Problem
Online retailers running multi-channel storefronts — Shopify, Etsy, Amazon, eBay, TikTok Shop and more — faced fragmented supplier connections, manual product listing work, and disconnected inventory across platforms.
That's the kind of operational overhead that doesn't scale past a handful of SKUs without automation: the cost of running the store grows linearly with the catalogue.
Architecture
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Reusable service layers over per-feature integrations
Architected reusable Python backend service layers with FastAPI and Flask, so new LLMs and external AI providers could be integrated once and reused across 15+ automated workflows — product listing optimization, supplier mapping, and inventory sync among them.
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Async task queues over in-request processing
Automation workloads run behind asynchronous task queues rather than blocking a request, so long-running AI and sync jobs stay reliable at scale instead of timing out under load.
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One orchestration layer over per-marketplace logic
Led backend development for multi-channel order orchestration across WooCommerce, Etsy, Square, and AliExpress — one path through the system regardless of which storefront the order came from.
Outcome
Sellers manage listings, inventory, and orders across multiple platforms from a single dashboard, with AI-assisted supplier integration and listing optimization cutting the manual setup and operational overhead that used to scale with the catalogue.
Private / contract work — source unavailable.