Case Study

AI Support & Recommendation Suite

Delivered chatbot automation and recommendation intelligence to improve support and retention.

Challenge

The product team was handling high support volume manually and lacked personalization to guide users toward relevant actions and products.

Solution

We built a domain-tuned virtual assistant for common user flows and launched a recommendation service based on behavioral signals. We also implemented a feedback loop for model refinement.

Outcomes

  • Reduced repetitive support load through automation
  • Higher relevance in in-app recommendations
  • Improved user journey clarity and engagement

Technology Stack

PythonFastAPIVector DBCloud Deployment

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