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Custom E-Commerce Mobile App Development with AI Recommendations

Overview

A chatbot solution trained with the medical dataset to provide accurate diagnosis according to the symptoms of the users and implemented in a mobile app.

At A Glance

Industry
Industry
Retail & E-commerce
Region
Region
USA
Duration
Duration
8 Weeks

Technical Stack

Node.jsNode.js
FlutterFlutter
MySQLMySQL
AWSAWS
KubernetesKubernetes
dockerdocker
BlockchainBlockchain

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
Smart eCommerce app: Maximize sales with data science & ML. Simplify online shopping, boost cross-selling

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%

Develop Your Idea

Let’s transform your idea into a real product with scalable solutions.