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Enhanced Cross-Selling: AI-Powered Shopping App

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Overview

Boost sales with our cutting-edge eCommerce app! ML-based recommendations, Blockchain payments & scalable architecture drive increased sales - upgrade now!

At A Glance

industry
Industry
Retail & E-commerce
region
Region
USA
duration
Duration
8 Weeks

Technical Stack

Node.js
Flutter
MySQL
AWS
Kubernetes
docker
Blockchain

Client Profile

The client is a leading organic grocery brand based in San Francisco USA who delivers fresh produce every week.

Challenge

  • Client had a legacy eCommerce store for organic groceries and revenue was pretty stable for a long time. As app was created before decade client wanted to update UI/UX as per latest trends and wanted to increase cross selling of products
  • Data migration from legacy app with smooth transition to avoid any impact to existing user accounts and data
Data Science & ML-powered eCommerce app interface: Sleek design, categories, search bar & personalized recommendations for smart online shopping

Solution

  • Redesigned UI/UX based on best practices and latest industry standard to increase session duration for user
  • Redefined architecture using microservice based architecture for scalability
  • Upgraded technology stack for mobile app to Flutter and Web to ReactJs and NodeJs
  • Updated recommendation product logic with ML based algorithm to pitch right product for cross selling
  • Integration of Blockchain based payment gateway for easy purchase using cryptocurrencies
  • Migrating on-premise deployment to cloud based deployment using Kubernetes and Docker for advantages like auto scaling, speed etc.

Key Benefits

  • Increased in sales by 20% in one quarter after launch of new app
  • Increased in average user session duration by 40%

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