OTIF blind spot diagnostic — reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. Python + Dash.
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Updated
Aug 4, 2026 - TypeScript
OTIF blind spot diagnostic — reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. Python + Dash.
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.
Lightweight, standalone Go module for robust process lifecycle management and interactive I/O.
Modern data platform for a fictional specialty food brand. Demonstrates source-to-mart pipelines, data quality testing, orchestration, and lineage for CPG data shapes.
Interactive lot-genealogy tracer that answers 'how big is our recall?' in seconds for specialty food brands.
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.
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.
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