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How Businesses are Using AI to Design a User-Centric Shopping Assistant App?

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How Businesses are using AI to design a User-Centric Shopping Assistant App

How Businesses are Using AI to Design a User-Centric Shopping Assistant App?

  |   AI and Machine Learning, Mobile App Development

“In 2019, the already blurry boundaries between retail and media will mesh into conglomerates of selling, guidance, entertainment and the vital bravado of outright opinion.”

 

Today the buyer’s value convenience while shopping, the market is ready to respond to this demand by shifting towards AI integrated app that’s why retailers are moving towards online business.

 

The trend of convenient shopping started with websites and apps of individual brands like Amazon and eBay. And now from startups to established brands, all are keen to have their individual platform for shopping. Today’s generation is starved for quick response and convenience while they’re shopping on a different channel, therefore, Real-time retailing came into existence which offers the thrill of instant communication and the potential for group discussion.

 

The popularity of live chat is increasing; it will grow 87% in the upcoming years and will be boosted by Artificial Intelligence (AI) to deliver a more personalized experience.

 

Why We Need a Shopping Assistant App?

 

There are various reasons why people need personal shopping assistant apps. Spending hours browsing online for a new dress is time-consuming which few people can’t effort. Shopping assistant app can help shoppers to handily compare prices and find the best deal. It not only saves time but also helps users to save money by providing tailored product recommendations to attract the attention of shoppers.  Personal shopping assistant’s mobile app development is in trend, usually, it offers a number of services to users which include:

Businesses are using AI to design a User-Centric Shopping Assistant App

 

How to Build an Intelligent Shopping Assistant App?

 

Artificial Intelligence mobile apps understand user behavior; it collects the information why a user chooses to click a certain feature. Data analysis and machine learning are the foundation of intelligent shopping assistant app and soon it will act as building blocks for high-level, human-to-machine, communication.

 

An AI-connected ecosystem will increase computer efficiency, which will allow an app to predict user behavior and create personalized user experiences. Customized personal assistance apps suggest actions, and solve challenges faced by users and allow them to achieve more with the apps. The biggest advantage of the Shopping Assistant App is the high degree of personalization that can be achievable through Machine-learning platform. If AI implements the data correctly, then e-commerce mobile app developers can build a more efficient app that can give a higher level of satisfaction to the app users.

 

The Artificial Intelligence mobile app development motivates businesses to differentiate themselves from competitors by offering customized experiences to each customer. If all mobile app developer community started using AI as a standard feature than apps will become more intelligent and can do the following things:

 

  • Study user behavior and predict user intent
  • Make smart decisions for the users
  • Provide information based on previous searches
  • Auto-reply to emails and messages
  • Automate tasks with the help of pre-defined commands

 

With the help of REST APIs, AI mobile app developers can use machine-learning algorithms for services like mapping and location. REST APIs allow developers to use existing protocols, typically HTTP, to different web services and interfaces.

 

Role of AI in Creating Shopping Assistant Apps

 

AI is a full-fledged technology, a combination of machine learning, self-learning algorithms, and deep learning. It incorporates big data and neural networks into coding. AI has shuddered the mobile app industry by increasing the personalization level in mobile apps. These apps are capable of doing the following functions:

 

  • Artificial Intelligence enabling image and voice to search in search engines conveniently.
  • It has enabled smartphone users to make shopping across the various categories easy.
  • AI integrated apps easily analyze customer purchase preferences and anticipate customers’ needs with smart recommendations.
  • AI has also influenced the logistics industry by making every movement trackable.
  • 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.
  • From packing to shipping, AI-based robots are managing all tasks which have actually increased efficiency.
  • AI integrated devices help businesses to predict the result of sales, fact-based segmentations, and process automation.
  • 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.

 

Final Words

 

Al-based User-Centric Shopping Assistant Apps are very popular nowadays and after seeing the acceptance of the crowd, businesses are also started focusing in this direction. Shopping Assistant Apps help shoppers with a customized shopping experience, a quick chat and ensure customer satisfaction by serving them with prime product information.

 

In this blog, we tried to clear the importance of shopping assistance applications and how it can be beneficial for businesses. If you are running an E-commerce business and looking for experts team which can turn your vision into reality, Consagous can be your perfect fit. We are well known for creating an e-commerce platform. Want more info? Let’s discuss.



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