Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of AI-Powered Customer Engagement Platform for Health & Fitness Industry
  1. case
  2. Development of AI-Powered Customer Engagement Platform for Health & Fitness Industry

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of AI-Powered Customer Engagement Platform for Health & Fitness Industry

unosquare.com
Health & Fitness
Consumer products & services
Information technology

Current Challenges in User Engagement

Existing platform suffers from low user retention (35% monthly churn), inaccurate workout tracking (20% error rate), and lack of personalized content delivery, resulting in declining market share in competitive fitness tech sector

About the Client

Digital health platform provider offering fitness tracking and wellness solutions

Strategic Development Goals

  • Increase user retention by 40% within 6 months
  • Improve tracking accuracy to 95%+
  • Implement AI-driven personalization engine
  • Expand platform scalability to support 1M+ concurrent users

Core System Requirements

  • Real-time biometric data integration
  • AI-powered workout recommendation engine
  • Gamified achievement system
  • Cross-platform synchronization
  • Social fitness challenges module

Technology Stack Preferences

React Native
TensorFlow Lite
AWS Amplify
GraphQL

Third-Party Integrations

  • Wearable device APIs (Fitbit/Apple Health)
  • Payment gateways
  • Google Fit

System Quality Attributes

  • 99.9% uptime SLA
  • Sub-200ms response time
  • HIPAA compliance
  • Auto-scaling architecture

Projected Business Outcomes

Anticipated 35% increase in user lifetime value, 20% market share growth in fitness tech segment, and 50% reduction in customer support inquiries related to tracking errors through implementation of intelligent self-correcting algorithms

More from this Company

Development of an AI-Powered Customer Engagement Platform for a Retail Chain
Development of an AI-Powered Customer Engagement Platform for a Global Retail Chain
Modernization of Retail E-Commerce Platform
Digital Transformation Platform for Multi-Industry Operations
Development of Scalable E-commerce Platform with Integrated Inventory Management