How Artificial Intelligence Fuels Magento E-Commerce Stores Success?

By Guest Contributor on September 18, 2019

If you run an E-commerce store, you must be looking for possible methods to improve the store performance, conversions and sales with minimum efforts and investment. In this blog, it is covered how Artificial intelligence can meet all these objectives in the best possible manner. Artificial Intelligence has helped several brands to reach the desired results. It provides plenty of opportunities to the brands where retailers compete with each other to provide some unique stuff to gain maximum conversions, grow customer base and ultimate shopping experience. With regular advancement in voice search technology, AI-based devices such as Alexa, Cortana, and Watson, are gathering huge eye-balls almost daily, hinting a big role to play in the E-commerce industry.

Let’s find out how AI is helping Magento based E-commerce platforms.

1. Customer Oriented Search

With the implementation of Artificial intelligence in Magento E-commerce stores, the brand can target the right users with the right messages for right output. AI applications are based on the self-learning algorithms to drive information from a large set of data of thousands of customers and targeted them in the best possible manner. This is a great way to rule out any human-based error.

2. Purchase Assistants

Purchase Assistants are a big improvement in boosting sales and it is not fully implemented yet. Using the virtual purchase assistant a lot of time spent by the shoppers in making a buying decision is reduced automatically. It automatically analyses and monitors the E-commerce store upcoming deals, price drop, and the launch of a new product. A major change that is worth praising is, these assistants can by default add the products to the cart and carry out the checkout process on buyer behalf if interest is shown in the product and instructions are given to AI-based assistant.

3. Boost Security

E-commerce business is based on accepting payments and doing financial transactions online. However, a challenge for store owners and buyers is the online fraud, data breach and theft. These challenges can be fixed by combining the advance security standards of Magento with Artificial intelligence. The technology has multiple uses like implementing fast iterating models to lower manual review queues, lower false positives with behavior analysis, using experiential information to adapt to new business lines and boost human decision-making with higher accuracy.

4. Fast Customer Support

A chatbot is an AI-based computer application that is designed to help buyers with their queries over the Internet. Chatbot application converts visitors to potential customers. These applications have helped E-commerce brands to lower the cost by replacing customer support executive. They can support hundreds of users at the same time which is not possible with a human being. Also, chatbots need information like product details, quantities, and shipping information to provide accurate answers to customers. Chatbots offer a valuable and instant customer support service which was earlier provided through contact forms, phone calls, and email.

5. Personalized Shopping Experience

With the popularity of E-commerce platforms like Magento, most of the traditional businesses are moving to “click-and-mortar” model. But, there is still a lot of improvements need to be made for the E-commerce stores to offer personalized shopping experience the way it is available in the stores. To personalize the customer shopping experience, AI is the perfect way to achieve. AI-based campaigns can be run to target the potential audience at the right time. AI can help in the personalized shopping experience using push notifications to the smartphones of shoppers. Magento’s latest version offers amazing advanced features like Personalized recommendations, gift options, loyalty programs, customized tier pricing and cross-selling options to the store owners.

6. Post Sale Support

Most buyers complain about after-sale support but with AI online stores can take care of the customers even after the sale. This innovative technology engages customers through different means:

  • Sharing automated post-sale follow-up notifications as well as the e-mails.

  • Addressing customers’ complaints, product returns, refunds and queries.

  • By processing warranty claims.

  • Sending notifications regarding customized offers, new sale and upcoming discounts.

Although Artificial intelligence is not as appealing as human interaction. However, with technological changes, AI is helping shoppers at every pre and post buying stage.

7. Inventory Management

For the optimized performance of the E-commerce store, inventory management is essential. It includes the stock requirement and resource allocation for the inventory which is not needed.

  • AI intelligently manages the stock, make records of the products present in-stock.

  • It suggests how much stock is required for tomorrow and precisely when.

  • All the factors affecting the sales are evaluated.

8. Sales Forecasting

AI also helps store owners to project future sales. This help in increasing and decreasing the stock amount. Following resources are kept in mind to make predictive sales analysis:

  • Last year sales history

  • Market share of competitor’s

  • Real-time changes

  • Customer buying trends

  • Alterations in demographics, age, and gender

Wrapping Up:

It’s not difficult to implement AI in E-commerce store. AI technology is simple to use and implement with minimal investment. After going through all the benefits of AI, every store owner will implement it for best business results. Including AI as your business strategy will help to make your store a proactively selling store. Currently, when everything is accessible at a low price, personalization and uniqueness is the most important element to run a successful E-commerce store in a highly-competitive world. The way AI is growing its relevance in the business world its integration is a must.

Author Bio –  Elina Reddy, Sr Magento Developer in Magento StoreMagento development company.

How AI is Changing The World of Mobile Apps

By Guest Contributor on September 12, 2019

Mobile apps were once the fancy term for a next-generation tool tailored to enhance everyday tasks. Fast forward to the current times, they have become a necessity.

Not a single device would you find that does not have apps. And though the idea behind the apps might appear the same, technology has altered the fact of its development.

What started with static pages is now data-driven, dynamic and interaction specific. 

Yes, we are talking about the new trend of mobile apps, Artificial Intelligence! (AI Technology). According to research, the global AI spending is expected to rise to $79.2 billion by the end of 2022.

Meaning that, if your app is not vesting in Artificial Intelligence, then surely you are missing out on something large.

And this is not the end! Witnessing the pace at which Artificial Intelligence is growing and the speed of its integration, sooner would we see the end of non-AI apps. 

Again, it might appear to be some buzzword for you but the ones that know about it are aware of the true potential of the technology. And so, have been investing lump sump in the integration of the technology.

Whether your business delves in the healthcare sector, the finance industry or manufacturing units, AI has something for all. When integrated with mobile apps the potential of the technology rises in leaps and bounds. 

To make this discussion more specific and inclined towards the need rather the effect of AI in the mobile app development industry, we highlight instances for the same. 

AI Technology Driving Mobile App Development 

  • AI Fosters Automation In Mobile Apps

Automation is in its full swing and this has instilled the idea of replacing humans in the minds of all. But this is not what AI aims to achieve.

What we mean to say is that AI helps automate things that can reduce the burden on humans. It nowhere states that such would turn humans jobless.

AI boosting automation means that it would help humans do tasks better and further indulge in enhanced decision making.

Commuting apps are seen using the mechanism of artificial intelligence to asses traffic and find the optimal route. However, we never see AI driving the cab instead of help drivers drive better. 

  • Better Engagement & Improved User Experience

Analyzing the behavior and responding patterns of humans, Artificial intelligence has the potential to better the user’s experience.

An AI-enabled mobile app can gather tremendous user information and such information can be used to draft data patterns which further helps you take better and informed decisions. Further, AI can track location and enable data transferring thereby enhancing the user behavioral patterns.

Another aspect where AI shines is customer engagement. It is predicted that by 2025, 95% of the organizations worldwide would use AI-driven bots to engage with users.

Given the fact that user experience via chatbots engagement is better than human aided customer engagement, AI no doubt improvises user interaction. And this further fuels business growth. 

  • AI Technology Increases Personalization

The present-day users seek results, one that is personalized and based upon their own needs and preferences. Well, this might have not been possible had it not been for AI Technology.

Abiding by the need to deliver user-specific results, apps built using the technology of artificial intelligence keep track of past behavior of users and preferred choices.

This in a way leads to customized user experience. Some of the real-time examples of AI embedding personalization includes Starbucks, Amazon Go, and Barista.

These apps track users behavior and predict the most likely choice of a customer. In a way, AI-driven machines are capable of self-learning and this fosters personalization. 

  • AI Pages Way For Creative Development

AI definitely improves customer experience, benefitting them on a whole. But that is just one face of technology. Alongside the customers, Artificial Intelligence helps developers code less but better.

Such suggests that developers can cut down the cost and time of development and at the same time improve the quality of app developed.

Developers can automate mundane tasks while embedding creative ways to build the same app. No wonder why AI has been adopted by the majority of app development companies worldwide. 

  • AI keeps You Updated

The present-day competition revolves around data and this is exactly what AI strives to trigger. Given the huge influx of data every day, companies that have integrated artificial intelligence stays updated with the ongoing business trends while upgrading theirs to the same.

AI-driven apps help organizations foster their overall growth through the expansion of products and services. eBay’s app is totally based on AI and the home page displayed is customized based on users experience. 

Having said all of the above, I would say this is just the tip of the iceberg and there is more to this technology. The opportunities and benefits as laid by AI-driven apps remain indisputed and hence, it’s time that you too give the technology a curious thought. 

How AI Is Revolutionizing The Healthcare Industry

By Guest Contributor on September 11, 2019

The effect of AI is evidently visible across industries around the world. But its influence over healthcare is really life-changing. Now, AI is all-prepared to introduce paradigm shifts in the healthcare industry with its ability to mimic human cognitive functions.

AI is a transformative technology and, it has got everything to revolutionize the healthcare sector in different ways. It can help patients receive better care at reduced costs. The technology can support patients from drug development to clinic research and turn treatments more effective and affordable.

Seeing AI’s benefits to the healthcare industry, many public and private healthcare providers in the healthcare industry has opened their investments in implementing the technology.  According to an Accenture’s report, AI based solutions can create an annual cost saving of $150 Bn. by 2026 for US healthcare.

Big Data & AI in Healthcare

Latest advancements in the AI technologies have begun the discussion if AI-doctors will replace human-doctors in the future. Though, it doesn’t seem to happen anytime soon. But for now, AI can help physicians make better decisions while treating and operating patients. AI can replace human decision and judgment making in certain areas like radiology.

Big data is also helping developers successfully apply AI to healthcare. Today, we are seeing a noticeable development in Big Data analytics, and its various methods. In fact, Big Data can make available a lot of clinically relevant information. AI, together with Big Data, will let doctors make better clinical decisions.

AI is based on highly sophisticated algorithms and, its learning is driven by a massive amount of data. These algorithms allow obtaining insights for assisting clinical practices. Also, with self- learning and correcting abilities, the system gets better accuracy based on the feedback it receives. By this approach, the whole system gets better with time. The system can also help in minimizing therapeutic errors. By having access to a large amount of data, the AI system can make predictions about the potential health risks.

But do we really need it?

AI has become big and powerful. There is no reason to question its effectiveness. Soon we will see a huge impact on the healthcare industry by AI. Here are certain facts listed below:

  • Hospital errors are one major cause of patient death. Though, no one deliberately makes such mistakes, but when these mistakes occur, someone’s life is lost. AI can help in avoiding these mistakes, which are completely preventable but caused because of negligence or wrong decision making.
  • With AI based health caresolutions, doctors are able to make early diagnosis of diseases and begin their treatments to avoid any fatal damage. This contributes a lot to saving human lives.
  • AI is delivering high value in areas like pharma, radiology, pathology, etc.
  • AI can also be implemented to fight with chronic disease like cancer, diabetes, etc.

Below mentioned are the ways AI is changing the healthcare industry

AI powered virtual assistant for personal healthcare

Now, a personal health virtual assistant can be as simple as an app installed in your mobile. Also, with the power of AI’s advanced algorithms, such assistant can deliver massive health values to users. Cortana, Google Assistant, and Siri are the names to some of the voice-command enabled virtual assistants, which can also be deployed to deliver health benefits to people.

AI for quality sleep

AI can also be adopted to improve the quality of sleep. There are a variety of AI-based solutions, like mattresses, baby monitors, sleep apps, etc, which help people have improved quality sleeps.

Medical Imaging Analysis

Another field where AI can simplify healthcare is radiology. AI powered systems can make diagnostic simpler. The system can examine imageries from X-rays, MIRs, CT scans and generate feedback, which can be analyzed by doctors.

Precision Medicine

AI can also help in the formulation of precision medicine.

Healthcare Bots

Soon, we will have healthcare bots that will function quite similar to chatbots. Patients can simply chat with them for health issues and then get answered with suitable solutions.

Key predictions for The Future of Voice Assistants and Artificial Intelligence (AI)

By Guest Contributor on August 28, 2019

In 2011, the first voice assistant was built for controlling the apps and to run them over apple smartphones. It was termed to be Siri and its performance levels were frequently exceeding thresholds of Tech Innovations.

In the recent developments, the practical application of voice-based assistance has reached to a prolific rate that out of 6 American’s at least one uses smart speakers.

It is expected that around 100 million smartphone users would access to voice-based assistance in 2020.

The current trends for voice-based assistances are equally shared between Amazon and Google competing with each other to build the brand product in the market.

The need for voice interface is kept amongst the high priority whether it may be healthcare or banking sector.

Beyond categorizing voice assistant some of the enterprises deliberately plan for building their own voice technology and integrate to their product for meeting to the demands of customers.

What’s causing the shift towards voice?

The main reason for the shift to the voice user interface is due to the monotonous changes present in user demands.

Today’s millennial consumers are well aware about the multitude levels of comfort zones demonstrated using voice assistance and so at once switch to smart speakers that exhibit speed, efficiency and convenience.

This instantaneous user behavior is also influenced by the presence of IoT devices like smart thermostats, speakers and appliances handled in the everyday lives.

Some of the IT & Technology experts predict that voice technology would be integrated into every applications for maintaining mobility and user convenience.

Given below are some of the key predictions for voice assistance integration over the upcoming years are:

Streamlined Conversations:

Generally, the voice assistance tool earlier required an initial prompter like Alexa, or Ok Google to commence any application upon placing voice commands.

Now the voice-based assistants are better streamlined without the starters efficiently working for people who are engaged in multitasking at specific locations.

These voice integration with their featuring benefits prove that there is a lot happening within Mobile App Developers who are working behind these technologies to make life easier.

Compatibility and Integration:

Initially, it was Amazon that introduced Integrated Voice Technology to users for them to get benefitted from smart speakers.

It was built for establishing an easy connection to a lot of electronic gadgets and soon were becoming a monopoly.

Once Google Assistant Connect came into picture this all started to change from compatibility to integrations the voice assistant could efficiently manage custom built devices to operate specific functions.

Moreover, in 2020 there will be a proliferation of connected devices that would make use of a voice-based assistant to operate from anywhere.

Search behaviours will change:

Voice Searches usually do not require a visual interface for a proof of identity and therefore detecting user personalization is going to be undoubtedly a challenging tasks for voice-based assistants.

It also creates difficulty in open and run specific applications without voice assistant. This proves that search behaviours will feature a bigger change due to the number of users accessing voice assistants.

Now you can run any brands through voice-based commands ensuring only organic searches are fetching results in order to achieve brand visibility.

Individualized Experiences:

The individual experience might get better and excellent through differentiating voices and then establish a connection to respective applications.

Google Assistant Connect provides up to 6 users to share access with clear distinguish ability allowing each user to customize their features securely.

This might be linking of contents like Netflix, Spotify and Google Play commonly for every user and thus create the individualized experiences.

Voice Push Notifications:

Voice Technology works based on distributed push notifications and far more capable in re-engaging users with their earlier used applications. Henceforth, Amazon and Google have started to allow their user base to enable voice notifications from any 3rd party apps and then enjoy the AI convenience of reading out notifications. Generally, these notifications are built for calendar appointments and also for new contents appearing part of core features within an application.

Touch Interaction:

In the recent CES 2019 summit, the report clearly states that both voice and the visual display is about to be merged into one attractive user experience.

This would urge more no of users to access mobile applications through voice-based assistance and then get their work done easily.

Some of the commonly used features in mobile apps are local traffic, calendar and weather information.

Security will be a Focus:

Statistically, about forty-one percent of voice assistant users believe that there should be a revamped privacy and trust built for accessing apps.

Similarly, Google and Amazon mobile conferences focuses a lot towards answering the raising concerns about payment security and sensitive information protection.

The next thing in the near offing is to produce smart speaker ID and verification processes that would offer more security for the users.

Why adopt a Mobile Voice Strategy?

The use of smartphones and user personalization is frequented more often after its purchase, with only smaller screens available to work it becomes imperative for integrating voice based assistant to applications.

The introduction to voice commands for remotes allow users to browse fast and download their favorite movie or shows.

This would become a reality only when a voice-based search is conducted thus serving to a better mobile experiences. It is far and wide clear that brands are beginning to pay a lot of attention towards integrating voice based assistant for surviving in the competition.

Final Words:

The practical application of voice assistants are in demand for a number of industries for it is hugely sophisticated and useful on a daily basis.

Consequently, Voice Assistant manages in creating the ultimate mobile experience for the end-user everlastingly.

In most of the occasions, it is the lack of skill and knowledge within enterprises that largely prevents in adopting to voice-based strategy.

However, there is an ample opportunity present for building a voice-based assistant and to provide conversational experiences for customers.

This article is contributed by  Vignesh,Digital Marketing Executive, Blogger at Way2smile – Mobile App Development Company.

How AI, Big Data and Machine Learning Are Shaping the Energy Industry

By Guest Contributor on August 1, 2019

Machine learning has been impacting a vast variety of business sectors in the last couple of years, ranging from finance (with the Fintech boom) to eCommerce and many more.

Energy has also been another big part of what’s known today as the “machine learning revolution”, both from an architectural setup to the execution of risky tasks in the nuclear field, for example.

Machine learning and data science have been a considerably big focus in an industry which still amounts for billions of dollars every year, worldwide. Let’s analyse, therefore, what’s the impact of these technologies on this very sector.

Automation and The AoT

The so-called “Automation of Things” has become quite a big obsession in the warehousing business, after Alibaba made public that, by simply fully automating their whole supply chain in 2018, they were able to increase their productivity by over 70%.

Warehousing principles are applied to the energy sector as well, with dozens of Python-based tools being installed in control rooms to automatically keep control of the entire facility, its power and “metabolism”.

Automation in complex energy facilities such as the nuclear ones is a matter of security as well, given the fact that it decreases the chances of human errors which, in case, would cause major devastation.

The Evolution Of The Matter In The Next Couple Of Years

Machine learning is stated at over $2 billion in value and it’s definitely very likely to increase even more. Just by covering its applications in regards to what is going on for the architectural setup of machine learning and deep learning,

we can safely say that this niche part of the industry will grow both from a technological perspective and, most importantly, from a business one. Energy-related startups, following a Forbes study, have grown by at least 24% in 2018, leading to:

a). More job-related positions on the matter: the figure of the “automation engineer” has, in fact, grown visibly and tangibly in the past couple of years, peaking at over 15% of the entire engineer market, in terms of job positions and availability in terms of resources from companies.

b). More investment influxes in the next couple of years. With examples like Currant and Raptor, who went through millions of dollars in investments (already repaid), it’s safe to confirm how this subject will attract more tech moguls and investors in the nearest future.

How Does Big Data Work With Energy?

If there’s one thing which combines the energy sector and big data, that would definitely be marketing. All the biggest and most successful companies in the sector have been using data in order to properly target their potential customers.

From a marketing perspective, the energy sector basically wants to provide plans which are targeting every potential customer differently. With examples like the recent Cambridge Analytica scandal, although, this very matter has been highly questioned in the recent past.

Luckily, GDPR in Europe has stated some cardinal rules for what concerns data acquisition, especially in regards to big data and data points.

An Example Of An “Automated Power Plant”

It may sound like science fiction, but automated power plants which are working with heavy machine learning tools have become reality in the recent past. Dissecting their workflow, we were able to understand how and which algorithms are doing specific bits:

a). The main architecture is coded in either C++ or Java and represents the “muscles” of the automation process. By telling which specific parts are moving in a power plant, this saves a lot of time in communications and execution.

b). The “brain” of these tools is usually made by a combination of Python and R. Guidelines are given to the Python tool which then processes all the variables via generally R coded algorithms.

This is a very simplified version of an automated control centre in power plants, which escalates to tens of these algorithms in complex architectures such as nuclear power plants, for example.

Will This Be a “Problem” For Us Humans?

Technically, every single time a machine learning-related matter approaches the “mainstream” market, someone comes out saying that “this will be the bane of our jobs”.

Realistically speaking, though, the application of these tools to every single energy-related facility will most likely happen in 2060, therefore there is no reason to panic. Plus, surveillance will still be required to check if everything is properly into place and, most importantly, these tools must be guided and programmed, in the first place.

With this being said, there is absolutely no reason to panic. Power plants and every single energy-related architecture will still require some sort of human guidelines.

The Mobile World: Remote Control For Workers

In a recent study, it has been pointed out that some app developers in the UK have been working on mobile apps which were capable of controlling warehousing and management tasks straight from their smartphones.

In warehousing management, in fact, the usage of remote controls has become quite normal since 2015, therefore there are no reasons why this shouldn’t apply as well to power plant controls or anything else in between, especially if machine learning related, where variables and guidelines are interchangeable anytime.

Connection and Blockchain, An “Almost Tangible” Hypothesis

A big problem between power stations has always been the fact that communications could have been quite slow. Imagine if all the above-mentioned tools could be able to communicate between them instantly by relying on a simplified blockchain-based structure.

This could be quite game-changing and will, if properly set up, save a lot of errors, dangers whilst, at the same time, improving the station’s productivity. The evolution of this very matter will actively set the foundations in regards to the entire technological evolution of blockchain being applied to both warehousing communications and management.

An Overall Picture Of Energy, Machine Learning And AI In 2019

With everything that has been said above, it’s important to understand how the application of machine learning to the energy sector will set the future for other business and supplying sectors in the nearest future.

It’s no secret that robots will dominate the warehousing world in the nearest future and, therefore, it’s important to monitor everything from both a technological and business perspective.

At the minute, this very technology is being put into place and has reached the stability needed for it to become something which could be considered as “an industry-standard”.

To Conclude

Energy as a whole has always been a sector which has embraced new technologies since its very beginning. The “nuclear revolution” has been the first big implementation of new pieces of technology in this sector and machine learning/ML and everything in between will definitely be the second big industrial revolution in this very sector.

With all the examples mentioned above and after a proper analysis of how these tools operate, it’s definitely safe to say that automated features and big data will definitely become extremely big in this sector.

This is definitely an exciting time for every robotics student, data science and architectural technology engineer who’s looking for a career change.

This article is contributed by Alice Porter has experience as an Alexa App Developer and is now a freelance tech writer.

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