Files
ai-business-ideas/ideas/ai-first-ebay-cataloging-assistant/README.md
T

1.3 KiB

High-Level Design / Dependencies

  • Architecture / system design overview:

    • Responsive web app (PWA) — mobile-first capture + full-featured desktop review.
    • Backend API handling photo processing, pricing engine, and eBay integration.
    • Core design principle: Maximize deterministic systems. As much functionality as possible (pricing lookups, shipping recommendations, template application, duplicate detection, inventory reconciliation, eBay API interactions) must be rule-based and deterministic. AI is deliberately constrained to narrow, well-scoped tasks only (primarily vision-based identification and photo quality assessment) to minimize hallucinations and incorrect outputs.
  • External services, data sources, APIs:

    • eBay OAuth + Sell APIs (Inventory, Fulfillment) for direct publishing and listing reconciliation.
    • eBay Browse API for sold and active listing data.
    • Vision models (GPT-4o / Claude 3.5 / Gemini) used only for identification and photo quality assessment, with strict "do not guess" rules.
    • Pricing data sources (eBay sold data primary; Keepa/Google Shopping as fallback).
  • Key technical dependencies:

    • Secure per-user token storage and refresh handling.
    • Job queue for background processing of bulk uploads.
    • Structured templates and rules engine to constrain AI output.