Product Data Readiness Audit

Cinderhaven Provisions · A portfolio piece

$92,617 a year in retailer chargebacks traced to product-data defects
15 hours of data entry fixes the data side entirely
$19.6M in revenue rides on SKUs that fail today's retailer and GS1 checks

A complete product data health audit for a fictional specialty food brand — showing what dirty product data already costs, and how little it takes to fix. One R + Quarto pipeline produces every artifact below; another $52,097 a year in fulfillment penalties lands on the same defective SKUs.

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

Short on time? Start with the two-page executive tearsheet — three numbers and the turnaround plan.

Executive tearsheet →Start here 2-page PDF · R · Quarto · LaTeX Audit report → R · Quarto · ggplot2 · Postgres Monday Morning Dashboard → R · Quarto · ggplot2 · 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