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2025E-commerce / Retail
Agentic Commerce Platform
The production subsystem where every AI operational gap now diagnosed for clients was first encountered
What it is
A working AI platform for conversational product discovery, comparison, and purchase. MCP protocol integration so AI assistants can access it. Running on AWS production infrastructure.
What building it revealed
Building this platform is where every operational gap now diagnosed for clients first surfaced:
- Monetization gap: Per-request AI costs with no metering layer to attribute them. Usage tracking had to be built from scratch.
- Margin visibility: No way to know which product queries cost more to serve than others until we instrumented cost attribution.
- Retrieval quality: Product search that worked on 100 items degraded on a full catalog. Chunking strategy, embedding model selection, and hybrid search all needed iteration.
- Security surface: Conversational commerce means user input goes directly to AI — prompt injection defense, output filtering, and PII handling were non-negotiable.
These are the exact problems mid-market SaaS companies face after shipping AI features. Learned by building, not consulting.
Under the hood
- MCP protocol integration for AI assistant access
- Real-time inventory and pricing sync
- Conversational product discovery and comparison
- Secure transaction handling
- AWS: ECS/Fargate, API Gateway, DynamoDB, EventBridge, CloudWatch