fintech in the middle east

Revolutionizing Fintech: back to the layaway model?

The Corona pandemic has surely turned the tables for the Fintech startups in 2021. While businesses around the globe are still struggling to keep up with this new disruption, the fintech industry is booming – inherently striving to improve their ways with the introduction of distinct fintech payment solutions.

According to data by financesonline, the global fintech market is expected to reach US$ 26 trillion by 2022 and is expected to grow at a CAGR of 23.58% from 2021 to 2025 which is a huge number!

The Fintech revolution in the Western world has already set the bar quite high for other countries who wish to join this industry bandwagon. FinTech in Middle East has however been slower for the past decade but things are set to change now. Given the current economic global depression, it is surely now a blessing in disguise!

To promptly maneuver through this technology-driven era, billions of dollars are being invested to integrate the electronic infrastructure required for such transactions in countries like UAE, especially Dubai. Considering how Dubai is a tourist hub for so many millennials across the globe, the adoption of FinTech in Middle East is inevitable.

We see a new frontier in innovation – The famous de-facto ‘Buy now, Pay Later’

While credit cards already provide the luxury of delayed payments, their infrastructure has remained stagnant for the past 30 years and is being disrupted by BNPL players. The BNPL fintech payment solutions are indeed inferior but ignoring this trend can be a deadly mistake because that’s the thing when it comes to trends – you may never know what may hit or lose the bang again!

The adoption of the BNPL solution is constantly on the rise as it provides partial relief from Cash on Delivery (COD) issues. Before the pandemic, 60% of online sales were through COD; however, this model of the transaction has also been one of the major obstacles in the e-commerce growth for Fintech in Middle East.

Here’s a list of some major shifts this industry is set to undergo over the coming years:

BNPL solution – Not everyone’s survival kit

As there is a lot of competition in the market, one’s ability to succeed is dependent upon two things:

  • The growth in GMV and attaining economies of scale.
  • Covering your losses in the early stages.

These practices will filter out smaller players who will not achieve the required scale or raise the required money and will, eventually, exit this competitive landscape. Only a few independent players will stand their ground, survive and grow, each belonging to a specific category and geography.

Winning the customer

The merchants will slowly aim towards keeping their consumers loyal. Hence, we will see more customized and value-added products to attract the target end-user. The BNPL providers will eventually turn their websites into shopping platforms where customers could make entertainment-focused high-value purchases.

Shahry is the pioneer in this respect, providing a seamless user experience and making sure to capture the consumer before they exit at checkout.

High-level inspection

A strict level of regulation will be required for consumers who will make impulsive purchases. With the strong urge to buy something online, also comes the risk of being burdened by debt, hence, regulators will protect such customers and also inspect the BNPL providers that use tactics that fuel such spontaneous purchases

Traditional players joining the boat

When traditional players like Amazon start offering the BNPL solution at checkout, they will, eventually, end up buying the smaller players. Besides, banks might also introduce a credit card working on a similar structure to keep their loyal consumers engaged.

The Layaway model comes to save the day!

Pioneered by struggling retailers during the times of the Great Depression which lasted from 1929 to 1933, is the layaway model.

The model works on a very simple phenomenon: If a person is unable to pay upfront for an item they wish to purchase then they can “lay it away” and pay through a series of installments, either on a weekly or a monthly basis. Once the payment is made in full, they can take the item home.

In the age of social distancing when more and more people are shopping online, the need for technology-driven payment methods has also increased. Amongst the newest forms of payment methods is the ‘buy now, pay later’ option which functions on the above-described model.

Problem prevention – Now or never!

Many merchants are planning on investing in the BNPL solution but the question is, how can we make this technique seamless to avoid future problems? Here is a list of practices that can be carried out to help ensure optimal outcome:

Exhibiting the right solution – split payments

Analyze your consumers and offer the best possible fintech payment solutions. See when and where were your shopping carts abandoned and thus provide the best-suited payment option plan.

Marketing of the BNPL choice at its earliest

The sooner the consumer is informed regarding the BNPL options, the higher the chances are of them using it. The method can be displayed using banner ads on social media websites like Facebook, where products or deals are advertised, in the description box of the product, and at checkout where BNPL is amongst one of the available payment choices.

Integrating BNPL into seasonal promotion material

When you are promoting your product through a sale on social media, increase the visibility of the BNPL payment option by using hashtags like #Quadpay or #CitizensPay.

Providing an omnichannel experience

To provide consumers with a seamless BNPL solution, an omnichannel consumer experience is the most effective course of action. A few solutions also allow the users to use virtual cards which can be inserted in an Apple/Google wallet and users can simply tap pay on the screen to make any purchases.

Considering the implementation requirements

Use a tool that supports simple and easy integration so that if a new solution needs to be added over time, only a few lines of code are required to get the job done.

Interrogating the abandoned carts

According to the Baymard Institute, the average cart abandonment rate is just under 70%. To help drive conversion, most e-commerce websites send an email to notify the customer about installment payment options that they can avail.

Store registration on BNPL directories

Retailers who offer the payment solution in the store are being actively sought by shoppers, as people are becoming more familiarized with the term BNPL. Listing your store in the provider’s shop directory will help drive more traffic.

Fintech in Middle East adopting the layaway model

To help you better understand the significance of the “Buy Now Pay Later” model, let’s imagine a scenario:

You had your eyes set on a flashy new item at a store close by and couldn’t buy it due to financial constraints. You walked past the store every day thinking how you’d enjoy even a slight glimpse of it through those shiny glass windows.

Then came the BNPL solution where you could pay for it without any interest, get it delivered right to your doorstep, how would you like that?

Aplenty, no?

Keeping in mind how swiftly the solution is becoming popular amongst the masses today, here are two companies in the Middle East, that function on the Pay Later model:

Tabby

Founded in 2019 by Hosam Arab, the Tabby startup offering the BNPL option was a cherry on top for so many people who did not have the privilege of ordering online through credit/debit cards. The company is currently only operational in the UAE and Saudi Arabia.

They did not have to make any modifications to adjust to the new business models that were being introduced amidst the pandemic. The most surprising however was the fact that while companies around the globe were laying off employees, the tabby firm was hiring new ones.

The fintech startup has recently also raised US$ 7 million to propel its growth on entry into the Saudi Arabia market. The customers have the freedom of using their mobile number or email address to purchase products online which provides an alternative to COD. Their revenue is generated through the merchants while the customers can make purchases using interest-free delayed payments.

Tamara

A Saudi-based Fintech firm that was founded in February 2020, is one of the fastest-growing BNPL providers in the Middle East. Just after 5 months of its launch in September 2020, the company raised 6 million dollars in seed funding in January 2021.

Some of the most popular brands in the country like SACO and Whites have been successfully secured by Tamara. It is also one of the very first BNPL firms to become part of the Saudi Central Bank (SAMA)’s Sandbox programme.

The future is bright for the BNPL market as it is expected to grow 400%, reaching a value of 680 billion dollars in transaction volume globally by 2025.

Wish to work on this model? Have a unique idea? We can help.

We can see success happening for the Fintech players as the BNPL solution is setting new standards for online shoppers. They can now make purchases without the hassle of tackling cumbersome money-related issues.

If you wish to work on this model, reach out. We will work through this unique idea of yours and pray that may the odds be ever in your favor!

vaccine passport app

A vaccine passport app becoming the new norm post COVID?

Are you ready to move forward to the ‘new normal’?

With COVID-19 vaccines being rolled out universally, global economies are racing to return lives to normal. Though, at the current pace, it will take us years to fully immunize the human population against the COVID-19 virus. A sense of normalcy has started to seep into our lives – schools have resumed, global travel is operational, people are commuting to their offices, while small gatherings have become common.

However, a majority of airlines, governments, businesses, and schools are still considering how, and what will it take, to safely resume in-person operations. Due to the long-term reality of living within a pandemic, both public and private sectors are speeding ahead to create a source of recordkeeping for verifying an individual’s COVID-19 immunity.

What Is A Vaccine Passport App?

A vaccine passport is essentially a vaccine verification app that will carry your health information -primarily your coronavirus vaccination status. Most likely to become a prerequisite soon, a vaccine passport will be used for traveling internationally, participating in marathons, attending concerts, or for even visiting a movie theatre.

A solution of this nature allows people access to a secure, digital record of their COVID-19 vaccine – that can be stored on their smartphone. The entertainment and travel sectors, which have struggled to operate profitably while imposing social distancing regulations, are particularly interested in a method that can swiftly check who is or isn’t immunized. To add to this, according to a new survey conducted in the United States, roughly 76% of travelers aged between 45 and 54 years claimed to support vaccination passports. Meanwhile, approximately 41% of respondents aged 16 to 24 supported them.

Leveraging Blockchain Technology for A Vaccine Passport App

In an effort for reviving travel and for keeping infection risks under control, tech companies are now harnessing blockchain technology as a solution against counterfeit vaccine certificates. A distributed ledger technology, blockchain allows no personal data to be stored or shared publicly, instead just cryptographic proof that a person has been vaccinated is stored within the virtual ledger.

The overall idea is that you will be able to carry a QR code on your phone, most likely within a digital app, that can be scanned by venues or airlines, giving you the authentication to enter. The code should only contain pertinent information — in most scenarios, just a confirmation that you have been vaccinated with an approved vaccine within the appropriate time frame.

With global economies moving forward to the new normal, South Korea has now developed a vaccine passport ‘Green Pass’ – an app that will enable those who have been vaccinated to return to their pre-pandemic lifestyle. Not just South Korea, but countries, such as Israel, China & the European Union have also implemented or have begun to build their digital vaccine passport for enabling global travel.

How Important Is A Vaccine Passport App for Airlines?

After coming to a standstill during the pandemic, travel is likely to make a major comeback in 2021, once the COVID-19 vaccine becomes widely distributed. The International Air Transport Association, an airline trade association that represents 290 airlines globally, is currently in the final stages of creating a digital COVID-19 vaccine passport for travelers. Labeled as the IATA Travel Pass, the digital health document will offer travelers a method to get a certification of things like their vaccination status and COVID-19 test results from medical facilities. This critical information can then be shared with border authorities or airlines.

Given that health is a top priority, digital vaccine passports are likely to become a requirement for travel, both domestic and international. A variety of factors make digital vaccine passports essential for air travel – these factors include passengers breathing in circulated air, the proximity of passengers, etc.

A Recently Launched Digital Vaccine Passport – New York’s Excelsior Pass

The state of New York has developed a health passport app to restore normal life, enabling people to upload vaccine cards or negative test results to access venues and events. Developed by IBM, New York’s ‘Excelsior Pass’ is a simple digital app that can be accessed on mobile devices. This vaccine passport app holds a handful of items: your birth date, your name, a QR code, a green checkmark, and when the time passport expires. A measure for reducing risk in social gatherings, such an app can prove to be instrumental in containing the spread of the virus.

The Existing Vaccine Passports – IBM Clear, Common Pass, & Green Pass

A channel for paving the pathway to more mainstream options, IBM’s Digital Health Pass is designed to provide organizations with a sensible way to bring people back to a physical location, such as an airline flight, school, stadium, or workplace. Built on IBM’s blockchain technology, the health passport app is created to enable organizations to verify health credentials for visitors, customers, and employees.

Similarly, the ‘Common Pass’ health app enables users to document and share their vaccination history and COVID-19 testing status. The app verifies that an individual’s vaccination records or lab test results come from a trusted source. This digital vaccine passport is a collaboration between the Commons Project Foundation, a nonprofit public trust, and The World Economic Forum, an international organization for public-private cooperation.

The Data Conflict – How Do These Apps Handle Sensitive Information?

In the past, tech companies have not always been the most responsible with user information, which is why developers have to work hard to overcome an established trust void. Ultimately, user trust is critical for ensuring a digital vaccine passport’s use and success. This is why companies must be transparent about their privacy policies so that users can make an informed decision.

Digital Vaccine Passport – A Reason for Widening the Digital Divide?

At each stage, the pandemic has exposed inequities and disparities in our society, and vaccine passports may, unfortunately, perpetuate these problems. The opening up of economies after months of restrictions is well-received. However, there are concerns that benefits will be not distributed equally – leading certain groups to be disadvantaged.

Establishing a two-tier society, a vaccine passport may only allow some people to access employment, leisure opportunities, while others might continue to bear the brunt of global inequities. This form of a digital vaccine passport could further discriminate between people if apps exclude individuals who don’t own a smartphone. That said, faster, wider vaccination campaigns across social groups can ensure a whole community gains immunity – speeding up return to normal life.

Do You Want to Build A Digital Vaccine Passport App?

To return to pre-pandemic levels of travel, individuals need a verifiable method to document their health information as they begin to travel globally. With lockdowns ending, a health passport app has now become a need of the hour. An on-demand mobile app development agency, Mobinspire can build custom on-demand apps that are aligned with your requirements. Based in California, we have been developing, testing, deploying, and maintaining mobile applications for over a decade now.

We are known for overcoming technical challenges, spearheading innovative initiatives, and eliminating organizational inefficiencies. Harnessing a comprehensive methodology, we hope to bridge the gap between our clients and their goals. Known for our experience, expertise, and technical proficiency, our team is well-versed with building apps. So, if you wish to build a digital vaccine passport, get in touch with us.

Applications of 5G wireless technology

How will 5G impact the world of connected apps?

With the emergence of 5G communication networks, the world is at the apex of a stellar technological revolution. To successfully launch autonomous vehicles and attain reliable Artificial Intelligence results, it is imperative to rely on fast, always-on internet connections. Therefore, applications of 5G wireless technology are expected to show remarkable improvements over those working on 4G.

Did you ever imagine a world of interconnected devices, which can gather and share information without delay? With 5G, we can attain groundbreaking solutions in predictive analytics, preventing road accidents in real-time, or in other life-saving applications – unachievable with its predecessors.

In this article, we will delve into the world of 5G, gaining insights into its advantages and how it will be different from 4G for mobile applications in various industries.

What is 5G – how is it an enhancement over 4G?

A 5G network (or the fifth generation of mobile internet) works on the same radio frequencies as 4G but with a significant technological leap. It guarantees a speed of approximately ten gigs per second, 600 times faster than what 4G can give on our smartphones today!

Connection latency with 5G will reduce from 50 milliseconds to barely one millisecond, which means that there will be a significant reduction in time delays in data transmission. Furthermore, millions of devices would connect concurrently instead of a few thousand which we manage with 4G.

Some of the other advantages of 5G are:

  • Less exhaustive in terms of energy consumption because 5G will help save 90% of the network energy.
  • Improved range because 5G will connect 1 million nodes per km2, which will expand the user-base. Moreover, the network will be available all the time.
  • A rise in the number of users without network failure or saturation.

5G challenges

Being a significant technology leap in the IT industry, 5G comes with challenges that experts need to overcome for effective implementation.

Some of the 5G complications are:

Ensuring user security

Like with any new technology, 5G will be required to fulfill the intricate cybersecurity threat protocols. Even though it currently complies with the Authentication and Key Agreement (AKA), some significant issues need resolution. It will be possible to track operational smartphones nearby or even eavesdrop on live phone calls which is a security threat.

Expensive to build and buy

According to a Statista forecast, the global spending on 5G by 2021 will reach $2.3 billion. It will be expensive initially because we cannot build it on a pre-existing framework. An entirely new infrastructure is required to establish a 5G network. Carriers will likely generate funds for the initial 5G groundwork by raising customer revenue.

Deployment and coverage constraints

Even with an appreciable increase in the speed and bandwidth of 5G, certain technological areas will require more groundwork. Higher frequencies warrant highly directional radio waves, a process better known as beamforming. 5G needs to cater to this beaming out of waves over short distances.

Applications of 5G wireless technology

5G will significantly impact several IT industries due to its ability to provide faster data transfer speeds and support a wide network range according to CB insights. This translates to enhanced data transmission efficiency between servers and mobile apps, allowing for low time-consumption for more computations.

Some of the industries most impacted by 5G are:

The Transportation Industry

Applications of 5G wireless technology will completely revolutionize the transport industry a few years down the road. With 5G fusing into our daily lives, cities will be able to get real-time, uninterrupted visibility into their transportation systems.

Furthermore, it will improve Vehicle-to-Vehicle (V2V) communication, adding to road safety in the world of autonomous vehicles. This is particularly essential for scenarios where fatal road accidents can be avoided if information exchange happens without time lags.

Another area where 5G will make a mark is the Vehicle-to-Infrastructure (V2I) sector that connects vehicles to road infrastructures like the traffic lights. This improves traffic flows, making public transit more manageable.

Using diagnostic systems on vehicles can help pre-determine vehicle conditions. Data can be transmitted to and from the cloud at high speeds, aiding in taking preventative measures to ensure travel safety during transit.

The Healthcare Industry

The ‘smarter’ 5G network-based applications will have the ability to analyze information and respond in real-time, even in medical emergencies. Remote surgeries and telemonitoring will be considerably advanced and reliable.

Fields of augmented reality (AR) and virtual reality (VR) will become popular. Especially in medical workplaces where the staff could be trained more efficiently, in real-time.

The medical sector can make use of 5G for everyday life scenarios as well. Especially by using wearable technology for at-risk patients. Live data transmissions to the healthcare providers can alert them in case of potential health risks, pre-determining treatment plans and seamlessly managing emergencies.

The Agriculture Industry

The agriculture sector is incorporating IoTs to optimize farming systems for enhanced outputs. IoT is being used to manage agricultural processes like water management and aerial crop monitoring.

Embedding 5G into these processes can further improve these systems. With features like real-time monitoring and tracking, these systems can be automated for increased profitability and safety.

But for this to work, we need advanced technologies in the agricultural lands of the farms. The UK, for example, has approximately 80% of the rural areas without 4G coverage. Therefore, the farming industry will have to wait longer to embrace the benefits of smart farming.

Mob Inspire ready to embrace 5G!

Technology “inspires” us. We translate ideas into reality. With 5G fusing itself into the world of connected apps, we are ready to develop ever faster applications, establishing significant impacts across the globe.

We, at Mob Inspire, offer extensive mobile app development services for our customers. If you are looking to explore the world of 5G, or wish to get a comprehensive guide on custom app development, reach out to us and let our experts help you out!

internet of behaviors

The Internet of Behaviors: An overview

The concept of mining data to gain valuable insights into user preferences is far from new. Traditionally, companies relied upon physical surveys and in-person interviews to identify potential areas for business growth. Subsequent technological advancements gave enterprises opportunities to evolve their information-gathering infrastructure mechanisms. The humongous amounts of data generated by human activities over the internet have become a rich source of data-driven business decision-making and predictive analytics.

The Internet of Things (IoT) consists of everything from smartphones to smart homes and cars – basically anything electronic, connected to the internetwork which can transmit electrical information. With the upsurge in data volume, IoT is expanding rapidly. Intricately connected, this network of data is becoming complex, so is reliable information extraction.

In this article, we will talk about an idea that extends from the concept of IoT – the Internet of Behaviors and the challenges that we will face as this new trend gains popularity.

What is the Internet of Behaviors (IoB)?

Considering the significant amount of user data at our disposal, it is now possible to anticipate how the human mind works. This idea of predicting human decisions based on personalized data is not entirely a new one. Gote Nyman, a retired Psychology Professor at the University of Helsinki, was the first to come up with the concept in 2012. He said that it was possible to use behaviors for data mining, which seemed far off at the time. But less than a decade later, Gartner listed the Internet of Behaviors (IoB) as the top technological trends of 2021.

In his study, Nyman stated that implementing IoB was easy but accepting it psychologically was the tricky part. The idea behind this concept is to amass user data for predictive data analysis to understand the consumers, strategizing business plans in accordance with the way human psychology works.

Experts have been trying to analyze user data to gain meaningful insights into businesses through data analytics and tools like A/B testing. With IoB gaining significant popularity, enterprises can also perform predictive analysis that will significantly impact how they will plan the product development and marketing approaches.

The Internet of Behaviors can be quite useful in several scenarios like:

Businesses will know more about us than we can anticipate

In many ways, IoB is already underway. For example, with smartphones today, companies can track online customer transactions. They have information about user interests and, they can adopt marketing strategies based on it, allowing organizations to alter their products based on consumer preferences.

Influence our decision-making process

IoB can also prove to be quite essential in altering human behaviors and decision-making processes. For example, during the on-going pandemic, enterprises can leverage IoB through Computer Vision to ensure that the staff is wearing masks at the workplace, which can help in establishing a healthier work environment. Taxi-hailing software can also make use of IoB to check driver behaviors, promoting a safe driving experience. With such IoT applications underway, we can direct human behaviors towards a desirable, positive outcome.

Looking towards enhanced marketing strategies

With data becoming user-centric, the dynamics of the on-going marketing strategies will need to change. Analyzing data through a psychological-driven behavioral-lens will impact the products and services that organizations are offering and their marketing strategies. Enterprises will need to hire Data Science and behavioral psychology experts to understand data and perform informed business decisions.

Challenges

Like with every technology, IoB comes with its set of security problems. Enterprises need to understand that the data that they have is critical. Therefore, its usage should be transparent. Some of the challenges that the IoB industry will most likely face are:

An increase in cybercrimes

Unauthorized data access will be a big challenge that the organizations implementing IoB will need to cater to. Cybercriminals will have the ability to hack into systems and retrieve personal user information for unlawful gains. Phishing will likely reach new levels and, impersonating individuals for fraudulent activities will become common. The consequences of such malpractices can be insurmountable if hackers gain access to critical data like user bank codes or other personal information.

Although experts are already investing substantial time and resources in improving the existing cybersecurity mechanisms, with the way IoT is evolving, this progression needs to be very fast.

Sticking to the cultural norms

Chrissy Kid, a technology author:

The IoT does not gather data solely from your relationship with a single company. For instance, a car insurance company can look at a summary of your driving history. As a society, we’ve decided this is fair. But the insurers might also scour your social media profiles and interactions to “predict” whether you’re a safe driver—a questionable and extralegal move.

The way IoB is embedding itself into everyday user life, a change in the cultural norms is necessary. In the interconnected world of technology, it is not a problem for businesses to link smartphones with various home-based appliances, laptops, and other smart devices. They may further dig deeper into cell phone records to retrieve personal user data. Big game players in the IT field are even selling user data across organization lines which, may or may not be with permission.

The way forward

According to Gartner, by 2023, enterprises will be able to track 40% of the world population digitally so that they can impact human behavior, a significant step towards progress in this domain. Furthermore, paired with the Internet of Things(IoT), it can completely alter the dynamics of the modern world because data is getting bigger and, IoB can help predict and analyze these zettabytes of information for enhanced business growth and decision-making capabilities.

AI and Big Data

How Big Data and AI work together?

According to an IDC report, the world data is expected to rise from 33 zettabytes in 2018 to 175 zettabytes by 2025. With such a significant upsurge in data volume, experts have realized that sifting through it, restructuring it, and then analyzing it to enhance business outcomes is beyond the scope of a human mind. Therefore, enterprises are now moving towards advanced artificial intelligence algorithms to gain valuable business insights.

In this article, we will talk about how AI helps in gaining better insights into organizational data for better decision making and analytics followed by a peek into the scope of AI in the various Big Data industries.

AI-based analytics fueling business insights

A few decades ago, Big Data caused havoc in the IT industry. Now, even though the “dust has settled”, data size is still expanding. All this insurmountable amount of data is useless if we cannot process it to extract meaningful information.

In such a data-centric era, organizations mastering Artificial Intelligence techniques are sure to become the wave of times. AI results are directly dependent upon the size of the data. This means that Artificial Intelligence algorithms can deliver more accurate results if they are fed large datasets to train on. This, in turn, helps enterprises deliver on customer demands and expectations.

There are numerous benefits of adopting techniques which use both Big Data and AI like:

    Advanced algorithms for data analytics

    For decades, ‘SQL-like’ queries were used by enterprises to improve their business intelligence outcomes but with the advent of AI algorithms, more and more organizations are looking to explore these new, AI-based approaches for effective BI and analytics.

    A quicker decision-making process

    Allowing artificial intelligence tools to aid in designing and strategizing business plans instead of the traditional methodologies can enhance BI and analytics substantially. With the rising customer demands, it is only practical to resort to faster decision making processes so that enterprises can provide a pleasing consumer experience.

    Enhancing data quality

    Data quality problems have often been associated with Big Data processing which hinders its ability to provide reliable insights into businesses. AI-based data cleansing techniques can help detect outlier or missing data values, eliminating data duplication especially in situations where similar information is being provided through a diverse set of technologies. They can also normalize information into a single format which can make subsequent data analysis easier.

    Implementing enhanced security with AI

    With technology advancing at an ever-increasing pace, there is a considerable rise in the rate of fraudulent behaviors in the tech world. AI provides specialized tools that can help enterprises protect their businesses from such sharp practices.

    Chatbots expand online business presence

    Chatbots analytics are being increasingly used by businesses to utilize data from a diverse set of sources and then analyzing it using Big Data tools which generates answers to some generalized queries. This is then fed to the Chatbots to facilitate business sales and marketing online.

    Big data analytics reduces business expenses

    With so much data to train AI algorithms, businesses can track consumer reactions to products and services. This way, it is easier to maintain an inventory of products by predicting the required quantity which avoids unnecessary production and minimizes costs.

Artificial intelligence in Big Data Industries

Artificial Intelligence has established itself in almost all the technological innovations of this era. Let’s look at some of these industries briefly:

    AI in healthcare industry

    Numerous artificial intelligence algorithms are being implemented in various hospitals across the globe. Google Brain, for example, is trying to predict an estimated time of death for critical patients who are suffering from certain life-threatening diseases. This allows doctors and specialists to alter the existing treatment plans and provide quality life to such patients.

    Moreover, in radiological diagnostics, cognitive computing is being used to perform repetitive procedures to form analysis. Similarly, surgical robots can be used to aid in high-precision surgeries in the future. With the way AI is currently evolving, the number of such robots is only expected to rise, resulting in a substantial expansion in the healthcare sector.

    AI in the food industry

    The rapidly flourishing food industry is one of the popular markets which can use Big Data and AI for improved business outcomes.

    Some of the farm owners, for example, from Connecterra, are using AI to predict probable health issues with their cattle so that they can take timely measures to prevent them. Such predictive analysis can help farm owners produce good-quality beef and milk.

    Big Data and Artificial Intelligence are also being used by an American startup Brigtseed to recognize some healthy plant compounds which will then be used to create bioactive compounds. This will help in enhancing the nutritional value of food, revolutionizing the health industry completely.

    AI in the Construction Industry

    The construction industry is one of the oldest professions which is trying to evolve to keep up with the latest technological trends, striving for a safe, healthy environment for its workers. It helps managers in scheduling tasks effectively, avoiding delays, conflicts, and resolving several other related issues. Moreover, construction managers are trying to use AI-based technologies to perform some mundane but critical tasks for their daily operations.

    Also read: Use Cases of Artificial Intelligence in Agriculture

The way forward

AI is here to revolutionize the IT industry as we know it. According to a report by Gartner, in 2022, one in five workers will be replaced by Artificial Intelligence. Many sectors are trying to adopt AI-based tools to enhance enterprise decision-making and analytics. Moreover, data is not going anywhere in the foreseeable future. Big Data is just getting bigger. It’s high time that businesses strive to put it to good use, extracting meaningful information that can help in booming their business outcomes. Enterprises trying to adopt AI are sure to replace businesses still adopting a more conventional approach.

iOS 14 Update

Apple iOS 14 Update – All You Need to Know

It was in June 2020 that Apple announced the arrival of the new iOS 14 update. This news took the tech world by a storm and had everyone speculating about what exciting new features Apple would reveal.

There was some heat over the internet towards apple taking the features from android in this release, specifically the widgets. However, many questions arise like; why did apple choose to add widgets now, should we even update our iPhones and what are the new iOS 14 features that Apple has in store for iOS developers. Keep reading and by the end of this blog, you’ll know everything there is to know about iOS
14 and how this update can benefit iOS app developers.

Apple released its latest version of the iOS operating system, iOS 14 on September 16 and this is the biggest iOS update till now. This update is all about the software since it has been released without any new iPhone device. Where the last few updates were more focused on enhancing the stability, this release is all about streamlining the interface by changing home screen designs, updating existing apps,
improvements in Siri and many other tweaks.

iOS 14 Features

Let’s see what features Apple has introduced in the new iOS 14 update.

  1. Widgets
  2. If you have seen the Android vs iOS debates all over the internet then you’re probably aware of how Apple has redesigned the Home screen by including widgets for the first time ever. These widgets (though not as customizable as an android) can be moved anywhere on the screen and give the home screen a pretty neat look.

    Why Apple is adding widgets 8 years after android did? Well, the answer to that is; it seems that Apple wanted to make sure to use the widgets in its own way by adding its own twist through a couple of extra features on top of the widgets (like the Smart Stack).

    These widgets are all first-party apple apps however for the first time ever; third-party apps can also use these widgets and this here is the most exciting news. iOS developers now have an option to work on third party-apps that can benefit from these customizable widgets. E.g. users can now have a google calendar widget or a widget that can control the room lighting setting with the press of a button. Thus, this iOS 14 update can prove to be a major source of revenue for third party applications.

    Also read : iOS Development Trends

  3. Smart Stack
  4. Apart from adding widgets on the home screen, Apple has added interesting dynamic nuances to these widgets. One of these is called a smart stack which is a stack of widgets. Through this Smart stack feature, iPhone uses on-device intelligence to make the right widget appear on the surface based on time location and activity.

  5. App Library
  6. The new App Library is a space revealed by swiping all the way to the right on the home screen. It shows all the apps on the iPhone at a glance where the apps are automatically organised. Inside the App Library, there is also a straight- up alphabetical searchable list for the apps. Apps can be kept in the app library to give the Home screen a cleaner look.

  7. Compact UI
  8. In the previous versions including the iOS 13 update, there are many features and actions that unnecessarily take up the whole screen. iOS 14 update has remedied that by making the User Interface compact. For instance, a face time call won’t dominate the whole screen but would just appear as a drop-down banner on the top. Even during the facetime call, the video can be minimised and other actions on the phone won’t pause the call. This picture in picture window is very flexible. It can be moved around on the screen and even the visual video can be hidden with audio playing in the background.

    Siri has also been updated so that Siri requests no longer take over the entire screen and when activated, it just displays a small animated Siri icon on the bottom of the screen.

  9. Compatibility
  10. The new iOS 14 update is available to users as a free over the air update which can be done through settings. iOS 14 can be run on iPhone 6s or later devices. iPhone SE and 7th gen are also compatible.

What the new iOS 14 means for iOS app development

Now that you know all about the new iOS 14 features the question arises is the new iOS 14 update beneficial for an app development company or not. The most exciting news for the developers is that Apple has finally broken the tradition of keeping its closed off environment when it comes to its features.

  • App Clips

  • This lightweight version of apps can enable developers to promote their apps by offering some functionality and thus persuading the users to download the full version. The app clip can be discovered easily and its quick launching gives a good experience to the users.

  • Widgets

  • Widgets can be said to be the game-changer for iOS app development. As mentioned above, through widgets developers can come up with small yet striking representation of their app’s content and also allow them to display this at the centre of the user’s screen. Since widgets are supposed to be lightweight, it is a chance to show the best content of the app.

  • SwiftUI

  • New features and enhanced support for view layouts indicate that SwiftUI is not going anywhere and can be used by developers to define the structure and behavior of their entire app.

    At Mob Inspire we have an expert team of iOS app developers who are well versed in Swift as well as Sirikit.

  • Augmented Reality

  • ARKit 4 has been improved in the new iOS 14 while the Reality kit and help developers create a new level of animation and realism for AR experiences.

  • Machine Learning

  • Development is even easier and more extensive with new tools in Core ML for model deployment, new models and training capabilities in Create ML, as well as additional APIs for Vision and Natural Language. Thus, developers have the ability to build more flexible and secure ML-based apps.

    Read more : Machine Learning in App Development

From the above iOS 14 features, it is clear that for an app to truly shine, app developers and third parties will need to embrace features like widgets and App clips. However, this is easier said than done because Third-party widgets and app clips still need a lot of work.

Moreover, apple’s release of iOS 14 caught the developers by surprise causing them to scramble to meet the deadline. Apple announced the update a day earlier while usually companies announce the release date a week or two in advance. It is because of this short turnaround that many apps in the new update may have bugs. This is why developers are advising users not to update their phones just yet and wait until Apple has issued an update to fix the issues. Only time will tell how developers respond to this new iOS 14 update but our verdict is that many users will enthusiastically update their phones because who would want to use safari when you can use chrome.

At Mob Inspire, we excel in developing elegant and user-friendly apps for iOS and Android platforms. If you want to update your application to iOS 14 or make a new one and make the best use of the new iOS 14 features; connect with us today so that our experts can take you further.

Artificial Intelligence Technology

How to Fight Coronavirus Pandemic with AI and IoT?

Since the first reported case of coronavirus in China, it has spread to more than 150 countries. China initiated its response to the virus by leaning on its strong technology sector and artificial intelligence to fight the pandemic while technology leaders including Alibaba, Huawei, Baidu and others accelerated their company’s healthcare initiatives. In this way, technology startups are integrally involved with the healthcare sector, education, and various other entities across the globe to activate technology as the virus continues to spread in other countries. 

Below are 10 ways to fight coronavirus using artificial intelligence and IoT:

1.         AI to indicate, Trace and Predict Epidemic:

Tracking the virus in a better way can enable us to fight with it successfully. AI carries the potential to detect an outbreak as analyzed by news reports and social media platforms. Various technology companies provide software to track infectious disease risks using AI. AI software warned of the threat several days before the Centers for Disease Control and Prevention and WHO issued their public warnings.

2.   AI to help Identify the Virus:

An artificial intelligence company in China launched a coronavirus AI solution to detect this disease efficiently. This solution improves CT diagnosis speed that helped imaging departments who are being taxed with the increased workload created by the virus.

Chinese e-commerce giant Alibaba also developed an AI-powered diagnosis system that claims 96% accuracy in diagnosing the virus in seconds. 

3.   AI speeds up the Process of Healthcare:

Other than healthcare systems, business and administrative divisions are also being taxed as they deal with the surge of patients. A blockchain platform helps speed up claims processing and reduces the number of face-to-face interaction between patients and hospital staff.

4.   Drones Delivery:

Drone delivery is the safest and fastest way to get medical supplies during a disease outbreak like coronavirus. Drones are being used for various activities to manage coronavirus pandemic. They are used to monitor public spaces, track quarantine directions and for thermal imaging. Terra Drone is using its unmanned aerial vehicles to transport medical samples and quarantine material that has minimized risk between Xinchang County’s disease control centre and the People’s Hospital. 

5.   Robots Sterilize, Supply food, and Execute other duties:

Robotic process automation is quite helpful as Robots aren’t open to get affected by the virus, so they are being utilized to accomplish many tasks such as cleaning and sterilizing food, delivering medicine to reduce human-to-human contact. UVD robots from Blue Ocean Robotics use ultraviolet light to kill bacteria and viruses. Pudu Technology utilized its catering industry robots to more than 40 hospitals across China.

6.   Treatment Solution:

Using the AI algorithms and its computing power, Google’s DeepMind division published the findings to develop treatments. Benevolent AI uses  Artificial intelligence systems to build drugs for severe disease treatments and they are helping the efforts to treat coronavirus. Within weeks of the outbreak, it used its predictive capabilities to suggest existing medicines that might be helpful.

7.   Protection using Advanced Fabrics:

Companies like Sonovia, an Israeli Startup, hope to arm healthcare systems and facemasks made from anti-pathogen, anti-bacterial fabric for ensuring protection from the virus. 

8.   AI to Recognize Infected Individuals:

China’s sophisticated surveillance system used facial recognition technology and temperature detection software to check fever and virus carriers and similar technology powers “smart helmets” to recognize people’s fever. 

Chinese government has also developed a monitoring system that uses big data technology to assess the risk of presence of virus based on their travel history, exposure to virus hotspots, and potential exposure to virus carriers. They are using WeChat or Alipay apps to access people with the help of color (red. yellow, or green) as their citizens are assigned a color code that indicates if they should be quarantined or allowed in public.

9.   Chatbots:

People can access free online health consultation services through WeChat. Chatbots have also been the source between service providers in travel and tourism industry and travelers to keep them updated regarding latest travel procedures and disruptions.

10.   Cloud computing resources are working on a coronavirus vaccine:

The cloud computing resources and super computers of DiDi, Huawei, and Tencent are being used by researchers to quickly prepare a vaccine for the virus. These systems are much faster than standard computer processing.

In a global coronavirus pandemic, artificial intelligence, IoT, and data science technology have become crucial to effectively deal with the outbreak.

Mob Inspire provides technology solutions including telemedicine white label app, AI solutions, IoT, cloud computing, on-demand services, startup development, enterprise mobility, and more, Contact us today for more information. 

coronavirus

Advisory for Businesses to Effectively Tackle Coronavirus

The Global outbreak of Coronavirus is affecting each one of us. At Mob Inspire, we believe that technology can change lives. Companies are experimenting new ways to stay productive. We are all adapting and responding in our way, and we will continue to play our role in helping all emerge stronger.  

Amid the coronavirus outbreak, influencers and investors are guiding startup founders to look closely at every aspect of their business while staying safe by adopting precautionary measures, which is the key to stay safe from Coronavirus. In this article, we will highlight the ways to keep your Startup business functioning well while handling the COVID-19 situation. 

Turmoil can also offer opportunities, as changing market conditions and circumstances create new challenges to solve and opportunities for startups to grow their businesses. 

Hard times bring out the actual role of company leaders. Be realistic and human, but do your best to keep a level head under pressure. 

The biggest challenge is an extremely uncertain situation due to Covid-19, where different scenarios are almost equally possible. Therefore, it is the responsibility of every person just to adopt the right ways to overcome or prevent the worst situation. 

We urge you to avoid creating panicky as it stimulates unnecessary fears. However, stay ready if this downturn lasts for an extended period. Companies should re-examine hiring plans, think about how sales and marketing change in a work-from-home environment, and consider cash reserves. 

To protect ourselves from this virus, all of us need to participate. What we have learned together has enabled us to adopt the best practices to fight from Corona’s impact.  One of those lessons to minimize the risk of the virus’ transmission is to maximize social distance. 

How to Stay Safe from Coronavirus?

Covid-19 has spread across 167 countries around the world thus far. It is quickly spreading and the best time to control this disease is taking essential steps at stage 1. 

Italy reported its first two cases on January 30, 2020. The number of confirmed affected cases reached 15000 in just over a month. It is evident from these stats that the number of infected people has increased tremendously within a few days and is still continuing. However, taking precautionary measures at the initial stage can save thousands of lives. 

Adopting precautionary measures is very crucial and the key to preventing novel coronavirus. 

  1. Stay away from public gatherings as it is increasing through person-to-person transmission. 
  2. Wear masks to prevent spreading germs through sneezing or breathing.
  3. Wash hands frequently to keep germs away, especially before eating. 
  4. Use sanitizer and extensive deep cleaning should be at the top priority.
  5. Increase the use of Vitamin C to strengthen the immune system as the fatality rate is significantly high among people with a weak immune system. 
  6. Eat a diet rich in fruits and vegetables
  7. Stay at home as much as possible to avoid exposure to affected people. 
  8. Don’t panic if you are having symptoms of Coronavirus as patients can recover from this disease by strengthening their immune system. Taking stress is becoming a reason to increase the death rate. Fighting corona is possible, especially in countries where its spread is less or at the first stage and the number of reported cases are limited, i.e. under 200. 
  9. People who can work remotely should prefer it. Those who cannot work remotely should maximize interpersonal space.  

Also Read: Coronavirus disease (Covid-19) Advice for the Public

Looking Ahead:

Being a responsible organization, we realize and consider spreading social awareness as one of our responsibilities to help people in this critical situation. That’s how Mob Inspire has tackled significant challenges. And it’s how we will rise to tackle this one.

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.

Technology in Logistics

Gear up for these technologies in Logistics in 2020

Logistics industry is technology-intensive. We get to see a range of emerging technologies under research and development phases every year and another set of technologies making their ways toward commercial availability. A slight retrospection of the decade reveals that a number of new areas for research emerged while others moved onto the commercialization phase. In essence, technology in logistics is constantly evolving.

This article shares some of the innovative technologies that are highly likely to make commercial availability on a limited or large scale in the logistics industry. Each of these technologies mainly falls in internet of things (IoT), extended reality, automation, blockchain and self-driving domains.

5G integration into IoT for Wearable Technology in Logistics

The cases of IoT in logistics and supply chain are now frequently coming up. Fleet managers can track the locations of each vehicle in real-time while warehouse managers can verify the authenticity of goods. Besides warehouse staff can also locate every item instantly and determine ahead of time when the supply of a product falls short or exceeds the required limit.

The upcoming year would further intensify the use of IoT since 5G is most likely to get commercialized. The speed of data transfer between transmitters and receivers would increase manifold while latency would reduce remarkably.

Improvement in speed and latency is inevitable now because real-time data information sharing is no longer a choice. Instead it is a compulsion for a range of reasons. The two most pressing reasons include:

  1. The US alone suffers from as much as $43 billion annually in food losses. There is an increased demand from regulators as well as retailers and consumers to place perishable items under real-time surveillance.
  2. Apart from food losses, supply chain leaves a huge carbon footprint. As the governments are pushing businesses to implement strict policy for reducing emissions, the businesses have no or little choice except complying with standards.

The number of logistics operators integrating IoT in fleet management systems is going to increase significantly in 2020. Businesses would be required to integrate sensors in fleet that monitor humidity, pressure and temperature and share the results with fleet managers in real-time.

Besides, the use of sensors identifying amount of emissions and the corresponding data sharing medium within a logistics management software would also witness a sharp hike. Each operator would eventually require publicly sharing data about emissions to democratize the entire logistics chain.

Robotic Process Automation for warehouse optimization

The use of QR codes and subsequently, RFID tags enabled warehouse managers to do away with the task of verifying each item manually. QR readers are extensively used in at warehouses and retail stores to confirm authenticity of a product.

Besides, QR readers also enable staff to find price of an item instantly. Scanning a unit having QR code with QR reader shares the results on a dedicated mobile app. This is helpful in multiple ways

  • A store owner can remotely confirm if a product is available in sufficient quantity or not.
  • The managers can tackle counterfeiting of products. Moreover, smart warehouse technology in logistics management also prevent expired or smuggled product units.
  • Staff members of a store can locate a unit instantly.
  • Warehouse managers can perform effective aggregate planning by ensuring that supply corresponds to demand.

Mob Inspire delivers field service management software customized to each operator’s needs. The software solution with its extensive range of robotic process automation tools eliminates the need to perform manual warehouse management. You can keep as little workforce as you wish by adding the amount of automation.

Blockchain Technology in Logistics for instant payment verification

The amount of time consumed in delivering a shipment from one part of the world to another is unnecessarily huge. Each shipment has to be verified for smuggling, payment verification, and counterfeiting by a number of stakeholders including manufacturers, warehouse owners, retailers, end consumers and regulators. Consequently, the cost of logistics also increases significantly apart from time.

Blockchain is widely regarded as the most viable solution for 2020 and beyond. All major fleet operators including MAERSK with its largest containership fleet are adopting blockchain. The effectiveness is not limited to fleet management. Blockchain based logistics management software is also causing a revolution in retail store management.

Two of the most noteworthy use cases of blockchain technology in logistics management include:

  1. Card-less Payment and Verification
  2. Payment through cash was already a thing of past. Blockchain enables you to move even a step ahead to eliminate centralized banking entirely. The decentralized banking through cryptocurrencies allows you to make payments through bitcoins. You can even have your own cryptocurrency if you intend so.

    Apart from payments, logistics operators are successfully verifying payments through blockchain in a remarkably lesser time. The verification that took days in the past takes only a few seconds now. Besides, blockchain enables you to democratize transactions by allowing each stakeholder to have visibility of payment history in real-time.

  3. Retrospective Tracking of Goods
  4. Blockchain provides another strategy to track perishable goods. Each stakeholder can find the date of production and duration of travel for the unit being shipped. The involved parties have the access to entire history but none of them can forge or delete data since blockchain technology is immutable.

    The tracking through blockchain is highly efficient in tackling the counterfeiting of drugs – one of the biggest challenges in global pharma industry today. Each block provides exact and immutable details of the origin of a drug to ensure that retailers do not accept consignment with counterfeited units.

    The accumulative losses from delays in transportation, drug counterfeiting and foodborne diseases are of the order of several hundred billion dollars. Thus, blockchain based logistics management app solutions are inevitable for transportation and logistics industry.

The commercial framework for autonomous fleet in supply chain

Autonomous vehicles are rapidly becoming a norm. The year 2019 remained revolutionary with multiple operators launching level-3 self-driving vehicles. Apart from Tesla for private use, Uber and Waymo are utilizing autonomous vehicles for ridesharing purposes.

Although there are incidents involving crashes, yet the probability of an autonomous vehicle crash during a journey is very small relative to conventional vehicles. The number of miles traveled against that of crashes confirm this claim.

The encouraging results are pushing logistics fleet owners to introduce autonomous vehicles in supply chain too. Some of the sea-based and aerial logistics operator already have autonomous systems. However, a number of operators would introduce ground based autonomous fleet.

“Automated or self-driving vehicles are about to change the way we travel and connect with one another.”

Elaine Chao – U.S. Secretary of Transportation

Some large-scale logistics business managers are partially operating autopilot in vehicles. The autopilot technology in logistics is extensively used during intercity travels where traffic is minimal. The vehicles in the fleet are capable of applying brakes as soon as the leading vehicle applies brake.

This strategy is proving to be paying so well to research and development in fleet efficiency. The vehicles traveling at constant speed with calculated inter-vehicle distance ensure minimal air friction. Consequently, there is a considerable reduction in fuel consumption.

The commercialization of level-5 autonomy is highly unlikely to be on the cards anywhere before 2025, a number of businesses however would be introducing partial autonomy by the second half of 2020.

Extended reality to facilitate drivers and augment driving experience

Some of the major logistics service providers and vehicle manufacturers are introducing augmented reality features in vehicles for a highly immersive experience. The information including but not limited to weather update, cabin temperature, driving speeds, usual and unexpected blockades is now ubiquitous.

The fleet operators can also mark milestones virtually so that drivers would be able to see each labeled object and the corresponding information in real-time. Moreover, you may also provide real-time 3D navigation facility to drivers so that they find and traverse the most optimized route.

Google announced AR Maps earlier this year and launched what it calls Live View. This feature in Google Maps, still in its testing phases, is set to make widespread adoption in 2020.

Apart from enhancing driving experience, augmented reality technology is also enabling truck drivers to repair minor faults. The combination of wearable gadgets mainly AR glasses enables drivers to find the fault lines and take corrective measures.

Many logistics operators are starting to offer a selection of these AR features. DHL shares some of the use cases of augmented reality and wearable technology in logistics in this brief video.

Transportation industry has over 13.3 million employees in the US due to the repetitive jobs. Utilizing extended reality technologies effectively can save a huge volume of costs. Some glimpses from DHL indicate that businesses employing AR would make huge gains in 2020.

Logistics in 2020 – A Recap

Logistics in 2020

Do you look forward to 2020 and beyond?

Logistics industry continues to evolve with innovative technologies. While AI, big data and IoT technologies are around for some years now, many new inventions and advancements including blockchain and 5G are setting feet deeper into delivery, logistics, and transportation.

Mob Inspire stands among the top technology solution providers and logistics app developers in the world with a range of digital solutions including field service management software, last-mile delivery solution, and logistics management.

Do you intend to optimize your logistics business or aim to launch one from scratch? Contact us today so that we can develop a feasibility study and provide you with a comprehensive business plan before moving on to development phase.