Automate freight bill auditing & carrier rate contracts.
A production-focused resource for engineering teams that move freight billing from a reactive accounting function into a deterministic data control system. Built for logistics analysts, freight auditors, Python ETL developers, and transportation ops teams who own LTL/FTL audit pipelines end-to-end.
The articles here cover the full lifecycle: extracting and versioning carrier rate contracts, ingesting EDI 210/810, XML, and PDF invoices, validating line items against contracted matrices with strict decimal precision, scoring accessorial charges, routing discrepancies, and reconciling settlements against the AP ledger.
Every page is grounded in real ETL patterns — Pydantic schemas, vectorized lookups, dynamic fuel surcharge formulas, fallback routing, dead-letter queues, idempotency keys, and audit-grade observability — the controls that make a freight audit pipeline survive billing peaks without silent overpayment.
Three focused sections walk through the production stack. Jump into the area you need first.
Explore the playbook
Each section combines an overview article with deep production guides. Pick the layer you're working on — contract design, validation rules, or ingestion plumbing.
Freight Contract Architecture & Rate Mapping
The deterministic backbone: normalized contract schemas, effective-date versioning, accessorial taxonomy, and rate matrices that survive amendments and historical reconciliation.
Rule-Based Rate Validation & Accessorial Auditing
Graph-driven validation engines, weight/zone cross-checks, dynamic thresholds, and confidence-scored accessorial auditing that turns leakage into recoverable revenue.
Automated Invoice Parsing & EDI/XML Ingestion
The ingestion layer: EDI 210/810 segment parsing, namespaced XML streaming, layout-aware PDF extraction, canonical Pydantic schemas, and dead-letter queues for fault-tolerant batch workflows.