Why Develop Shopping Assistant Apps Powered by Data Science?

Why Develop Shopping Assistant Apps Powered by Data Science?
Digital Marketing |   December 20, 2019 by  Alekh Verma

Convenience is one of the most crucial elements that people desire while shopping. The popular e-commerce holders like Amazon and eBay introduced the era of convenient shopping with websites and multi-brand shopping platforms. Not everyone can spend long hours in searching for a new pair of shoes or last-minute gifts. In such cases, shopping assistant apps can be a problem-solver for shoppers.

Shopping assistant apps help people to efficiently compare the prices, browse, and get the best deal based on their budget. All of this has been achieved with the great combination of Artificial Intelligence (AI) and big data through which user-centric shopping apps are created.

Today, we are living in a digital sphere where things are not just limited to one platform. All thanks to data science which made our online shopping experience much more innovative than ever before.

How Shopping Assistant App Works?

Personal shopping assistant apps are tremendously taking over the mobile app market and satisfying the specific demands of each individual. These apps can accumulate information by analyzing your online shopping pattern in terms of behavior, cart items, final purchases, search history, reviews, ratings and everything else. As a result, such apps allow you to compare the price, provide discount updates, personal suggestions, and much more without the involvement of human components.

How Artificial Intelligence Technology Benefits Shopping Assistant Apps?

With the advancement in technology, Artificial Intelligence (AI) and data science together have eliminated the process of human interaction. AI integrated apps can easily analyze the customers’ purchase preferences and deliver smart recommendations based on their particular needs.

  • Shopping History: The database system keeps track of customers’ purchasing and machine learning on the other end anticipate the shopping behaviors.
  • Price Comparison: A shopping assistant app determines the product a user is seeking and alerts the user if it is economical in other online stores.
  • Coupons: Apps automatically delivers the best coupons to the users where they are shopping at before checkout.
  • Package Tracking: This can help to keep a track of users’ shipment from any merchant and tell users about their delivery status.

Why is it Good to Develop a Shopping Assistant App?

As we can all witness, online platforms are shaping the future of retail businesses and making everything available on our fingertips. Such applications can help businesses to reach a wider audience while sitting in a single corner of the world. AI-enabled apps can be highly appealing for users as they don’t need to put more efforts in attaining relevant suggestions while shopping. Features like easy navigation, advanced search, price change notification, customer feedback, and support allow businesses to move ahead of the competition.

Being a professional mobile app development company, we can help you to develop advanced shopping assistant apps that provide personalized experience to the users. Our developers hold a proficiency to create such apps for any sector of your choice. Get in touch with us now!

About the author

Alekh Verma

A Search Engine Optimization specialist known for his bold and insightful approach to every web industry trend, Alekh Verma is a proud Founder and CEO of a successful Digital Marketing, Mobile App, and Web Development firm, eSearch Logix Technologies. His practical and inventive ideology has helped to shape the success story of his firm, which has now grown into a thriving, leading digital marketing company based in NCR, India. He brings a global perspective to the industry and has helped multitudes of businesses across the globe from all sectors create an impactful presence in the virtual world.


Tags

data science, mobile app development, mobile app development company, Shopping Assistant App


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