS, and decision support systems (DSS). Data processing is performed at the stage of DSS whereas MIS defines the corporate strategy based on the outcomes of DSS. The IS app development for mobile enhances the productivity by manifolds.

1.3 Enterprise Resource Planning

You must be aware of ERP solutions if you are a business owner. The remarkable success of these solutions and research in it over the years pushed us four years back to introduce mobile ERP as well. Like desktop-based and web-based applications, mobile ERP also offers high visibility of core business operations. They allow efficient resource optimization and information flow between various departments of business.

Accessibility of ERP tools through smartphones and tablets provide remarkable portability. Mobile ERP ensures real-time access and lowers operational cost significantly.

Read more: AI for Business

1.4 Customer Relationship Management

Like ERP, mobile CRM was also introduced in the middle of current decade. The growth of internet traffic from smartphones and tablets increased multiple times every year. Consequently, smartphones make up the major proportion of internet traffic amounting 55%. This percentage does not include the traffic from tablets and other smart devices.

Availability of mobile CRM is not only productive for employees. It also facilitates customers to seek your services from anywhere. For instance, a customer can make a query or place an order while traveling. Either way, enterprises enhance their reputation by improving relationship with customers.

1.5 Human Resource Management

It attained incredible success as employees are able to access their monthly attendance and periodic performance audit reports on mobile phones. Mob Inspire performed HRM mobile application development with varying features for multiple clients over the years. The variation in features depends on the client’s business requirements.

For instance, one of our clients wanted to incorporate automated candidate search by matching the resumes with intended job description. Mob Inspire experts developed the solution which prevents HR managers from exploring through hundreds of resumes for a single position. It filters out the irrelevant candidates and shortlists those with suitable qualification.

1.6 Product Management Apps

The product units in warehouses and delivery vehicles undergo extensive security checks to prevent counterfeiting and fraudulent activities. Despite enormous time consumption and excessive spending of money, these checks are unable to ensure satisfactory efficiency. Nevertheless, the leverage of technologies including IoT, blockchain, and AI ensure remarkable efficiency – that too with high resource optimization.

One notable use case of IoT is the assistance in aggregate planning. Moreover, it also aids in transportation by verifying products without needing to unload them. Blockchain mobile app development makes money transaction highly transparent and secure with immutable distributed ledger technology.

1.7 Financial Management Apps

May it be invoice received at customers’ end or financial audit report at employers’ end, financial apps are vital for business processing. Although HRM and financial management applications are parts of ERP, yet Mob Inspire performs mobile phone application development for these software systems separately as well.

Financial apps provide the details of transaction and the shortcomings in the process. Fintech application development for mobile is bringing revolution to financial services and management. Most notably, Blockchain and Big Data modeling are the key innovations of the current decade and their integration within financial apps ensure substantially high efficiency in business operations.

2. Consumer Apps

Apps for consumers make up an excessively vast domain. Google Play alone has 60 categories out of which 17 are specific to various kinds of games and 9 for content particularly for families and children. Rests of the 34 app categories belong to a wide range of fields including medical, magazines, and weather among others. App Store also has 28 distinct categories.

Statista reveals that Games category makes almost a quarter of total apps available on App Store followed by business and education apps at 9.76% and 8.52%, respectively. Google Play also indicates similar results. Thus, some categories are more significant than others. Mob Inspire redefines the app categories as follows.

2.1 On-demand Apps

The on-demand mobile app development has caused more disruption in various industries than any other category. The collective valuation of companies whose business model comprises on-demand apps such as Uber is markedly higher.

2.1.1 Ride-hailing

In a span of less than 10 years, the valuation of Uber alone is worth $82 billion – as per independent reports. Scores of ride-hailing startups are emerging every year with cosmic funding. This on-demand business will continue to attract money for a couple of decades more before attaining sustainability. On-demand apps have entirely redefined taxi business by providing facilitation to customers without charging more.

2.1.2 Delivery and Logistics

The two most notable aspects of on-demand delivery services that distinguish them from traditional logistics is the last-mile and same hour delivery. The availability of apps ensures that businesses can transport perishable items as well. For instance, Grubhub, Uber Eats, and other food delivery services deliver the ordered meal in less than 30 minutes in most cases. These services are not confined to food delivery. The startups offering parcel delivery and grocery delivery like Postmates and Instacart, respectively are making substantial gains.

Also read: 8 Sustainable Business Ideas with Low Startup Cost

2.1.3 Healthcare

Arranging a doctor’s visit to patient’s home instead of the other way round makes on-demand healthcare highly attractive. Moreover, it also enables patients to seek services of physicians remotely. There are multiple kinds of businesses emerging in on-demand healthcare sector. The most notable ones include on-demand nurses, ambulance, and telemedicine. Global healthcare market is projected to reach $60 billion by 2020 with the current growth rate of 60%.

2.1.4 Home Services

Although all on-demand services are offering impressive opportunities for gig workers, yet home services are on top. The startups like Handy and TaskRabbit provide a marketplace for gig workers where consumers can seek services from most suitable workers. The success of these startups is a sufficient indicator to convince investors for investment in mobile application development for home services.

2.1.5 Laundry Services

Many service providers place on-demand laundry in home services. However, laundry services make multi-billion dollar industry alone. Thus, Mob Inspire places it into a separate subcategory of on-demand services. The success of laundry service providers like Mama Wosh indicate that on-demand industry is capable of raising millions of dollars for a startup by merely targeting the most tedious home chores.

Also read: Also read: Significance of Platform Innovation in Software Industry

2.1.6 Beauty and Wellness

The earning from provider services to consumers is not the only revenue stream for on-demand beauty apps. Such apps are heavily sponsored by local and international brands which offer cosmetics and skincare products. They use in-app advertisement as well as collaborate with service providers to increase their product sales. Thus, this advertisement enables at-home beauty service providers to significantly increase revenues.

Structure of On-demand Apps Platform

The most successful on-demand app development for mobile platforms comprises of an app each for consumer and agent as well as desktop-based dispatch and admin panels. These panels are integrated with mobile apps to ensure seamless services. Dispatch panel facilitates the connection between consumer and service agent whereas admin panel provides dashboards and real-time information to get valuable business insights.

2.2 Entertainment Apps

The second subcategory in consumer apps is entertainment. While on-demand apps make the highest combined valuation, entertainment apps attract the most number of downloads owing to the presence of Games category.

2.2.1 Games

Games does not only make up the category with most number of downloads but also comprises multi-billion dollar worth of businesses. Pokémon Go currently values at $4 billion while PUBG Mobile made $1 billion in 2018. The size of these games is multiple gigabytes reflecting the fact that they require sizable investment for their mobile phone app development. However, many lightweight apps including Candy Crush and Angry Birds managed to remain on top of the charts as well. Some ultra-lightweight apps like Flappy Bird also made significant gains.

2.2.2 Music Player

A massive number of music player apps already exist on application stores. More such apps make their ways every year. Despite this abundance, some of the apps manage to attain millions of downloads. Consumers look for apps which introduce innovative features without compromising performance. For this reason, some apps winning consumers’ attraction in the beginning fail in the long term. Thus, Music Player category is highly attractive if the app is good enough.

2.2.3 News and Magazines

Online publications are the main source of news for 44% of Americans. This percentage is above 60% in many countries. Moreover, these numbers are swiftly growing with rapid smartphone penetration and remarkable internet speeds even in the remotest regions. Apart from online magazines, blogs, and newspapers, eBooks are also making substantial gains owing to the availability of apps. With incredibly growing demand, there is a huge room for introducing more apps for news.

2.2.4 Video On-demand

The current market size of over $58 billion is projected to cross $91 billion by 2023. Although video subscription channels like YouTube and Daily Motion are the reasons behind initiation of this industry, yet Netflix and similar services are now the most crucial promoters. Mobile app development in VoD sector has the ability to earn more profits for entrepreneurs than social video sharing platforms because paid subscription generate a significant amount of money.

2.3 Education and Utility Apps

The apps providing online education and utility tools are rising in demand owing to the fact that students keep searching for ways that can optimize time. Consequently, the apps providing marketplace for tutors are also attaining consumer attraction. Utility apps are among the least costly when it comes to mobile phone application development.

2.3.1 Kindergarten

The excessive number of apps providing content specific for children and adolescents indicates their influence. Besides, the apps are also among those getting highest number of downloads. Although the presence in high numbers makes it tough to earn through paid subscription, yet advertisements work very well. These apps are now easier to locate since the introduction of Kiddle – Google’s search engine particularly for minors.

2.3.2 Health and Fitness

At-home workout training and guidance is one type of fitness apps which has already grown markedly. One of the most emerging types of health and fitness apps includes meditation for mental health. These apps are eliminating the need for keeping on-premises training centers. The business models also vary as many apps own the entire content while some of them offer marketplace for independent trainers.

2.3.3 Personal Task Management

One would barely use sticky papers when task management apps are capable of scheduling daily, weekly, and monthly plans. Mostly, these apps vary in the number of features with some app owners providing comprehensive management tools for social, academic, and professional activities. Thus, the investment does not carry any significant risk of failure even though failure probability is very low when app is built and marketed properly.

2.4 Marketplaces

Many categories discussed earlier mentioned marketplaces. These are platforms which provide a gateway for consumers and businesses to connect. For instance, two consumers can use eBay to buy and sell their belongings. However, there are some business models where marketplaces are essential.

Also read: Market Networks – Intersection of Marketplaces and Social Networks

2.4.1 Shopping

Marketplaces specific for online shopping can either sell company-owned services or it can be used by other retailers. Former is an example of B2C marketplace introduced initially by Amazon. If you are facing a financial crunch, it is wise allowing retailers to use your app to reach customers instead of spending extensively on starting your own retail store. Either way, marketplaces for shopping possess massive potential for global success.

2.4.2 Social Media

An impressive 89% of students in the US rely on social media for news (Statista, 2019). Although the concerns of fake news initially carried prospects that social media would not remain a primary source for news, yet the introduction of robust verification schemes by major networks including Twitter and Facebook are making these networks as reliable as traditional news networks. The widespread perception traditional media presents biased opinions push consumers more toward adopting social networks.

2.4.3 Real Estate

There are not only the real estate startups whose business model entirely stands on apps but traditional businesses as well. Realtor and Zillow are notable examples. Thus, the real estate professionals aiming to evolve their businesses need to invest in mobile app development for the purpose. Such apps do not only connect sellers and buyers but also provide gateway for safe, transparent, and quick transaction.

Mobile Application Development Methodology


The categories chart and its details indicate the wide variation in mobile apps. However, the app development methodology remains identical for each type of apps. The difference lies in the selection of frameworks and libraries. For instance, the apps integrating features of virtual or augmented reality require libraries of ARkit and ARCore for iOS and Android, respectively. Mob Inspire uses Agile Methodology for native app development.

Mobile app development methodology

Agile Methodology using Scrum Framework

Agile is the replacement of traditional software development methodologies. This methodology used by top mobile app development companies enables developers to carry out development and testing simultaneously so that there is least overhead of fixing bugs in the end. The traditional waterfall model is highly risky because the excessive number of errors may end the project in failure.

Agile is in practice at Mob Inspire for eight years. Our developers have made their own frameworks to cope with various situations. The 11 years long existence in mobile app development industry has allowed us to work on a wide range of projects in multiple industries.

Requirement Elicitation

The foremost stage is the understanding of objectives which you are trying to achieve. At this stage, the business managers would speak to you to seek every piece of information associated with the business idea. There is no feasibility study at this stage. Instead, the focus is to understand the goals. However, the managers duly inform you if there is anything wildly impractical in the tentative time and budget.

Scope Refinement

This stage involves development of feasibility study to ensure more clarity in the business model. The development team craft specific and distinctive use cases which can ensure achieving objectives. They define project workflow to associate responsibilities with each team member and time-scale network to estimate completion of project. Time-scale also includes the tentative deadlines to develop each module. In essence, scope refinement stage is a comprehensive blueprint of entire project.

Prototypes and Wireframes

The availability of scope enables designers to develop tentative designs of app pages. These designs called wireframes allow you to approve the appearance of pages including color scheme and theme. Wireframe development saves you a considerable cost and time which is consumed in making frequent changes to design. However, wireframes are only static images which are unable to demonstrate behavior of buttons and links. Prototypes enable you to evaluate behavior as well.

Development and Testing

Once you approve prototype, the stage of development kicks off. Under Agile Methodology, Mob Inspire experts perform development tasks in sprints. The total number of sprints depends on the scale of project. The experts aim to develop a predetermined number of modules in each sprint. One notable and highly effective strategy of Agile is the parallel testing. The testers and quality assurance team members work in collaboration with developers to perform testing side-by-side with development.

Launch and Maintenance

The deployment and launch of app must ensure that it integrates well with the existing business architecture. If there is an existing database, the datasets should be efficiently transformed to be accessible from app. Mob Inspire experts do not only ensure smooth launch but also provide limitless maintenance of app. Moreover, you can also assist you in scaling up the app with more features as required in future.

App Marketing

The years of experience in various industries enabled us to understand dynamics of a range of industries. Our marketing strategies ensure that you reach maximum audience from the relevant niches. Mob Inspire marketers help you in defining user persona and run the most effective business oriented marketing campaigns.

Native App Development

Although developing cross-platform apps is easier and less costly, yet Mob Inspire stopped offering such apps few years back. Platform independent apps have significantly less efficiency. The competition in market and the benchmark set by top apps indicate that efficiency in terms of speed and size is the top factor in success of apps. Thus, development of separate apps for Android and iOS platforms – usually referred to as native app development – is the suitable approach.

Kotlin for Android App Development

The developers at Mob Inspire use Kotlin language for Android app development. Google also recommends Kotlin as this language is highly compatible with Android Operating System. One of the most attractive features while using Kotlin is the ability to use Java libraries without wrappers and adapters. Thus, developers attain the simplicity of Kotlin and the power of Java. Moreover, Kotlin allows development with both object-oriented and functional approach.

The comprehensive app development approach of Mob Inspire enables it to consistently feature in rankings for app developers issued by credible firms.

Swift for iOS App Development

Swift is completely replacing Objective-C as the de facto language for iOS app development since its launch in 2014. Its widespread acceptance by global iOS community enabled it to make into the list of top 10 most sought-after software development skills as rated by TIOBE. Consequently, the number of apps annually developed using swift would bypass those by Objective-C in less than two years. The upcoming Swift 5 is about to release as iOS developers at Mob Inspire look forward to it.

The businesses from a wide range of industries are in collaboration with Mob Inspire to fulfill their software development needs. We would love to become your partner too. Contact us so that our professional mobile app development teams can assist you in aligning your business to the path of success.

Big Data in Media

Why is Big Data Incredibly Effective in Media Industry?

There are obvious reasons that explain the ambition of 83% of the companies to invest in big data in 2019. Research at McKinsey reveals that around 50% of enterprises confirmed that utilizing big data revolutionized their business operations – particularly marketing and sales. Consequently, the global revenue is projected to cross $103 billion in 2027 from current $43 billion. One of the most notable instances which are assisting in achieving this feat is big data in media.

Psychographic Segmentation with Big Data Solutions

Customers are only going to subscribe for a video on-demand service if the provider is able to convince them. The latter needs to find out what drives customers to download the app and which type of content do they want. The answers to these questions vary depending on age groups, socioeconomic situations, trending programs, and user interests.

It is practically inefficient to determine these factors at the level of individual subscribers. Using big data, you can identify the viewers with similar interests and demographics before grouping them together. This grouping, technically referred to as psychographic segmentation, provides the outcome which can then be used to offer video content relevant to each subscriber’s interest.

Apart from consumer analysis and determining consumer trends, big data analytics in media also enables VoD service providers to sketch consumer journey map. The compilation of this map allows companies to find the path followed by consumers before becoming subscriber. Similarly, it also allows determining the causes of drop in subscription percentage.

In all, psychographic segmentation and consumer journey ensure effective market research in VoD industry.

Smart Filters for Big Data in Media and Entertainment

The websites and apps for social media, public relations, and discussion forums often feature instances of hate speeches, abuse, and graphic violence. Facebook alone has 2.38 billion active users as per Statista figures from March 2019. With billions of users participating in online social activities and discussions, the amount of inappropriate content is also growing.

It is impossible to filter each comment, post, picture, and video manually. All notable social networks are and discussion forums have placed multiple checks so that inappropriate content can be removed as soon as possible. The pace of tech development is too fast for legislators to develop corresponding laws in time. Thus, the governments are trying to regulate such platforms with filters using big data without compromising free speech.

Spam and Intrusion Detection for Enhanced Data Security

Cybersecurity challenges are posing more threat than ever as data security is becoming one of the top concerns for service providers, regulators, and consumers alike. IBM research reveals that cost of breach involving over a million records is $42 million. Every breached record costs $148. Since most of the consumers of VoD and social media are non-technical users, they are prone to falling for spam emails and other intrusion scheme.

Big data in combination with machine learning and deep learning algorithms including Naive Bayes and Multilayer Perceptron (MLP), respectively can aid in developing filters which detect spams and issue an alert. Top media outlets have placed comprehensive intrusion detection and prevention algorithms to ensure excessive data security.

Data Science in Media Industry for Predictive Analytics

It is crucial for a service provider in any industry to have knowledge about changing trends. Big data allows companies to make strategic decision making and corporate planning by forecasting future. This big data forecast in media industry depends on relevant data acquired from credible sources.

The predictive analytics based on future projections enable service providers to outperform their competitors by working on content which is projected to be in high demand. It is notable big data in media and entertainment requires authentic data because acquisition of data which is inconsistent, irrelevant, or unreliable results in worsening of analysis. Such erroneous analysis would generate incorrect predictions, and hence result in inefficient corporate planning.

Intelligent Self-trained Virtual Assistant

It would be unwise to keep human assistant who listens and notes down queries and complaints of subscribers. This age of AI provides highly efficient virtual assistants that are more far productive than human for the same job. Using virtual assistants does not only reduce cost but also enable you to offer seamless services.

The most attractive feature of modern virtual assistant is its ability to train itself. In essence, such a software system uses past interactions and improves itself using reinforcement learning technique. You do not need to wait for the system to get matured before using it for interactions with consumers. Instead, Mob Inspire provides such systems which are already trained over variety of datasets.

Virtual assistant is one of the most widely used big data applications. Even the companies with absence of large-scale data are also utilizing robotic assistants. They can provide round the clock access to remote assistance. These systems are not only capable of responding the issue but solving it as well.

Redefining Marketing Strategy

Crafting consumer journey is one of the marketing phases that target customers. However, there are other metrics as well which are essential to determine for marketing. Every significant marketing campaign requires extensive analysis on financial situation. Big data in media industry allows predicting the projected growth volumes in response to various campaigns so that campaigns can be prioritized.

For these reasons, the top providers of video on-demand services are emphasizing on marketing, particularly instant gratification. They are able to assess what consumers would like to watch and present the most relevant results. The remarkable return reflects in 26% growth rate of Netflix as indicated by financial report of Q2 2019.

Mob Inspire is performing research and development in big data for a data now. In this period, we have assisted dozens of clients to refine or redevelop their architecture by using big data solutions. We look forward to developing new partnerships in the industry. Contact us today so that our experts can help you in the most appropriate way.

best mobile app development services

Mob Inspire: Top Technology Solutions Provider

Clutch recognizes Mob Inspire as one of the most emerging technology leaders.

PALO ALTO, CAClutch lists ratings, research output, and reviews of IT and B2B tech solutions providers is renowned for its research intensive approach toward listing the top tech enterprises, leaders, and startups. The reputable firm issues ranking in a wide range of services and solutions including mobile app development, AR and VR, IoT, Blockchain development, Robotic Process automation, and among other advanced technology solutions.

Mob Inspire is the leading technology solutions provider for Startups, entrepreneurs, and consumers employing the latest technologies.

We are playing a significant role in the IT market since 2009 by establishing a strong reputation as a technology solution providers that provide cutting edge solutions. We helped hundreds of enterprises in enhancing their business architecture with efficient software systems. Besides, our platform innovation services enabled over 20 startups to attain sustainability.

Technology experts and niche-specific skilled engineers manage complex and challenging tasks to transform businesses with digital solutions. As part of the leading service providers in the US, Clutch identified Mob Inspire as one of the top emerging IT experts in California. Today, Mob Inspire’ mission is to help businesses in the adoption of new technologies.

About Mob Inspire

Mob Inspire is an innovation platform and an enterprise development company based in Palo Alto, California. We are developing, testing, deploying, and maintaining industry leading software and mobile application products for over a decade. Our core services include enterprise mobility management, Cloud and mBaaS, big data analytics, IoT integration, extended reality development, and blockchain development.

Learn more: Mob Inspire

Phone : +1 (650) 800-3640

Email : [email protected]

Web Development Services

Choosing an Appropriate Agency for Web Development Services

Digital presence for enterprises is not an option anymore; instead, it is a necessity. Social media is only a small source for making an online presence. The true representative of your company is the website or a web app. If you do not have the resources to build the website in-house, acquiring web development services is inevitable.

Careful! You may push a lot of cash and time allowing the developer to work freely, but end-up wasting some heavy bucks. Fortunately, there are ways to distinguish an effective development agency from a poor one.

Prerequisites to Acquiring Company for Web Application Development Services

If you reach the developers without any prior blueprint, the developer gets the chance to trick you into spending unnecessarily. Besides, the end product may also be a terrible one which does not fulfill your organizational needs. Thus, you need to complete your homework first before searching for the most suitable development agency.

Following are some recommendations to follow before outsourcing the task.

What are you trying to achieve with this website?

Do you want a website that represents your enterprise? It may also be a site that is dedicated to the promotion of one of your products or services?

You also need to be sure about the scope of this site. One can keep on adding the pages, features, and categories but do you really want all of these pages? For instance, the developers often push the clients to add the number of features to increase the development budget.

The number of pages and design features directly affect the storage space of website on servers. Thus, a company providing web design services for small business should ensure that the site stays within the storage limits.

It is also notable that you should be clear about your targeted niche for effective user modeling.

Identify the On-site Resources useful for web design and development services

If you are an established company, you might have some of the resources already at your disposal. Following are the primary expertise required to build and promote a successful web app.

Graphic Design

The design of app and graphics inscribed in it give the first impression of your business. The job of graphic designer becomes more complicated one if you intend to have custom web development services.

Designer is responsible for creating the pictures and logos for the app. Later, frontend developer uses these designs in various sections of the site.

Frontend Development

Frontend developer is responsible to place designed graphics in the most appropriate sections of the site. A very basic design may turn the visitor away. Your website design should ensure that the visitor stays on the site for some time and explores various pages. There are techniques prompting the visitors to open different sections of the site.

Moreover, excessive use of graphics often backfires in a couple of ways. Firstly, the performance of the site may slow down. Research indicates that users wait for 7 seconds on average for a page to load after which they backtrack.

Secondly, overly filled pages decrease the readability, leaving readers more confused instead of assisting them.

Backend Development

A car may have an attractive appearance for its shape but it still remains useless if the engine is not an efficient one. Now, replace shape and engine with web design and backend connectivity.

A potential customer visits your site and finds it attractive. Hence, one may decide to contact you. However, the contact form embedded on the site is an erroneous one. The user will end up disappointed and eventually leaving the site with a dreadful impression. This is one of the most basic examples. Rarely would a developer leave a bug in the contact form.

There are dozens of other areas where your site may have performance setbacks. Thus, the backend developer should be a professional one like designer and frontend resource.

SEO and Marketing

This part is not an essential one but carries paramount significance. Everything regarding the design and development of site is carefully put in place. However, the site lacks the ability to be searchable by potential customers. In such circumstances, you would still not be able to get the desired results.

SEO and web development services go hand-in-hand. There are frequently occurring cases where the lack of appropriate SEO fails the website. The owners take the marketing aspects lightly and end up missing targets.

Put an Estimate around your Budget

Obviously, you are unsure about varying development costs. Thus, determining a precise budget range is unreasonable. Nevertheless, you may come up with a vague estimate so that the company providing web design and development services would keep your budget range in sight.

Choosing the Developer

Once you fulfill the prerequisite, it is time to find the most appropriate developer as per your needs. Following aspects are helpful in selection of web developer.

Case Studies for Developing Enterprise Web Services

Any experienced developer must have case studies of previous work. These cases indicate the quality of work as well as the diversity of agency to work on various problems.

It is advisable to acquire a developer with experience on wide variety of projects including enterprise, product-based, and service-based websites.

Explore the website of the enterprise offering web development services. Get to know more about how the company was able to address various challenges while building websites for clients. The number of projects says little about the efficiency a developer. What really informs you is the variety in the work.

Explore Previous Clients and Get Feedback

Many companies use deceptive practices by adding fake case studies. The companies whose cases are used either do not exist or did not use this developer for their website. Moreover, such developers also conceal the failed projects and present them as successful ones.

The most appropriate workaround is to get feedback from the client itself. Ask representatives of the company whose case studies are used about the experience they had with the developer under watch. This approach will provide you a fair amount of knowledge about the services and reputation of agencies.

The Efficiency Reflects in Our Work

Mob Inspire is one of the top web development companies with a broad client base. A wide range of projects enables us to carry loads of experience. We earned the privilege of assisting a number of startups and established struggling businesses.

We would like to become your technology partner. Contact us today to let us get you ahead from there.

App development outsourcing

Recommendations for Successful App Development Outsourcing

The past two decades have seen remarkable technological developments. These progressions are enabling businesses around the world to make worldwide collaborations instead of confining to a certain region. As smartphone apps for startups and established businesses are becoming essential, these collaborations are yielding amazing results in the form of app development outsourcing.

The practice of outsourcing app development results in undeniable benefits for businesses. Meanwhile, there are some challenges as well. Fortunately, you can overcome the challenges by taking measures as mentioned later in the text.

Benefits of Outsourcing Mobile App Development

  1. You can get the most relevant skills for app development without permanently hiring an individual. It is impractical to permanently hire individuals from various fields with top skills without an increase in costs.
  2. You can ensure a significant reduction in costs of operations and recruitment. Hiring any individual as a full-time employee requires provision of benefits. The monthly wages and cost of benefits in the US are more than the sum of average hourly costs.
  3. The in-house teams can focus on existing tasks instead of opening another front. Working on way too many tasks increases the probability of errors. Besides, this ability also saves the time of teams.
  4. In-house app development puts the entire failure risk on your company. Although the odds of failure are minimal with a skillful team, yet one cannot rule out the possibility. Outsourced companies are liable to failures. They have to pay reparations in case their teams fail to deliver.

Also read: Guide to enterprise and consumer app development

Challenges Involved in App Development Outsourcing

Challenging tasks often yield fruitful results if one is able to take on them effectively. Following are some of the challenges arising in outsourcing.

  1. Finding the appropriate developer for outsourcing is a tough task considering the sea of profiles overflowing the internet.
  2. Some outsourced developers delegate your assigned task to another developer. You may have found and outsourced the task to a suitable agency, but this action does not guarantee success. Thus, you need to ensure that the developer works.
  3. Some newly established outsourcing companies are highly volatile. They are in search of many projects so that they can populate their profile with case studies. Most of the companies fail to sustain beyond this phase. If your company is one of the clients, you will not be able to claim compensation once your outsourcing agent is broke.
  4. App development outsourcing may trigger serious troubles if the culture and language of an agency vary significantly from that of yours. This challenge may cause management problems resulting in persistent delays and undesired behavior of apps.

Get Started: Dedicated development team for app development

How much does it cost to outsource app development?

Cost of outsourcing varies depending on the scope of the project. As the number of features and details involved in feature increases, the cost varies directly.

Mob Inspire has a wide range of experience working on different apps. Each of our clients had unique features. Thus, the cost also changed correspondingly.

Recommendations for Successful Outsourcing

Explicit Use Cases

Before hiring a company for app development, it is advisable to be sure about what you are trying to achieve. Many business owners present a vague business model to developers who end up developing unintended software.

Note that you do not need to know the technical details of app. The decision to use the kind of coding languages, frameworks, and approaches rests on the development agency. All you need to share is the behavior that you want the app to reflect.

An inexperienced developer can still understand your desired app features despite unclear use cases. Such a developer will most likely develop a decent app. However, one may exploit the ambiguities in use cases to mint more money.

Choosing the Developer

Selecting the developer is crucial for app development outsourcing because this is the single most significant task defining the success probability of your business.

Scores of independent analysts reiterate that outsourcing the development task to an experienced agency is advisable than to a freelancer. Any company with multiple years of experience of building a wide range of apps knows the specifics of various kinds of apps. In contrast, a freelancer lacks the appropriate resources which could aid in different phases of development.

Nevertheless, the selection is not challenging if you follow a couple of rules.

1. Interview a company’s representative. This should be an employee, particularly a business development manager with technical knowledge. Such an individual can bridge the gap between you and the development team.

2. Ensure minimal communication and cultural buffer. Your developer will not be able to understand your intended app model if one has problems in understanding your language. Besides, cultural differences also affect the app. Apart from other reasons, geographical region also influences app design and its content development.

Also Read 11 Best freelance iOS Developers to hire in Feb 2020

Negotiating and Documenting the Bid

Absence of documentation often results in disputes. You need to ensure that the contract has clearly defined clauses. Every primary stakeholder should have knowledge of costs.

Moreover, the contract should also feature the conditions cost hike and reparations in case of failure. You should make sure that the company does not delegate the task to another developer. Otherwise, the app may not face any performance glitches, but it would still be unable to cater to your business needs.

Tackling the After-launch Glitches

Errors and bugs in software emerge regardless of the skill or experience offered by the developer. Nevertheless, the distinguished companies take on such after-launch challenges and satisfy their clients.

One of the reasons for preferring agency over a freelancer for app development outsourcing is the volatility of individuals. An experienced company is very less likely to face closure. Contrarily, a freelancer may not be available to eliminate errors and perform future maintenance.

Security Risk Management

Beware! You are not only sharing your business model and the intended use cases. Most of the times, you will also have to share personal and business data whether to outsource iOS app development or an android one. Data security concerns are rising owing to the increase in the annual number of breaches.

Therefore, the developer needs to ensure the highest level of security of data confidentiality. One should also know the consequence of leaking any confidential information.

Mob Inspire carries the privilege of building unparalleled apps for dozens of companies. Contact us today to become one of our valued clients.

Top app development companies

Top App Development Companies – Comprehensive Selection Criteria

What makes the selection of an app developer far more challenging than choosing a fast food brand? Unlike food outlet, you have thousands of options for mobile app development. Internet is swarming with the companies advertising to build an app for you. To make an appropriate choice, you need to make a list of top app development companies.

The criteria for evaluation widely vary depending on the parameters. However, some of the criterion points measure the efficacy of a company more precisely than others.

How to determine top mobile app development companies?

None of these criterion elements alone are sufficient to decide the best app developers. However, they make a truly comprehensive evaluation criterion collectively.

Noteworthy Case Studies

There is no evaluation criteria as good as working case studies. The more the number of successful cases, the higher is the probability for the company to be good enough.

Nevertheless, one cannot rule out exceptional cases. Many nascent companies do have a decent workforce which enables them to flourish in the long run. However, you will have to be trustful to the utmost extent to put your time and money on stake for an inexperienced company.

Case studies are the shortest ways to distinguish top app development companies from ordinary ones.

Beware! The listed case studies do not necessarily suggest that the company successfully built those apps. Following are the tricks to grab your attention unlawfully.

  • The app was never built. Only a logo of fake app appears on the site. This trick works because most visitors barely go into details of each case.
  • The app is a huge failure. However, the developer presents it as a comprehensive success.
  • Most enterprise apps are unavailable on app stores because these apps have only specified users. Thus, the developer may justify the absence of case study with unavailability of the app.

Also read: User experience design process

Feedback from Previous Clients

Fake reviews account for the primary reason which holds the investors from trusting independent feedbacks. Multiple PR sites allow the users to give feedback without whittling down the criterion for evaluators. This factor enables company owners disguised as clients to place fake feedback.

Getting the take straight from the horse’s mouth may serve as the evidence of the claim. This approach presents workaround when you suspect the developer be playing one of the last two tricks listed earlier.

However, the challenges may trickle down but are not over yet. The feedback sharing body may just be another partner of the developer. Thus, you may require further research to find the underlying truth.

Mob Inspire takes pride in establishing the businesses of aspiring entrepreneurs. Each of the projects we worked on speaks the volume of our expertise. We consistently feature among the list of best app development companies by credible ranking sites including Clutch and GoodFirms

Apart from startups, we have also worked with numerous established clients. Most of our clients are well-known companies in their respective regions. This factor of wide recognition eliminates the possibility of influencing the feedback.

Culture of Research & Development

There is no single tool, framework, and coding language fitting for every kind of app development. The requirements of app vary at times. Thus, the app development companies require extensive research into the selection of appropriate apparatus.

The selection of apparatus affects the business of developer as well as yours. Developers intend to keep the cost as low as possible to enhance their profit margins. In doing so, they often compromise quality.

In sharp contrast, your primary objective is to ensure that the app remains a success. Cost of development also concerns entrepreneurs, but it has to be second to performance.

Apart from business need, your app also needs to target the correct market. Almost every app requires research to determine the targeted audience. Therefore, the developers need to collaborate with the marketing individuals to ensure that the app reaches and attracts intended market.

Market research also involves the investigation into competitors’ approaches to attract the audience. Knowing your competitor is as significant as customers.

There are two most effective ways to find out if an app would make a decent show in among consumers or not. Although surveys are also useful, yet behavioral analysis is more effective in case of mobile apps.

Therefore, the top app development companies ensure to create a culture of research and development in their enterprise architecture.

Signature Products and Services

The experience of working with a range of clients enables top developers to incorporate in-house developed products. They also use some of these products as subscription-based services.

The development of these products enables the developers to cut down the development costs substantially. Conversely, if a company does not have in-house products, they end up charging clients highly to cover the excessive costs.

One major challenge for companies working with in-house products is the apprehension of developers’ unavailability. For instance, a developer working on a product for years resigns. Consequently, the company would lose not only an employee but also an experienced user of company’s product.

Nevertheless, the top companies minimize the impact of losing an experienced developer by extensive documentation of their products. While interviewing various prospective developers, you may ask them about the in-house products and services.

Therefore, working with these products over the years eliminates the need to build apps from scratch. Besides, such developers also understand the factors affecting performance and hence make sure to prevent them.

The choice is yours!

Now that you have the weapons to find the top app development companies, we recommend conducting independent research. Meanwhile, our app development team equipped with the most fitting tools and skills prepare to get you on board. We are certain that you will reach us back after research because Mob Inspire meets each of the above criterion points.

Mob Inspire believes in the show don’t tell approach. You may take a look at the case studies of some of the happiest app development clients in the world.

Contact us today to fulfill the utmost realization of your mobile app development idea.

Entertainment app development

Entertainment app Genres and their development

Smartphone apps are gaining an incredible reception as the number of users of smart devices is increasing significantly. Meanwhile, the app owners are also capitalizing on this growth by providing addictive apps to users. The interest in entertainment app development is growing by leaps and bounds because these kinds of apps tend to generate far more revenues than others.

Entertainment is a vast app genre. It is unwise – at least currently – to offer an app with all types of entertainment features.

Entrepreneurs should consider following kinds of entertainment apps.

Music Player

Despite the availability of thousands of music player apps at app stores, there is always a room for newer ones. The reason is the fact that there is no shortage of ideas. Entrepreneurs, music lovers, and App developers keep on devising and implementing innovative features.

The existing apps are still unable to cope with the massive demand. To expand their profits, the owners of top apps place subscription costs. These costs increase with time.

A new music app can make gains in an incredibly short time by offering free download and subscription. Although the profit margin is small for the initial months, yet the app will return significantly in the long run.

Spotify and SoundCloud are undeniably two of the best music apps. Spotify allows users to maintain playlists while SoundCloud provides the opportunity to listen to songs online.

One of the innovative features not successfully implemented is the real-time shared music platform. This feature would provide the ability to two or more app users to listen the same song simultaneously. The users need not be present at the same geographical location.

Downloading mp3 songs is often a tiresome task because most of the existing apps are overly complicated. Inefficient use of ads annoys the users and eventually pushes them to delete the app. Thus, you may help users eliminate these issues.

Video Subscription On-demand (VSoD)

Unlike music apps which are around before existence of smartphones, VSoD is relatively newer concept. The users subscribe to the genre or publishers so that they can instantly watch the videos of their choice.

Moreover, the users can choose from a range of packages depending on the services from provider. Top subscription apps allow pausing, rewinding, and many other features. Users can access live streaming of events, drama series, and movies apart from other options.

The arrival of VSoD has almost disrupted the traditional DVD and Blu-ray industry. Following graph shows this decline and the corresponding rise of VSoD. Note that this chart depicts the results between 2008 and 2015. The subsequent years demonstrate a further rise in VSoD adoption.

Hulu and Amazon are two of the top video subscription providers. Statista reports that the number of global users will increase by 45% to reach 411 million in 2022.

Since smartphones provide the utmost portability, most of these users will be using mobiles for the purpose.

AR and VR Games

Augmented and virtual reality apps are making impressive penetration in every kind of apps. However, the gaming industry appears to be the primary stakeholder.

Currently, the AR and VR gaming industry is growing at an enormous CAGR of over 152%. Reuters report from 2017 projects that the AR gaming market will reach over $284 billion by 2023. This explains the intention of every other mobile app development company to hire the experts of AR.

The arrival of ARCore and ARKit has remarkably catalyzed the development of gaming. Unlike V, the users no longer require expensive headsets for AR apps. They can experience AR in smartphones without a headset. Nevertheless, headsets enhance the experience.

The game development engines including Unity and Unreal Engine 4 are capacitating the developers with unbelievable features. Pokémon GO is one example powered by the Unity engine. This game from Niantic alone earned over $2.3 billion after releasing less than three years back.

Moreover, games are not the only use cases for AR to provide entertainment. You can also provide, for instance, an app which shares the names of stars and planets when smartphone camera points toward the sky.

Conventional Small-Sized Games

The complicated and often large space consuming games are not the only ones that attract massive number of users. Since the advent of smartphone, the probability of small-sized games to get more downloads is higher than otherwise.

Flappy Bird provides one of the most remarkable cases. The app released in 2013 consumes less than 1MB of disk space. However, it achieved millions of downloads at both Android and iOS platforms since its introduction.

Dr. Driving presents another case. With only 9.9MB, the app managed to attain over 100 million distinct users.

Usually, an entertainment app development company provides the services of building lighter apps. The development of these small-sized gaming apps carries only a little risk in case of failure. The app owner will not lose significant amount of money because they would not have invested much.

The fact that users expect freemium model is the reason for success of light-weight gaming apps. Most of the smartphone users belong to middle socioeconomic classes and tend not to pay for apps. Thus, less complicated game can be a blessing rather than bane for your business.

Social Media

Social media apps are coming out in numbers every day. The developers know that these kinds of entertainment apps penetrate quickly among smartphone users.

However, only a small fraction of these apps manage to reach at least ten thousand downloads. Most of them cannot even hit a thousand downloads mark.

Some of the top reasons for failure include ineffective marketing, inefficiency of app performance, and lack of innovation. Fortunately, many ideas still await an appropriate implementation. Selection of a company with productive mobile app development services prevents the former two causes of failure.

Contact us today to share your unique app development idea and leave the rest on us to realize it. Moreover, you can also share your ordinary ideas because our experts know how to turn average business models into incredible ones.

software development trends 2019

5 Emerging Trends For Software Developers In A Digitally Driven World

Every year introduces innovative software development trends. Similarly, 2020 will be an expansion of existing technological solutions. Let’s take a look at the emerging trends for software developers in a digitally driven world.

The software development market is continuously growing because of advancements in technology. Several changes have witnessed in 2018, which are continuing in 2019, ranging from cryptocurrency, augmented virtual and mixed reality, mobile computing, artificial intelligence, and blockchain.

In the future, different mindsets and skills will be required for people to navigate their careers. Software development enthusiasts are assuming 2020 will be an exciting year for innovative advancements in software application development and software developers will play a significant role in every domain.

1. More Generalists Than Professional Experts:

In the data-driven world where innovative features add value to the customers, it is essential than ever to have more people who are not afraid of unfamiliar technology and have a passion for employing the latest technology in software development to accomplish things. It does not mean that there will be no longer the need for specialists.

The need for specialists will always be there. However, there will be a greater need for generalists in the software development industry. People have started seeing this change already with the rise in demand of developers for innovative technology.

2. Significance Of Collaboration/Cooperation Over Qualification:

In the future, collaboration skill will be required more than it is currently required. There is more demand for collaboration than qualification. It is important to have collaborative people who are team players than those who excel in academics.

Collaboration skill is a must because the person needs to be able to express ideas well to progress fast as compared to another person who qualifies but unable to express ideas. Moreover, speed is another significant factor to consider.

3. The Universal Mindset:

Having a global mindset in the software development career may require for developing products for the customers of different regions, languages and different devices. Moreover, the other part of the global mindset is flexibility to work with the co-workers that might be working from multiple locations or remotely.

According to the research claim, 50% of the workforce will be remote by 2020, showing the importance of having the global mindset, being able to work well with people whom you may have never met in person, having different backgrounds, and openness to welcome diversity of thoughts will become mandatory.

4. Lattice Career Progression:

Previously, career progression was largely linear; whereby a person would be moving upward through a traditional way from a junior role, to a mid-level, senior level, manager and then possibly retiring as a senior executive.

However, the career progression in the future will be lattice, where you will progress throughout your career by adopting new skills and performing innovative tasks.

According to the estimates, 60% of all new jobs will require skills that 20% of the current workforce possesses. It means you will need to be flexible, adaptable, learning throughout your career for growing in the future.

5. Creative Self-Starters Rather Than Task Implementers:

In the current digital age, creativity is the key to success rather than implementing someone’s else solution. Self-starters who come up with creative solutions will be more valuable than tasks implementers as creative minds have become the need of the hour for future success.

Having an entrepreneurship passion will become the need of the hour and companies will encourage this characteristic as humans are innovative and they can do quick work as compared to the robots.

Get ready for Achieving Future Goals:

The future of work is not too far off as we are already seeing its glimpses today in the software industry. Get ready for the most significant change in the software industry trends. This change will bring the best and open more chances of success.

We offer outstanding software solutions and mobile app development services for our clients all across the globe. Our team of developers employs the latest technology in software development and provides outstanding solutions to customers. If you are interested in reliable software solutions for your business, contact us today.