Portfolio

Engagement case studies, free tools, open-source libraries, and the internal tooling that powers the practice. Different problems, different tools — the common thread is data that hasn’t been cleaned, validated, or interpreted yet.

Engagements

Worked examples on synthetic data. The methodology, deliverables, and dollar figures are real — the company is invented so the work can be shown in full.

Product Data Health Audit

Every product record traced against GS1 standards, every downstream failure tracked to the field that caused it, annualized cost in dollars.

Trade Spend & Deduction Recovery

Where the waste is, which deductions are disputable, what's recoverable, and a prioritized action plan.

Fulfillment & OTIF Diagnostic

Reconciles internal fulfillment metrics against retailer scorecards, quantifies the gap, attributes root causes.

Channel Profitability & Capital Allocation

Which channels earn after all costs, where revenue-to-cash leakage concentrates, whether capital flows to the right shelf. Retailer-level cost-to-serve scoring with renegotiation simulation.

SKU Portfolio Audit

A scored kill list with quantified savings, a fix-or-kill action plan with one lever per SKU, methodology to re-run quarterly.

Retail Readiness & Launch

Readiness across eight dimensions for a specific retailer launch. Cash-flow modeling, GTIN validation, EDI preflight, gap-closing action plan.

Trade Promotion Leakage Audit

Forensic match of promo plan to deductions to settlements. Double-funded promos, phantom promos, rate discrepancies — found, priced, and prevented.

Production Demand Forecast & S&OP

Demand signals, capacity constraints, and seasonality in one model. What the next launch does to existing commitments, before you accept the PO.

Validation Pipeline Build

The audit finds the problems once; the pipeline stops them forever. Automated validation, item-setup preflight, exception protocols your team owns.

The Blast Radius — Recall Traceability

When a shared-ingredient lot touches multiple production runs, a recall isn’t one batch — it’s every batch that lot ever entered. Scenario B expands a one-day recall into 23 affected lots, 14 SKUs, six retailers, and 5,785 cases in channel: $52K–$81K in retrieval before legal or brand cost. The variable that sets the blast radius isn’t ingredient risk — it’s whether the lot genealogy exists when the call comes in.

Door Math — Distribution Penetration Tracker

Tracks which stores are actually carrying a brand’s products versus which were authorized — the gap where revenue dies. Built on Cinderhaven synthetic data (50 SKUs, 6 retailers, 640 doors). Four views: door count with authorization-to-scan gap analysis, ACV% and TDP trend lines, exception drill-down, and a printable buyer-meeting scorecard.






Thirty minutes. No obligation.

Tell me about the data problem. I’ll tell you where the impact is hiding.

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