When the TrainerChat AI team approached LaunchBridge, they had an ambitious vision: build an AI-powered sales automation platform that could handle the unique challenges of fitness coaching conversations. They needed more than a chatbot - they needed a sales conversion machine that could understand complex objections, match prospects with relevant success stories, and book calls at scale.
The Challenge
Our client, a leading fitness influencer with a network of 5,000+ coaches, approached us with an ambitious vision: create an AI-powered platform that could revolutionize how fitness influencers handle social media lead generation.
Client Requirements:
- Build a scalable AI system capable of handling 500-5,000 messages per second
- Integrate seamlessly with existing CRM systems
- Maintain conversation quality while achieving 90%+ automation
- Deliver personalized responses that sound authentically human
Technical Challenges:
- Preventing duplicate responses in a distributed system
- Managing conflict between native automations and CRM webhooks
- Achieving <2 second response times at scale
- Building a knowledge base system with vector similarity search
- Implementing real-time learning from coach behavior
Solution
We architected and built a sophisticated event-driven microservices
platform using a 15-function Lambda architecture orchestrated by AWS
Step Functions.
Backend Infrastructure:
- 15 AWS Lambda functions for distributed processing
- AWS Step Functions for workflow orchestration
- Supabase (PostgreSQL with pgvector) for data persistence
- Redis for high-speed caching and deduplication
- AWS Bedrock
Frontend Development:
- Vue.js
- Real-time updates via Supabase subscriptions
- Progressive disclosure UI adapting to user expertise
- Mobile-responsive design for on-the-go management
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