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The Role of AI and Big Data while Creating a User-Centric Shopping Assistant App


Posted by ThinSquare ON Monday , 29 Jul 2019 No Comments

It is already mid of the year 2019, and we are seeing the boundaries between retail and media getting blurred. With the advancement in technology, it is incredibly vital for the sellers to concentrate on providing convenience to the buyers during purchases. This can be achieved with the lethal combination of AI and big data through which it is possible to create a user-centric shopping assistant app.
We are seeing a shift in the mentality of the buyers, which has made way for AI and big data integrated apps. This has now taken over the online market in a big way. With the emergence of popular brands like eBay and Amazon, the concept of convenient shopping has become more prevalent in websites and apps.

Today, everyone from startups to well-recognized brands is eager to have an online platform for shopping. The need for instant gratification in the form of quick response has become the mantra of today’s generation. With time we have seen the dawn of real-time retailing which has given way to instant communication and group discussion.

It has been estimated to grow by approximately 87% in the coming years. It will receive a major boost with the lethal combination of AI and big data. This way, it will be able to provide an experience that will provide a more personal touch to the buyers.

Is There A Requirement for User-Centric Shopping Assistant App?

Various reasons make it imperative for people to use personal shopping assistant apps. Everyone does not have the luxury of browsing for their favorite dress only since it is a time-consuming process, and everyone knows time is money. The user-centric shopping assistant app can, not only save time but also ensures the saving of money. You can do this by providing customized product recommendations to attract shoppers.

Some of the services offered by user-centric shopping assistant apps include.

Personal Shopping Services
Flight Booking/Hotel Reservations
Movie Ticket Booking and Delivery
Gift/Coupons Options

Salient Features of a User-Centric Shopping Assistant Application

Superlative User Experience

It is exceptionally critical for your shopping assistant app to provide a positive user experience. With its help, it is possible to get a positive recommendation from the customer which can make them revisit your store again. Remember, word of mouth is also a great means to reach more people than any other kind of propaganda.

Provide Search Suggestions

It is extremely critical to have a search facility that can assist in scrolling down the categories and searching at different levels without any 404 page not found errors. It is equally important to show search suggestions while the query is being typed in the search box. By showing a drop-down list of suggested keywords can help the users to select the best option.

Easy Navigation

The application should be easily navigatable. It is therefore vital to have the architecture well-defined.

Properly Label Categories

It is important to have all the categories and pages adequately labeled. Apart from this, ensure that all the search queries are mirrored on the app/site. Also, do not forget to check the searched keywords.

Provide Correct Contact Details & Feedback

It is extremely vital to check the testimonials, contact details, customer support, customer feedback, and FAQ’s help along with delivery options, especially for new and unknown brands.

Keep Track of the Key Purchase Information

You also need to have an eye on the purchase behavior like most frequently visited categories, checking the price of the products, etc. This will help you to learn more about the buying patterns and devise an effective sales strategy.

Customer Focused

With its help, you can determine different ways to keep the customer attracted to your products and convert them into successful sales opportunities with minimal distractions.

Properly Optimized Images

Ensure that optimized images for Google are considered to evaluate your products. You should also make sure that these images are compressed according to the page weight so that it does not result in slow loading times.

User Recommendations

Provide options to the users so that they can suggest and recommend after reading as many reviews as possible. They should also be given an option to cross-verify and have a second opinion before finally deciding to purchase a product.

Viable Support Options

Your app should provide different features like emails, prominently displayed telephone numbers, tracking of the package, online customer service tools, etc.

What Role Does Big Data and AI Play in Creating eCommerce Apps?

Search results are not only based on exact matching keywords but also recognizing synonyms, product relations, and types. Your user-centric shopping assistants will be able to customize the following functions:

Providing the option to search through image and voice to make it convenient for the users;

Makes it easy to shop with the aid of AI-enabled shopping assistants. In fact, these virtual assistants are as good as human counterparts. For example; Amazon Alexa.

Predicts sales in a very brilliant way along with fact-based segmentation and not to forget analysis of review;

Aids in speeding the warehouse operations, curtail workforce, reduce costs, and increase revenue.

Different Ways User-Centric Shopping Assistant can Be Helpful

With the help of user-centric shopping assistants, it is possible to book/process orders on behalf of customers through chat, email, or phone calls. Also known as a chatbot, it is nothing but an AI-based software program that is highly effective in increasing the sales of a business. Some of the functions performed by user-centric shopping assistants include.

Processing customer orders;
Recommending products based on current trends;
Processing financial adjustments;
Supporting clients with exchanges and replacements;
Maximizing client base;
Suggesting a viable solution to customer queries.

With the help of these user-centric shopping assistants, Fortune 500 companies acquire new customers, get rid of the redundant customer support by providing automated chat support. You can also utilize them in different shifts as per various time zones, i.e. round the clock. These virtual assistants/chatbots scrutinize the complete list of product offerings, which helps in providing the above-par customer experience. Certain companies have got great results by combining chatbots with email marketing strategies. You can utilize chatbots to:

Mass message customers;
Send old chats or reminder messages when a product is back in stock;
Send reminder messages when a similar product is available at a lesser price.

Some of the prominent examples of user-centric shopping assistant are:

Nike’s chatbot that has assisted in boosting the conversion rates from retail messenger campaign;
eBay’s shopping bot is the ultimate auction tool for the company.

Are User-Centric Shopping Assistants Intelligent?

With the advent of big data and AI, user-centric shopping assistants are now able to perform without any human intervention. Some of the activities conducted by them include:

Comparison between the prices of different products;
Providing personalized discount coupons;
Sending alerts to the customers whenever an unsafe product is found;
Tracking the customer history of shopping.

Concluding Thoughts

There you have it the different things that you got to learn from this write-up about how user-centric shopping assistant apps are making the world go round their feet. All this has become possible, thanks to AI and big data. Although much of the user population still prefer to interact with real people before making a purchasing decision, things are changing slowly but gradually.

With the introduction of virtual programs like Siri, Alexa, and Cortana, it has become possible for virtual assistants to provide factual answers to the requests made by users. Overall it has been observed that shopping assistant apps can be handy for users since they enhance their shopping experience.

What’s more, they even learn continuously after each interaction with the users. We are not far from the day when virtual shopping assistants would be the only means of purchasing things on the internet. Till that time, just visualize the world in the near future.

Author Bio:

Harshal Shah is the CEO of MyAppGurus– Mobile app development company. He is an avid learner of breakthrough mobile technologies. In fact, it was due to his passion for mobile technology that led to the inception of this company. He believes in building innovative mobile applications using different types of platforms like Android, iOS, and Windows.