Judoka Technologies
Case Study

AI Customer Support Agent

D2C E-Commerce Brand — Multi-turn conversational AI agent that resolves 78% of customer queries autonomously, cutting support costs by 65%.

AI Agents
78% autonomous query resolution
65% reduction in support costs
24/7 availability with < 3s response time
NPS score increased by 22 points

The Problem

Support was drowning in repetitive queries — order status, returns, and product questions consumed 70% of agent time, driving up headcount costs while complex issues that genuinely needed a human sat in the queue.

Our Solution

Built a fully autonomous customer support agent using LangChain and GPT-4 with tool use, memory, and escalation logic. The agent handles order tracking, returns, product queries, and complaints without human intervention.

Stack

Technologies Used

PythonLangChainOpenAI GPT-4FastAPIRedisPostgreSQL

Outcome

What We Delivered

Within eight weeks of launch the agent was resolving the majority of inbound queries autonomously, freeing the human team to focus on complex escalations — while satisfaction scores climbed instead of dropping.

Key Results

  • 78% autonomous query resolution
  • 65% reduction in support costs
  • 24/7 availability with < 3s response time
  • NPS score increased by 22 points

Ready to achieve results like these?

Tell us about your challenge and we will design a solution around your specific requirements.