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Brainic

Project type: E-commerce AI assistant

Client: SwiftShop

SwiftShop: Enhanced Customer Experience with AutoRAG

AutoRAG rollout for e-commerce support that reduced response time and wrong-part returns.

#RAG#E-commerce#Cloudflare#Support automation

Key outcomes

  • 62% lower first response time for support interactions
  • 18% lower wrong-part return rate through better product guidance
  • 48% of tickets auto-resolved with a low monthly operating cost
Conceptual interface with synthetic data, generated from the documented feature set; not a screenshot of the live product.

Context

SwiftShop support teams handled complex compatibility questions across a large auto-parts catalog.
Slow lookup and fragmented product knowledge increased ticket time and wrong-part orders.

Solution

  • Rolled out an AutoRAG knowledge base connected to existing documentation and product content.
  • Integrated semantic retrieval and question-answering into customer-facing and support workflows.
  • Added observability for top queries, deflection rates and operational performance.

Results

  • 62% reduction in first response time for support interactions.
  • 18% reduction in wrong-part return rate.
  • 48% of tickets resolved automatically at low monthly operating cost.
Conceptual evidence-review screen with synthetic data; not a screenshot of the live product.
Conceptual operations screen with synthetic data and documented metrics; not a screenshot of the live product.
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