Audit-ready data pipelines for PO/invoice matching, stock synchronization, and supplier-data normalization — explained with runnable Python, architecture diagrams, and decision tables.

🌐 Read it live: www.supplychaininventory.org

Supply chain reconciliation is a deterministic state-matching problem, not a retrospective reporting exercise. When purchase orders, shipments, goods receipts, and supplier invoices diverge, financial leakage compounds fast. This is an engineering reference that documents the patterns needed to keep that divergence inside a tight, observable, auditable envelope — the same patterns that turn a backlog of "investigate later" exceptions into a self-clearing pipeline.

Every page is written for people who ship the code: senior-level explanations paired with typed Python (pandas, rapidfuzz, pydantic, xmltodict), SQL, hand-drawn architecture diagrams, and configuration tables with recommended ranges — not marketing prose.

• Core Architecture & Data Mapping — layered, idempotent pipeline design, canonical mapping and type coercion, EDI 810/850 schema mapping, multi-currency and timezone normalization, data-security boundaries, monitoring and alerting, and SOX-ready audit trails.
• Ingestion & Parsing Workflows — parsing CSV, Excel, XML, and EDI X12 feeds with deterministic schema enforcement, async batch processing, backpressure and rate limiting, and Pydantic validation.
• Matching & Reconciliation Algorithms — exact, fuzzy, tolerance-window, and multi-SKU matching; choosing string metrics; blocking strategies for high-volume feeds; and performance optimization.
• Exception Handling & Discrepancy Resolution — exception-queue design and triage, dead-letter queues and retry orchestration, root-cause classification, and posting approved variance write-backs to the general ledger.

Supply chain analysts, logistics engineers, Python ETL developers, and procurement operations teams who need scalable batch orchestration without sacrificing traceability.

• Runnable, typed Python — every code sample uses typed signatures, logging, and decimal-safe money handling you can adapt directly.
• Architecture you can see — original inline diagrams for pipelines, state machines, and decision flows.
• Calibration tables — tolerance windows, similarity floors, batch sizes, retry caps, and alert thresholds with recommended ranges.
• Deep interlinking — each topic connects to its neighbors, so you can follow a discrepancy from ingestion through matching to write-back.
• Fast and accessible — a static, mobile-first progressive web app with structured data on every page.

Start at the homepage and follow the guides that match your pipeline stage:

👉 www.supplychaininventory.org

A static site generated with Eleventy. Content lives in content/, templates and assets in src/.

npm install
npm run build     # generate the static site into _site/
npm run serve     # local dev server with live reload

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