AI and Big Data to develop a Personal Shopping Assistant App
  • 11 Oct 2019
  • Admin

AI and Big Data to develop a Personal Shopping Assistant App

It is not just a next-door shopping assistant app, where you can expect customers' to food in; an experience has to be created with decentralized pricing, making it look like a real e-commerce marketplace!

Convenience is the most important thing which people lookout while shopping. Building an e-commerce store is easy, provided the developer is aware of the basics. What is that the customers want to see? What is that Google is looking out for? How can the conversion rates be raised? How to increase the traffic over the app/website?

We are seeing that the boundaries between media and retail getting blurred. Due to technological advancement, it is incredibly crucial for the sellers to focus on providing convenience to buyers while purchasing. All this can be achieved with a lethal combination of AI and big data through which it is possible to create user-centric shopping assistant app.

Why We Need a Shopping Assistant App?

There are several reasons why people require personal shopping assistant apps. Spending hours browsing online for a new dress is time-consuming which few people can’t effort. Hence, developing a shopping assistance app allows shoppers’ to handily compare prices and get the best deals. It saves time and money of users by offering them tailored product recommendations to seek the attention of shoppers. Nowadays, personal shopping assistant's mobile app development is in trend, usually, it offers numerous services to users' including- 

 

  • Personal shopping services
  • Flight booking/ hotel reservations
  • Movie Ticket Booking and Delivery
  • Gift/ Coupons options

 

Role of AI and Big Data in Developing E-Commerce Apps

 

 

Search is not only focused on keywords but it also relies upon identifying types, product relations and synonyms. Shopping Assistants are customized to do the following functions, such as-

 

  1. AI enables image and voice to search in search engines conveniently.
  2. With AI integrated apps it is easier to analyze customer purchase preferences and anticipate customers’ needs with smart recommendations.
  3. AI has also influenced the logistics industry by making every movement trackable.
  4. It has enabled smartphone users to make shopping across the various categories easy.
  5. It plays an important role in marketing by analyzing the reviews of users which includes analysis of the content of reviews and mining of valuable data from reviews.
  6. The e-commerce industry is experiencing a boom with the implementation of AI in backend business operations. Today Robots who behave like humans are handling warehouses, delivery of shipments and all manual tasks which were time-consuming and tenacious to handle.
  7. From packing to shipping, AI-based robots are managing all tasks which have increased efficiency.
  8. AI integrated devices help businesses to predict the result of sales, fact-based segmentations, and process automation.

 

Personal Shopper App Powered by Both Data Intelligence and Humans

These applications partly use Machine learning and AI in order to automate certain tasks but usually depends on human agents. Such a mixed approach renders fast and adequate services while keeping the human touch. Users are looking out for the sense of style and want to be pleasantly surprised while using a personal shopper app. The Algorithms can hardly satisfy highly personalized requested but an online consultant can. The machines can learn, but only a real person can understand your personality to send you carefully selected recommendations.

The app also able to track users’ shipments from any merchant and inform them about delivery status. How this can happen? Whenever users’ buy something they get confirmation of the purchase sent to their email address with a tracking number. The personal shopping assistant app automatically scans a user’s email and pickups all tracking numbers. Afterwards, it’s up to the app to keep users’ informed about delivery status.

AI-based Shopper Assistants

 

 

As we all know that AI-based applications rely on a machine learning algorithms. These apps are able to browse through hundreds of online catalogues and websites in order to find out required items more faster than specially trained humans can. Also, AI-based advanced personalization should be marked; the algorithm searching the users’ information to know about shopping trends, preferences and personal habits. The gathered information allows for making personalized suggestions and improving the accuracy of search results.

 

Read More: https://www.volansoft.com/blog/make-your-e-commerce-web-development-more-successful

 

As we all know that AI-based applications rely on a machine learning algorithms. These apps are able to browse through hundreds of online catalogues and websites in order to find out required items more faster than specially trained humans can. Also, AI-based advanced personalization should be marked; the algorithm searching the users’ information to know about shopping trends, preferences and personal habits. The gathered information allows for making personalized suggestions and improving the accuracy of search results.

 

Here are some ways to integrate AI technologies into your personal shopping service:

 

  1. Natural language processes enable to communicate with AI agent like you would communicate with a real person. AI understands simple human language, comprehends users’ requests and operates the required actions.
  2. Image recognition is the alternative to text search. Visual search processes uploaded photos and searches for similar items. For example- if you like someone’s shoes and want to buy the same for yourself, the program makes it easy to discover where you can purchase them (or similar product) just by uploading the picture of that item.
  3. Personalized recommendations are powered by machine learning as well. If you usually buy shoes from a specific brand, this app will show you their targeted offered in which you might be interested in.
  4. With the assistance of Price prediction algorithm, you can learn about price hikes or drops thus to snag best deals. You'll be notified if the price on the item will be reduced soon in which you're interested, so you can wait for little to save some money on a purchase.