Product Data Readiness Audit

Cinderhaven Provisions · A portfolio piece

A complete product data health audit for a fictional $34 million specialty food company, demonstrating how dirty product data costs a growing brand $92,617 a year in retailer chargebacks traced to product-data defects — with another $52,000 in fulfillment penalties concentrated in the same SKUs — and how 15 hours of data entry fixes the data side entirely. The project produces an interactive HTML report, a two-page executive tearsheet, an operational dashboard, an Excel workbook with triage list and broker intake checklist, and a standalone Data Debt Calculator that any specialty food brand can use to estimate their own exposure. Built with R, Quarto, and Postgres. One command reproduces everything.

The regulatory window is open now. Walmart and Kroger began enforcing traceability requirements in 2025, ahead of federal deadlines. GS1 Sunrise 2027 is confirmed with no extension. Brands that audit their product data now fix it at normal rates. Those that wait pay emergency premiums—or lose shelf space.

The audit

Audit report → R · Quarto · ggplot2 · Postgres Monday Morning Dashboard → R · Quarto · ggplot2 · Postgres Executive tearsheet → R · Quarto · LaTeX · Postgres Data Debt Calculator → R · Shiny · Fly.io

Companion artifacts

Excel workbook → R · openxlsx2 · Postgres GS1 Sunrise / FSMA 204 timeline → Quarto · R · LaTeX Product Data Health Scorecard → Quarto · R · LaTeX