Multi-Agent Customer Support for Global E-commerce

Retail & E-commerce — With more than 10M users a month in 15 countries, human-only customer support could not keep up Results: Time to Respond <30s, Share…

Client: Worldwide E-commerce Platform. Sector: Retail & E-commerce.

The challenge: With more than 10M users a month in 15 countries, human-only customer support could not keep up

What we built: We built a CrewAI-based multi-agent system that handles first-line support, routes escalations and analyses customer sentiment

Tech used: CrewAI, GPT-4, Pinecone, Redis.

  • Time to Respond: <30s
  • Share Automated: 90%
  • Savings: $2.4M/year
  • Customer Satisfaction: 4.8/5