AI Customer Service Platform Launch
Budget: ₹750 – ₹1,250 INR
I’m ready to bring a new AI-powered customer service tool to market and need a developer who can transform the concept into a polished, revenue-generating product. The core function is clear: fully automate customer support while sounding genuinely helpful and human.
Scope
• Omnichannel coverage is essential—email, live chat, and voice calls must all run off the same intelligence layer so customers experience seamless, consistent service.
• Response logic should allow moderate customization: I want to edit tone, insert brand phrases, and map key FAQ pairs without rebuilding the entire model.
• The system should continually learn from resolved tickets and feed improvements back into future interactions.
• A lightweight admin dashboard is required for analytics (resolution time, CSAT, deflection rate) and for tweaking reply templates on the fly.
• Final deliverable must be packaged for commercial launch with user management, subscription or pay-per-use hooks, and clear deployment documentation (Docker or similar is fine).
Acceptance criteria
1. Email, chat, and voice channels live-tested and handling at least 100 concurrent sessions with <2 s average response time.
2. Customization interface demonstrated via screen-share: I update a template, the bot adopts the change instantly.
3. Metrics dashboard displays real-time data; CSV export works.
4. Deployment guide lets me spin up a fresh instance on a clean VPS in under 30 minutes.
If you have experience blending NLP models (OpenAI, Google Dialogflow, Rasa, etc.) with robust back-end engineering, let’s build something that earns while it serves.
Scope
• Omnichannel coverage is essential—email, live chat, and voice calls must all run off the same intelligence layer so customers experience seamless, consistent service.
• Response logic should allow moderate customization: I want to edit tone, insert brand phrases, and map key FAQ pairs without rebuilding the entire model.
• The system should continually learn from resolved tickets and feed improvements back into future interactions.
• A lightweight admin dashboard is required for analytics (resolution time, CSAT, deflection rate) and for tweaking reply templates on the fly.
• Final deliverable must be packaged for commercial launch with user management, subscription or pay-per-use hooks, and clear deployment documentation (Docker or similar is fine).
Acceptance criteria
1. Email, chat, and voice channels live-tested and handling at least 100 concurrent sessions with <2 s average response time.
2. Customization interface demonstrated via screen-share: I update a template, the bot adopts the change instantly.
3. Metrics dashboard displays real-time data; CSV export works.
4. Deployment guide lets me spin up a fresh instance on a clean VPS in under 30 minutes.
If you have experience blending NLP models (OpenAI, Google Dialogflow, Rasa, etc.) with robust back-end engineering, let’s build something that earns while it serves.