I work where three things overlap: data hygiene, process hygiene, and business intelligence.
Most people treat those as separate problems. They aren't. A dashboard is only as honest as the records feeding it, and those records are only as clean as the process that produced them. Clean the data and skip the process, and you'll clean it again next quarter.
I'm the Principal Consultant at Lailara LLC — data hygiene and analytics for specialty food and CPG brands scaling into national retail. I find the money leaking through product data, deductions, and trade spend, and tell you exactly which field it's leaking from.
I'm not a software engineer by training. Twenty-five years of operations and incentive-fulfillment work taught me to build the tool when the thing I need doesn't exist — and to publish it so other people can use it too.
The tools below find the money: ~$380K/yr in recoverable deduction waste, $894K in three-year short-ship costs, a $1.35M deduction backlog, and a $6.7M gross-to-net gap — all traced to the field, form, or process that leaks it. 41 public tools, 32 live in your browser right now, two on PyPI. No login, no demo request, no gate.
Everything below is grouped by which of the three problems it solves.
On the numbers below: every figure comes from a modeled dataset built to realistic CPG data shapes, not from client data. The failure modes are real — they are what I spent twenty-five years handling in incentive fulfillment and operational data.
Is the data right? Audits, profilers, and validators that tell you what's actually in the file.
| Tool | What it does | Live / install |
|---|---|---|
| data-hygiene-auditor | A linter for your data — mixed formats, misused fields, placeholder floods, phantom duplicates. HTML, Excel, and PDF reports. | pip install data-hygiene-auditor · PyPI |
| datascope | Profiles every column in a spreadsheet and explains the data-quality problems in plain English. Catches mixed-type columns pandas silently coerces. | pip install datascope-dq · PyPI |
| GTIN Validator | Product data checked against GS1 standards with retailer-specific context. Branded PDF with a fix roadmap. | gtin.lailarallc.com |
| Product Data Health Audit | Five artifacts from one R + Quarto pipeline: HTML report, executive tearsheet, dashboard, workbook, Shiny calculator. | audit.lailarallc.com |
| Data Differences Tool | Compare two tabular files: rows added, removed, modified, with before/after values. | diff.lailarallc.com |
| Dimension & Weight Integrity | Catches the dim-weight defects behind freight chargebacks and compliance fines. | dimensions.lailarallc.com |
| Data Standards Cheat Sheet | One-page reference on GTIN, GDSN, item-setup, and freight-class rules. Downloadable PDF. | — |
| Internal Data Anonymizer | Column-by-column anonymization with deterministic mappings, format-preserving fakes, and reverse lookup. | — |
Will it still be right next quarter? Catch it before it ships, reconcile what actually happened, and hold the standard so the same defect doesn't come back.
| Tool | What it does | Live / install |
|---|---|---|
| EDI Preflight | Parses 850s and validates 856s against Walmart, Amazon, UNFI, KeHE, and Costco specs. | edi.lailarallc.com |
| Item Setup Form Preflight | Typed validation against codified retailer schemas. Catches new-item rejections before you submit. | preflight.lailarallc.com |
| EDI Reconciliation Tool | Content-level reconciliation across the full PO lifecycle. Every mismatch, dollar-ranked. | reconcile.lailarallc.com |
| OTIF Blind Spot | Reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. | otif.lailarallc.com |
| Retail Readiness Scorecard | 12–18 adaptive questions across eight dimensions. Downloadable PDF verdict on launch readiness. | lailarallc.com/scorecard |
| Recall Blast Radius | Lot-genealogy tracer that answers "how big is our recall?" in seconds. | recall.lailarallc.com |
| Product Master Data Model | The data model a product master should have — documented, contracted, running on Postgres + dbt. | master.lailarallc.com |
| Cinderhaven Data Platform | The platform underneath it all — source-to-mart pipelines, quality testing, orchestration, lineage. Python · Postgres · dbt · Dagster. | — |
What should we do about it? Once the data is right and stays right, these are the questions worth asking of it.
Deductions, trade spend, and the gap between invoiced and collected.
| Tool | What it does | Live / install |
|---|---|---|
| Retailer Deduction Recovery | 16,917 deductions traced through five compounding failures. ~42% win rate per disputed dollar — but two-thirds are never filed. | deductions.lailarallc.com |
| Chargeback Prediction Model | Predicts which retailer deductions escalate and which are recoverable. Python + scikit-learn. | chargeback.lailarallc.com |
| Trade Spend Leakage | Forensic detection of double-funded promos, phantom promos, and rate discrepancies. Reranks retailers by net revenue. | trade-spend.lailarallc.com |
| Contract to Cash | Traces where money leaks between invoice and cash receipt. For every dollar invoiced, 87 cents arrived. | cash.lailarallc.com |
| Channel Profitability Analysis | Five-layer cost waterfall. Contribution margin across 10 retail, distributor, and DTC channels. | channels.lailarallc.com |
| Where the Money Comes From | Which channel actually pays after all deductions — and is the capital allocation wrong? React + D3. | capital.lailarallc.com |
| Remittance Stub Parsing | Parses Walmart, Costco, UNFI, and KeHE remittance PDFs into a reconciled deduction ledger, flagging what to dispute before the window closes. | remittance.lailarallc.com |
| Trade Spend Data Diagnostic | 7-tab workbook: executive pulse, leak diagnostic, promo ROI, retailer risk, deduction ledger. | — |
Five ways to answer the same question: is growth real, or are we buying it?
| Tool | What it does | Live / install |
|---|---|---|
| SpinRate | Separates distribution gains from velocity gains. SPPD, ACV%, door counts. | spinrate.lailarallc.com |
| Void Finder | Authorized but not scanning. Every void dollarized from comparable-store median velocity and ranked into a broker work list. | voidfinder.lailarallc.com |
| DoorMath | Door counts, ACV%, TDP trends, and authorization gap analysis. | doormath.lailarallc.com |
| Decompose | Splits period-over-period sales change into households × frequency × spend per trip, reconciled to the exact delta with a Shapley allocation. | decompose.lailarallc.com |
| Trial vs. Repeat | How many triers came back — and whether penetration growth is adoption or expensive sampling. | leakybucket.lailarallc.com |
The calls that cost real money when made by reflex instead of analysis.
| Tool | What it does | Live / install |
|---|---|---|
| The Ten Decisions | The framework: ten operating decisions that cost a growing brand $1.4M–$2.3M a year. | lailarallc.com/the-ten-decisions |
| The Question Engine | The questions every specialty-food CEO asks, each answered in 30 seconds with a verdict, one chart, three numbers. | ask.lailarallc.com |
| Retail Velocity Decision Tool | Eight decisions — shelf defense, production planning, promo ROI, expansion, pricing power — on a 1.2M-row dataset. | velocity.lailarallc.com |
| The Cost of Saying Yes | First-year economics of a major retailer launch. Cash trough, break-even month, CFO-grade export. | launch-cost.lailarallc.com |
| Short Ship Cost | Four cost dimensions of short-shipping, with buffer simulation and exportable PDF. | shortships.lailarallc.com |
| Retailer Scorecard Renegotiation Simulator | Cost-to-serve model you can renegotiate against. React + Python. | retailer-scorecard.lailarallc.com |
| SKU Rationalization Framework | Five scoring dimensions, four action buckets, interactive portfolio view. | sku.lailarallc.com |
| Production Demand Forecast | S&OP planning: demand signals, capacity constraints, seasonal patterns. | forecast.lailarallc.com |
| Competitive Shelf Intelligence | Pricing, placement, and assortment tracked across retailers. | competitive.lailarallc.com |
| Monday Morning Report | Three critical Monday numbers, tiered by growth stage. Python + openpyxl. | — |
| Repo | What it does |
|---|---|
| claude-solo-dev-workflow | Templates, slash commands, and reference material for running portfolio projects solo. |
| claude-solo-dev-project-improvement-workflow | Phase-gated improvement workflow — audit, plan, code review, dependency audit, README refresh. |
Every tool above targets a failure mode I have spent twenty-five years dealing with in incentive fulfillment and operational data. If one of them describes your week, that's usually a good sign we should talk.
lailarallc.com · Selected work · LinkedIn · shawn@lailarallc.com