AI-Driven SaaS Customer Support Platform
Budget: $25 – $50 USD
Project: AI Powered Customer Support Platform (SaaS Build)
We are building a next generation AI driven customer support platform designed for fast growing SaaS companies to automate 60–70% of customer queries while keeping a human like conversational experience in English.
Tech Stack: Java (Spring Boot), React, REST APIs, PostgreSQL
Industry: SaaS / AI Customer Experience / Enterprise Software
What You’ll Build:
A React based dashboard for support agents to monitor and intervene in AI conversations in real time
Java Spring Boot backend powering conversation routing, user context storage, and ticket generation
AI integration layer (LLM API based) for automated English language responses with tone control and escalation logic
Analytics module showing response quality, deflection rate, and customer satisfaction signals
Key Challenge (Important):
Design a system that can maintain natural English conversations across multi turn support chats while dynamically deciding when to escalate to a human without breaking context or tone consistency.
Requirements:
Strong experience in Java + React full stack development
Comfortable working with AI/LLM APIs (OpenAI or similar)
Ability to design scalable backend systems
Excellent written English communication (must be able to write clean, user facing responses and documentation)
Experience with SaaS or real time systems is a plus
Bonus Points:
Built chatbot, agent assistant, or AI workflow tools before
Knowledge of prompt engineering or conversation design
Experience with event driven architecture
We are building a next generation AI driven customer support platform designed for fast growing SaaS companies to automate 60–70% of customer queries while keeping a human like conversational experience in English.
Tech Stack: Java (Spring Boot), React, REST APIs, PostgreSQL
Industry: SaaS / AI Customer Experience / Enterprise Software
What You’ll Build:
A React based dashboard for support agents to monitor and intervene in AI conversations in real time
Java Spring Boot backend powering conversation routing, user context storage, and ticket generation
AI integration layer (LLM API based) for automated English language responses with tone control and escalation logic
Analytics module showing response quality, deflection rate, and customer satisfaction signals
Key Challenge (Important):
Design a system that can maintain natural English conversations across multi turn support chats while dynamically deciding when to escalate to a human without breaking context or tone consistency.
Requirements:
Strong experience in Java + React full stack development
Comfortable working with AI/LLM APIs (OpenAI or similar)
Ability to design scalable backend systems
Excellent written English communication (must be able to write clean, user facing responses and documentation)
Experience with SaaS or real time systems is a plus
Bonus Points:
Built chatbot, agent assistant, or AI workflow tools before
Knowledge of prompt engineering or conversation design
Experience with event driven architecture