Shopify/Amazon Inventory Reconciler

One-sentence explanation

A tool that pulls inventory from Shopify and Amazon, compares them, and produces a clear mismatch report — a public demonstration of the reconciliation approach described in the Shopify and Amazon marketplace synchronization case study.

The problem being solved

Reconciliation logic — the part of a marketplace sync system that actually catches drift before it becomes an oversell — is rarely shared publicly, because it's usually written against one company's private data. This project aims to demonstrate the same approach against sample/demo data so the architecture and logic are inspectable without exposing anyone's real inventory.

Planned architecture

Technology stack

Python for the fetch/compare/report pipeline, with Shopify's Admin API and Amazon's SP-API as data sources, and a lightweight local database (SQLite for the demo, PostgreSQL for anything continuous) to track mismatch history between runs.

Current status

Concept — design complete, implementation not yet started. This will ship with fully synthetic demo data (fake stores, fake ASINs) so the tool is runnable and inspectable by anyone without needing real marketplace credentials. No public repository exists yet.

What I expect to learn

Building this against synthetic data instead of a live, revenue-bearing system is a genuinely different design problem — it forces the mismatch-detection logic to be legible and well-documented on its own, rather than implicitly understood because it's embedded in a larger system.

Planned improvements

• Additional channel adapters beyond Shopify/Amazon
• Continuous/scheduled mode with mismatch history tracking
• A simple web report view
• Configurable tolerance windows for normal sync latency