They say computers were the future. They were right! Computers were the future of business. But what is the future beyond that? Artificial Intelligence is the answer.

First, let’s start with what is Artificial Intelligence?

One is natural intelligence which is displayed by mammals in their everyday activities.  Artificial Intelligence is something which is displayed by the machines. To quantify artificial intelligence in a more technical manner, AI is a mechanism through which machines learn to perceive their surroundings and take actions which help them to achieve their goals. The more accurately they achieve their goals, the more refined the Artificial Intelligence is. Most of the refined technologies are then brought down to the public use. When they are brought down to the public use, they are termed as technology.

So now let’s see how Artificial Intelligence (AI) can be of help in business.

AI can be of help in many business processes:

Analyzing data: Artificial Intelligence uses machine learning to read, understand, analyze and then get the results out. Previously it was done by humans a fair job done till now. Still, when machines started doing it, they were much faster, efficient and effective then what Homo sapiens did. Let me introduce to some reality. There are tons and data which is being generated each and every minute. Billions of emails sent per day. If there are 3 billion users on the net, there are nearly 1 billion websites. These numbers are just representational, in actuality, these numbers keep on increasing at supersonic speed. The data generated is enormous. It is impossible for us mortals to keep track of the data. It is much better if we leave the job to machine learning.

Fact: For those enterprises already in the AI fray, top-performing companies said they are more than twice as likely as their peers to be using the technology for marketing (28% vs. 12%). Unsurprisingly, analysis of data is a key AI focus for businesses; with on-site personalization, the second most commonly cited use case for AI

Search Engine Optimization: Most of the users coming to the internet use search engines. Artificial Intelligence has just made search easier for all the users. Just type in the intended keyword, and the results would appear. Before AI this was generated through keyword relevance and statistical frequency of the search. Machine Learning was used in this process. Machine Learning processes are used to do just basic tasks. Complex tasks require Artificial Intelligence as the knowledge part is deeply embedded in their systems. As they say, search engine optimization is not just about backlinks but many other factors. AI takes into consideration your location, area, frequently searched websites, etc. Artificial Intelligence isn’t unchanging it is made to learn and relearn. This all is done while performing tasks. A perfect example of Artificial Intelligence in action is Google’s, Rank Brain. Rank Brain helps to refine googles search queries and take actions accordingly.

Fact: Artificial General Intelligence will be achieved until 2025. This means that basic human activities of SEO might be carried out by computers. Source: Techcrunch

Customer Service: Customer Service is in the process of a huge turnover right now. Whenever we use Artificial Intelligence, it comes packed with two major capacities. One is churning huge chunks of data into sensible information, and another one is the ability to understand human languages and communicating back in human language. Some famous examples like SIRI, Alexa, Cortana, etc. might come to your mind. Being customer centric when it comes to presales, sales or aftersales is what companies always aim for. After the introduction of Artificial Intelligence after sales service becomes more accurate, efficient and effective. Artificial Intelligence is helpful in identifying customer issues, offer real-time support; define customer behavior pattern, etc.

Fact: Thirty-eight percent of consumers said they believe AI is going to improve customer service.

Business Registration:  Business Registration can be a lengthy process. A few decades ago all the stuff was done manually. This was a time when a lot of documents were procured physically and submitted for the respective processes. Few years down the line the world went digital, and all the documents were uploaded digitally. Still, the time taken was too long, and the approval required usually varied. With Artificial Intelligence in the picture registration and licensing were done in a jiffy. The government of China has taken steps in that direction. Automated machines have been set up at specific locations which are helping entrepreneurs and businessmen to get their registration and licensing done within minutes. This is all happenings because the Chinese Government has started applying space technologies coupled with Artificial Intelligence into daily life. Guangzhou is the city where this process has been applied. The field results were simply phenomenal where the licensing was done in minutes. For example, registering a Private Limited Company would take just minutes.

Fact: Consumers use more AI than they realize. While only 33% think they use AI-enabled technology, 77% actually use an AI-powered service or device.

In business, Artificial Intelligence is the question and also the answer. This is how AI is changing the world. It will be exciting as to how the world will react to changes brought about by AI. is a technology-driven business services platform dedicated to helping Startups & Entrepreneurs easily start and grow their business, at an affordable cost. We have helped thousands of businesses by offering a range of business services right from Incorporating a Company, obtaining various Registrations, Intellectual Property Trademark Registration to Secretarial Compliance, Accounting, GST filings and Returns.

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With the progress of technology, it is just a matter of time when AI (artificial intelligence) will control website designing. Earlier, it took days to create one simple website page (text-based). Besides, the internet was too slow to load a simple web page. Gradually when the internet speed improved, the website designers became more creative and started using videos, images, typography and other elements to create a user-friendly website. In short, the website become heavier.

Now, people are using devices other than desktops like smartphones, mobile and IoT devices to access the internet. So, the current goal of the website designers is to create responsive as well as interactive websites which takes minimum loading time.

In the beginning, the designers required comprehensive knowledge about web technologies like JavaScript, CSS, HTML and much more. A first generation website designer had to code every page individually, which makes it impossible to create large size complex websites. In case of changing a single URL, address or navigation one had to make changes in every page manually.

Today, with enhanced technical support we don’t have to go through such hassles. Single changes at one point, make it accessible anywhere on any web-page. The popularity of CMS (Content Management System) is at the peak. The popularity of drag and drop technology in website development is also increasing day by day.

Continuous improvement of such technological support is empowering the developers to create a fully functional website within 48 hours! Don’t you think it sounds little crazy comparing with the website development procedure a few years ago? Truth is, the integration of AI (Artificial Intelligence) in website development make it possible today how we are developing and experiencing a website. The use of AI and machine learning in website development is empowering the common people (without coding knowledge) to create stunning websites.

With or without knowledge almost every website designer is currently using machine learning and AI in website development. It is not so far when a large number of websites will be powered by AI.

What is AI and Machine Learning?

The teams AI and Machine Learning are now two buzzwords. Although they are often used interchangeably, a thread of differences is still lying between them.

Artificial Intelligence or AI is a broader concept where machines are becoming “smarter” and making decisions or selections based on deductions. The use of AI in website design is now quite a hot topic.

On the other hand, machine learning could be considered as a “current application of AI”. According to this theory, machines are exposed to a maximum amount of data, from where they learn and make deductions. Machine learning is mostly used to create algorithms for  the search engines and dominantly used in e-commerce websites.

Following websites are already using AI in web design

While it comes to offering better user experience, a number of websites are making their moves by merging AI with Web development. Here are some examples:

  • Wix ADI

When it comes to website designing, we don’t have to introduce Wix as its popularity speaks for itself. Wix is using AI to help the users in developing stunning websites. The best part is, you can develop a website with Wix without or minimum coding knowledge. It offers an option to drag and drop elements and widgets to create personalized websites.

The AI technology used by Wix is popularly known as ADI. ADI understands the users’ expectations and helps to create faster and better website with minimum effort. It not only helps in building websites but also helps to customize websites like anything. So, if you are looking forward to building your own website without the help from professional website developers, Wix ADI could help you.

  • Firedrop

Sacha is the name of the AI used by Firedrop to meet the users’ demand. You just need to open the official website page of Firedrop and start chatting with Sacha! You can start chatting with Sacha and start building your personalized website instant. The websites are designed in such a way to meet both personal and business requirements. With Sacha, you can select your own colors, font style, sections and many more. Besides, you also have the power to change the website design anytime you want to with the help of Sacha without any difficulties.

  • The Grid

The grid is one of the pioneer companies who started introducing AI named Molly into website design. Molly is a great aid to the website designers. The aim is to create AI websites that can be designed on their own. To develop such AI websites you just have to answer few questions and upload photos that can best represent your business and you are good to go! Color combination of a website is a crucial point but with Molly, you can use a simple 5 color palette in 200,000 different combinations. Amazing, isn’t it?

  • WordPress Plugins

If you already have a WordPress website and wondering you have missed AI that could improve your website get-up, some WordPress plugins can help you in this process. You can surely find several WordPress plugins that can introduce AI into WordPress site and enhance user experience. You can also add AI-Powered SEO, chatbots, human emotions insights and post recommendations. Although WordPress Gutenberg comes with typing error rectifications, you can improve writing style by adding AI typing error rectification.

Other examples of using AI in web development

So far, we have told you how the website developers are using AI in web development. However, don’t forget that apart from web design there are some other aspects of AI implementations that could have an impact on app development and web development.

  • Google

Google is the giant search engine and whatever you do, you want to see your website on Google SERP holding a good position. Google is also using AI to offer best search result to the users. You will be amazed to learn most of the algorithms recently added by Google are AI based. RankBrain is an AI introduced by Google that helps in filling users with relevant contents. Although it is at the beginning phase, RankBrain may be considered as an important factor for ranking in Google SERP. Apart from that “image search“, which is recently introduced by Google is also an AI-based application and websites with significant pictures of products, landmarks and information will rank for image search.

  • Netflix

Behaviour and selection process of the users are different. Considering these two factors, Netflix has introduced AI to recommend more relevant videos to the users. The aim is to improve users’ experience and ensure maximum relevant search results in minimum time.

  • Amazon

After Google, Amazon is the website, which is using AI at its best. Like Google, they are also using AI to give best search results to the users with appropriate product lists. Improvement in relevant search results helps Amazon reducing product change and return issues. So, you can do the same for your business. The overall page design of Amazon has been also improved while studying users with AI.

The integration of AI in web designing – should you be concerned?

While discussing AI introduction in website development, the obvious thing that pops up in mind is – “is it going to replace the human developers completely?”

Well, this growing threat is concerning, especially when Wix and Grid are offering AI that can develop a customized website without any expert website developer. However, the fact is, it is hard to replace human website developers. Integration of AI is helpful to speed up the website development process. AI can help the user to develop a basic (but good) skeleton of a website, but there is a lot to do to make it competitive before launching.

AI can study the users’ behavior and satisfy their wish but fail to add “human touch” that only comes from a creative website developer. Apart from that, AI can hardly replace WordPress maintenance support and WordPress security.

What we can do now is cross our fingers and observe the evolution of AI and its further implementations in website development.

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Smartphones have been racing in development, for a few years now. The pace at which they evolve was believed to be impossible 10 years ago. Today’s phone can track and locate you anywhere on the globe, connect you to anyone, offer your powerful applications that bend time and space alike. But it kind of poses the question, what else is there to update?

One would fail to imagine any major update that would change the smartphones scene. Yet, the fact that it’s hard to imagine doesn’t mean we’ve reached the end of it. Today, we’ll explore some of the hundreds of possibilities out there.

Bendable Phones:

In 2010, Nobel Prize was awarded for the proof of the existence of a material called graphene. Graphene is just carbon, structured like honeycombs. Its unique 2d structure gives it a lot of enhanced properties. The result? Bendable high performing electronics.

A graphene phone would be very thin and bendable that you can just fold it and put it in your pocket. Not only that, but the performance will be far better. Graphene can allow for better electronic circuits, which perform much faster than normal.

It’s also believed that graphene could achieve transparent phones, as complex as it may seem.

The current problem with graphene is in the production industry. It’s very hard to produce a single sheet of high-quality graphene. Not only that, but the processes at hand produce a lot of toxins that make a mass production out of the question. However, the research has been relentless ever since.

AI in smartphones:

The biggest and hottest topic right now in technology is Artificial Intelligence. A.I. has lately become the holy grail of computer science research. The strenuous effort to simulate the human brain in action has been relentless.

If you own an iPhone, you’re most probably familiar with Siri. Yet, Siri along with all A.I systems we have today are labeled Artificial Narrow Intelligence. They are masterful at some specific tasks, but they can’t go out of their scope. Artificial Narrow Intelligence is the first step of the A.I hierarchy, and so far it’s implemented in several applications on your phone. The Facebook people-you-may-know and the Google ads are all based on A.I techniques in machine learning.

When the current level of Artificial Narrow Intelligence has been mastered, we can expect all types of software upgrades to the smartphones. They’ll excel at many tasks that require human expertise. For example, instead of having dietary planners and training schedules, it could become your trainer all at once, monitoring your performance and analyzing for better results.

The next step that everyone has been talking about is Artificial General Intelligence. Something that would match human minds, only a thousand times faster in thinking. When we achieve that – if we ever did- your phone will be more like your super pet. It will be like having the world’s smartest human brain on your phone, only a hundreds of times stronger. It’s hard to predict, at the very least, the consequences of such breakthroughs.

The problem resides in multiple factors, however. First of all, we don’t completely understand the mechanism of the human brain to properly simulate it. There’s also the problem of controlling this A.I. Elon Musk’s newest foundation, OpenAI, aims to tame the beast and control this technology. In one of his most recent talks, he even suggested that maybe the safest way of integrating A.I is to add it to our brains.

Internet of Things:

We’re currently moving towards the automatization of everything in our lives. The fantasies of the ‘I, Robot’ and similar movies are not far from reach. And guess who’ll be the biggest culprit? Smartphones. Take for instance all of the Samsung phones on the market today, the vast majority of these have automatic updates, and for each of these minuscule updates the AI gets slightly improved.

The Internet of things is all about getting every activity in your life connected to the Internet. We’re saying “every” in the literal sense. Think of laundry, groceries, cleaning, etc. The smallest of everyday tasks, everything will be connected to the Internet, taking actions and collecting or transmitting data. Many experts foretell that smartphones could become your dashboard or control panel. They will allow you to harness IoT’s full potential and keep you in charge of everything the system’s doing.

Every major transition, however, has got its own problems. One of the major problems of the Internet Of Things is the management of the huge amounts of data transmitted and received. And above all, the security of the whole process. The system also includes a tedious amount of sensors, which isn’t easy to synchronize all at once.

The power of the Camera:

The smartphone’s camera has been one of the doors unlocking massive potential and features. Just recently, Apple’s iPhone X started to delve into the possibilities. The new release added facial recognition and animated emojis. So what else is there to expect?

Well, among the multiple upgrades that could take place, Augmented Reality is the most intriguing. Augmented reality is the integration of computer-powered graphics with reality’s feed. Just pointing the Phone’s camera on a specific place will provide you with a streamline of information that you would normally get a headache searching for. It makes traveling and exploring new places not only easier, but much more fun.

In the future, we may even be able to see emulations of historical eras when you point your camera towards historical places.

There are a few applications out there for AR, but they are limited and incomplete in performance. Still, the field will witness fruition in the near future.

How will the world look like?

All these changes make you wonder how the world of tomorrow might look like? While smartphones will bring a lot to the table, we undertake the risk of being enslaved by their power. We’ve already seen this scenario manifest in the real world, with the masses only caring about what the smartphone has to offer. Those who control the content and programs we have on our phones will be, to an extent, controlling the world.

Final Thoughts:

We can let our imagination run wild all it wants, but the real power

Smartphones can harness will most likely remain a mystery. Different technologies keep arising every once in a while to replace its predecessors. The only thing that is for sure is that whatever change the smartphones scene may witness, it will impact our lives drastically. Who knows when Elon Musk’s dream may take place and we get telepathy and enhanced brainpowers? Who knows which dream might take place next?

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Machine learning (ML), the subfield of Artificial Intelligence, will certainly bring massive changes to the world in coming years. As experts believe, the practical utility of ML will soon be available to ordinary users via mobile app – the easiest form of computers available now.

ML is beginning a new age of software development. The developers no longer require doing special programming for their computers, gadgets and other devices aiming to complete several tasks. These devices collect and analyze information that they need to draw appropriate conclusion and learn during program performance, instead.

The technology of machine learning now accumulates the experience from previously completed operations and makes decisions as it happens among human beings. This all will happen through a special algorithm that would reach machines to learn things on their own. The targeted devices will be mobile and, the objective will be achieved by mobile app development.

Initially, machine learning began from computers but as of current trends, it’s shifting more towards mobile platforms via mobile app development. This is why almost all big IT firms have started to promote machine learning mobile app development as the next big thing.

Smartphones come with more than sufficient power which can perform operations as similar as large-size computers do. Here are the confirmations:

  • Google’s language software using the neural network and providing language translations is optimized for smartphones and, it supports devices without the internet connection.
  • Lenovo is working a smartphone technology that would perform several operations without the internet connection. Indoor geo-location and augmented reality are two best examples. This is made possible with the high-speed image processing software along with Google’s software.
  • During the last WWDC 16, Apple presented Siri SDK and, now all developers can incorporate this feature into their apps.

Areas Where Machines Learning Apps can be Implemented

As a multidisciplinary field, machine learning mobile apps can be implemented in areas requiring the intersection of technologies, science and business.

Use of Machine Learning in Robotics

The machine learning capabilities can also aid robotics. We are seeing an emergence of the age in which the robots assist people in doing their works, both at workplace and at home. Also, these can be operated via voice command or remotely or via a few taps on the screens of smartphones. All there required are the machine-learning capabilities for the correct performance, even in unpredictable environment.

The MPL Implementation in Data Mining

Data is the true fuel to smoothly and continuously run the modern day’s business practices. Nothing moves without it. The machine learning capabilities can help a lot in analyzing and finding the interesting connections with the vital set of data.

Machine Learning and Finance

The machine learning capabilities are extensively used in the better prediction of future trends. Customized apps can analyze all sorts of browser related history of previous transactions and social media activities so that credit ratings can be determined. Such system can also provide a result to consider portfolio optimization and send recommendation directly to the smartphones of users.

The Machine Learning Makes e-commerce Simple

Machine learning is providing quite a few opportunities for ecommerce businesses in need of increasing revenue and enhancing customer experience. The globally recognized retail giants like eBay and Amazon have already proved it. However, these are big companies which can afford huge investments to implement ML capabilities at their workplaces, but smartphone mobility provides easiest ways to implement ML via mobile apps.

Here are some examples how enterprises can intelligently use ML capabilities in their mobile app developments.

Searching the Products

The ML based app can provide better product searches in terms of ranking, query-understanding and the questions related to expansions.

Recommendation and Promotions of Products

The ML can help users to get better recommendation for the products they are searching for. Same applied on the product promotion.

Forecasting and analyzing latest trends

E-commerce businesses engaged in fashion industry need information to understand the latest trends in the market. Information of the past season sales and upcoming trends can help them reach more precisely to their customers. Here big data machine learning capabilities aid these businesses to aggregate the trend and sales information from diverse sources and create prediction in real time. The ML can also help fashion businesses to manage better pricing to their products to attract more customers.

Detection and prevention of frauds

E-commerce companies keep facing a variety of challenges but with machine learning capabilities, they can create a defense system by involving continuous monitoring of online activities and creating alarms.


In the past few decades, both automotives and our driving experience have changed beyond recognition. Driving used to be a solitary act but the advancement of mobile technology has transformed our cars into hubs of connectivity. Since the invention of the car, we’ve seen automotives be redesigned countless times, yet this is nothing compared to the changes that we’ll see with the creation of self-driving cars. By 2040, it’s likely that autonomous vehicles will dominate our roads.

One of the biggest changes brought about by new autonomous technology comes is that people will no longer drive cars and cars will no longer be ‘driven’. Instead, we will all become passengers. In the future we won’t need to take driving lessons because our cars will be driving themselves. This has massive implications for our commutes, as we’ll end up with an extra 50 minutes a day to unwind as we travel to and from work.

Of course self-driven cars will change the future of motorization in other subtle ways as well. Insurers are going to have to transition towards charging fees based on mechanical risks and likelihood of a mechanical fault rather than a driver’s past record. Autonomous technology will truly bring us into a brave new world.

Fundamental Design Overhaul

As our role as driver’s changes to that of passengers, the design of our cars will grow to reflect this. Autonomous vehicles will force the automotive industry to redefine the way vehicles are designed and manufactured. Very soon, outdated components like steering wheels will be discarded in favor of communal seating areas and onboard entertainment systems.

In future, passengers will be able to enjoy high quality content through the use of 5G technologies to unwind during their commute. Likewise, designers will start to use electric power as the go-to method to sustain our cars. It’s quite likely that in twenty to thirty years, the fundamental car design trends of the automotive will change beyond all recognition.

A New Era of Mobility Services

One of the most interesting aspects of autonomous vehicles is the potential they offer in terms of mobility services. Self-driving cars would have the capacity to stand in not just as personal cars, but as taxis and fleet vehicles as well. We’re already seeing the foundations of these being designed with apps like Uber and Lyft being a steady replacement for traditional taxi services.

Likewise, automotive startups like Zoox have already been working on autonomous vehicles for use as taxi and in fleets. What’s even more interesting is that when fully autonomous cars are created, mobility services will become much more cost effective as no fees will need to be paid to the driver. It’s also worth noting that you won’t have to communicate with a driver either so you can commute in peace.

Carbon Emissions Will be Drastically Reduced

Lastly, the autonomous revolution will greatly reduce our fuel consumption and our carbon emissions. As drivers, humans are inefficient compared to machines. Vehicles driven by AI will be able to accelerate and brake perfectly to achieve maximum fuel efficiency. As a result, they’ll consume much less fuel whilst driving.

AI driven cars are much less likely to coast in incorrect gears and brake excessively. On a small scale, this will help save money and on a large scale this could save the environment. Some estimates suggest that the transition to autonomous cars could help reduce CO2 emissions by as much as 300 million tons per year. Autonomous cars will not only reduce our fuel bills dramatically, but will reduce our pollution as well.

Autonomous Vehicles = More Free Time

Ultimately, autonomous vehicles will lead to more free time. Rather than being stuck at the wheel trying to brace yourself for a day at work you’ll be able to relax for 30 minutes with your favorite music and some onboard entertainment. Whether this is in a personal car or a taxi you’ve hired in the city. In fact, many won’t even need to purchase a car in order to travel affordably.

In many ways handing over control of the wheel to AI may seem difficult, especially when so many of us enjoy driving on a day-to-day basis. Yet autonomous vehicles will give us thousands of hours of freedom that would otherwise be lost to the struggle of commuting. The future will bring us more transport options than ever before, with more convenience and better prices. Very soon, we’ll be commuting with our feet up as well!

How Artificial Intelligence will make retailing easier than even fore

Shopping! It excites almost everyone; however in real, experience of shopping may not be that much exciting. The markets appear flooded with huge crowds; no matter you go there during weekdays or weekends. Often time, to go market and shop feels like a struggle, even shopping of grocery items sometimes become the biggest mission of the day.

But there is an escape from going market and buying all things. The technology has blessed us with smartphones and apps. Yes, they together are making our life easier than even before. Now, we have apps to shop everything online; from your favorite burger to a costlier diamond ring.

All the purchased items are delivered to given address. We have to do nothing but open a shopping app, browse categories, search for products, add the selected items to cart, provide delivery-details, choose the payment mode, and it’s done.

Does that look easy? Does that inspire you to launch your own m-shopping app? Of course, it does. But many people have expressed their dissatisfaction with online shopping apps. They say because they cannot feel an item, see its actual color or texture, and touch it, they still avoid using apps and prefer doing offline shopping.

No doubt, m-commerce apps or shopping apps lack at providing customers with the senses of touching, feeling and trying a product before making purchases to it. You have limited ways to ask for a different design with your favorite color or for the same design in a different color and so on.

But the fusion of the technologies of artificial intelligence and app development can deliver a shopping app that may let customers virtually sense a product before purchasing it.

And this will happen surely. A report from Gartner says that 85% of customer-interaction in retail will be managed by artificial intelligence by 2020. Some retailers have already started to test and implement A.I. technologies at different operations in their businesses.

An Indian fashion website Myntra has brought in A.I. technology to its platform with which customers may finish up choosing a t-shirt designed completely by software, without any intervention from a human designer. Maybe customer would not also realize it but it is there to make shopping experience more rich and convenient.

Retailers like 1-800-Flowers.Com and Macy’s are also testing the cognitive computing capabilities to predict and serve the wishes of their customers more intensely. Watson—the A.I. system designed by IBM—can also play a leading role in the retail industry.

Staples, a chain retailer with office supplies, furniture, equipment and more, recently announced its plans to implement the IBM-designed A.I. computing technology Watson to bring to life its Easy Button, which can now take Staples-orders by voice, text, email, messaging or mobile app.

A.I. enabled shopping assistance can be the future of online shopping and retailing. When a new customer enters the market, he or she always look for omini-channel tools that can make their shopping easier. We will see that in future, the retailers will use the shopping bots not only to improve the shopping experience of their platform but also to efficiently run a variety of other pursues.

With the help of personal A.I. systems, various customer-processes like support and, checkout in online shopping can easily be automated, without any human intervention. Artificial intelligence based shopping platforms will not only aid shoppers in price hunting rather easily but also, they will have better and improved tracking capabilities like push notifications, behavioral analytics, and automation of various steps performed in online a shopping operations.

Apart from making apps intelligent for stores selling online, the technology of A.I. can also aid retailers wishing to smartly run their offline-stores.  Take the example A.I. enabled in-store assistants for customers.

Many retailers are now experimenting a new set of apps powered by machine learning capabilities whose value goes far beyond than customer merely finding the prices or coupons. Here again, Watson’s cognitive computing powered, location-based software is spotted to help shoppers get information while they are navigating in store. It can understand natural-language queries just by the location of products, related departments or the services in a particular store, and then respond in relevant way.

A.I. technology can also help offline stores avoid losses caused by items go non-scans and other several incidents occurring at the sale-point. Non-scan, for example, rips apart the retailers by an annual lose of collective $45 billion.

The problem is noticed generally at the self check-out point of stores.  Self-checkouts point are installed to reduce friction so that customers can  easily exit from stores, without any need of standing in long queues for several minutes but soon, they became the Pandora box of losses.

But artificial intelligence can be implemented to address the issues created at self-checkout points. Everseen, a company based in Cork Ireland, is testing A.I. based computer vision system which analyzes the video feed from self checkout points to detect if there is any product left un-scanned.

Many companies are even planning to completely eliminate checkout-points. This means customers can enter a store, grab the items they need and simply exist, without thinking whom or where to pay for it. Although, the concept may still take years in becoming a practical thing, but many companies are making headways in this direction now. Amazon has already announced Go, a checkout free retail store still in experimental stage.

This is how artificial intelligence is making retailing easier. The future of m-commerce or online shopping seems to brighter and engaging because of A.I. technologies. Let’s hope for the best.