Weekly Excel report template for specialty food founders — three critical Monday numbers, tiered by growth stage. Python + openpyxl.
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Jun 3, 2026 - Python
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specialty-food
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Retailer/distributor item-setup pre-flight — codified partner schemas + typed validation engine that flags new-item form rejection risk before submission
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Jun 8, 2026 - Python
Revenue lifecycle analysis tracing where money leaks between invoice and cash receipt. For every dollar invoiced, 83 cents arrived. React.
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Jun 14, 2026 - Python
Forensic trade spend analysis that detects leakage — double-funded promos, phantom promos, rate discrepancies — and reranks retailers by net revenue. Python + Dash.
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Jun 9, 2026 - Python
Interactive first-year economics model for a major retailer launch. Cash trough, break-even month, CFO-grade Excel export. React + Python.
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Jun 6, 2026 - Python
Channel-by-channel profitability analysis through a five-layer cost waterfall. Contribution margins across 10 retail, distributor, and DTC channels. React + Python.
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Jun 14, 2026 - Python
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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Jun 8, 2026 - JavaScript
The Ten Decisions framework — ten operating decisions that cost a growing specialty food brand 1ドル.4M–3ドル.1M/year when made by reflex instead of analysis.
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Jun 14, 2026 - SCSS
Interactive capital allocation analysis — which channel actually pays after all deductions, and is the capital allocation wrong? React + D3.
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Jun 14, 2026 - Python
Trade spend diagnostic workbook for a specialty food brand. 7-tab Excel with executive pulse, leak diagnostic, promo ROI, retailer risk, and deduction ledger. Built on the Cinderhaven Data Platform (Postgres). Python + openpyxl.
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Jun 14, 2026 - Python
Competitive shelf intelligence dashboard — tracks pricing, placement, and assortment across retailers for a specialty food brand. Python + Dash.
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Jun 6, 2026 - Python
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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Jun 17, 2026 - Python
Dimension and weight validation for product data — catches the dim-weight defects behind freight chargebacks and compliance fines. Python.
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Jun 14, 2026 - TypeScript
Multi-dimensional SKU scoring and visualization for specialty food brands. Five dimensions, four action buckets, interactive portfolio view. Python + Dash.
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Jun 14, 2026 - Python
OTIF blind spot diagnostic — reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. Python + Dash.
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Jun 14, 2026 - TypeScript
Interactive analysis tool that quantifies the full cost of short-shipping orders for a specialty food brand. Eight cost dimensions, adjustable parameters, buffer simulation, and exportable PDF. React + Python.
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Jun 14, 2026 - JavaScript
Interactive cost-to-serve model and renegotiation simulator for specialty food brands. React + Python.
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Jun 4, 2026 - TypeScript
Production demand forecast and S&OP planning tool for specialty food brands. Demand signals, capacity constraints, seasonal patterns. Python + Dash.
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Jun 6, 2026 - Python
Chargeback prediction model for specialty food brands — identifies which retailer deductions are likely to escalate and which are recoverable. Python + scikit-learn.
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Jun 14, 2026 - Python
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