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vendorrebate/README.md

Vendor Rebate & Trade Promotion Reconciliation

Vendor Rebate & Trade Promotion Reconciliation

The practitioner's playbook for turning negotiated trade terms into precise, auditable financial outcomes — at scale.

🌐 Visit the site → www.vendorrebate.org


Vendor rebate and trade promotion reconciliation sits at the seam between commercial negotiation and financial execution. Every promotion agreement, EDI invoice, POS scan, and distributor sell-through report is a moving part that has to be reduced to a single, defensible number per period — one that finance teams can stand behind, vendors can verify, and operations can act on.

vendorrebate.org is a deep, code-first reference for the engineers and finance teams who build and run that machinery. It is written for real architectural decisions, not vendor marketing: deterministic pipelines, decimal-exact accrual math, deterministic rule evaluation, and audit trails that survive an external review. Every guide ships with runnable Python and JSON patterns you can lift straight into a production reconciliation pipeline.

What it covers

The material is organised into four reinforcing topic areas, each a complete reference that also links to the others the way a real system does:

  • Core Architecture & Promotion Mapping — the canonical data model, idempotent pipelines, agreement schema design, eligibility rule evaluation, payout modelling, and fallback routing that map a contract onto a transaction.
  • Data Ingestion & Normalization Pipelines — reconciliation-grade ingestion for POS, EDI (810/852/844), ERP and distributor feeds: parsing, field mapping, streaming and change-data-capture, and async batch processing.
  • Claim Validation & Rule Engine Configuration — deterministic rule engines for SKU mapping, date-window alignment, volume thresholds, confidence scoring, and duplicate-claim detection.
  • Settlement, Deduction & Financial Close — deduction and short-pay routing, general-ledger accrual posting, month-end close sequencing, payment matching, and reconciliation reporting.

Who it's for

  • Python ETL developers who own the pipeline and need runnable, idempotent, decimal-safe patterns.
  • Trade finance analysts who have to defend an accrual to the cent and reconstruct how it was earned.
  • Vendor managers who answer for a contested claim or a short-pay dispute.
  • Retail / CPG operations teams who run the day-to-day reconciliation cycle.

What makes it different

  • Decimal-exact money. Every monetary calculation uses decimal.Decimal with an explicit context and rounding — never floating point — so figures are reproducible to the cent and stand up to IFRS 15 / ASC 606 treatment.
  • Deterministic, idempotent pipelines. Content-hashed records and idempotent upserts mean a replayed batch overwrites cleanly instead of double-posting a liability.
  • Rule evaluation as a graph. Promotions map to transactions through a directed acyclic graph of pure predicates with explicit precedence — reviewable, testable, and free of hidden order.
  • Audit by construction. Write-once accruals, immutable hash-chained logs, and cryptographic signing make every posting reconstructable and tamper-evident.
  • Hand-authored diagrams. Each guide carries an original, accessible, theme-aware SVG that explains the hardest concept on the page — no stock imagery.

Built with

A fast, dependency-light Eleventy static site, deployed on Cloudflare Pages. Structured data (Article, BreadcrumbList, HowTo, FAQ) ships on every page, math renders with KaTeX, and the whole site is tuned for accessibility and mobile performance.

Explore

Start at www.vendorrebate.org and follow the in-depth guides, or jump straight into a topic area above. Each page ends with related guides and an up-link to its parent, so you can read the whole discipline one or two clicks at a time.

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  1. vendorrebate vendorrebate Public

    Practitioner playbook for vendor rebate & trade promotion reconciliation: deterministic pipelines, decimal-exact accruals, claim validation, deduction routing, and financial close.

    JavaScript