Content-level EDI reconciliation across the full PO lifecycle, surfacing every mismatch as a dollar-ranked exception.
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Updated
Jul 22, 2026 - Python
Content-level EDI reconciliation across the full PO lifecycle, surfacing every mismatch as a dollar-ranked exception.
The data model a specialty food product master should have — documented, contracted, and running on Postgres + dbt.
OTIF blind spot diagnostic — reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. Python + Dash.
Free web tool for specialty food brands doing EDI by hand. Parses 850 Purchase Orders and validates 856 Advance Ship Notices against retailer-specific specs. Supports Walmart, Amazon, UNFI, KeHE, and Costco.
Interactive lot-genealogy tracer that answers 'how big is our recall?' in seconds for specialty food brands.
Lightweight, standalone Go module for robust process lifecycle management and interactive I/O.
Retailer/distributor item-setup pre-flight — codified partner schemas + typed validation engine that flags new-item form rejection risk before submission
Self-contained diagnostic tool for specialty food brands evaluating a retailer launch. 12-18 adaptive questions, eight dimensions, downloadable PDF. Single HTML file.
Modern data platform for a fictional specialty food brand. Demonstrates source-to-mart pipelines, data quality testing, orchestration, and lineage for CPG data shapes.
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