Bad data costs more than the software you bought to fix it.

I find the money leaking through your data — and tell you exactly which field it’s leaking from. Chargebacks traced to their cause, deductions ranked by what’s recoverable, launches modeled before they eat your cash. You get a remediation plan your team executes without me.

Then I fix the data and the process that let it leak — so the numbers you run the business on are numbers you can trust.

Start the free Deduction ScanWhat problem are you solving? →
  • 25 years in operational data
  • Fixed fees — no hourly billing
  • Written intake — no call
  • NDA, private upload, destruction certificate

Start small. Start free.

Not ready for a full engagement? Two low-risk ways in. The scan finds out what your retailers took and what’s recoverable — no recovery, no fee. The Snapshot puts your three most expensive data problems in dollars, in seven business days, and credits in full toward an audit.

Start the free Deduction ScanData Health Snapshot — $950
Shawn Phillips, Principal Consultant, Lailara LLC

Twenty-five years in operational data — twenty of them running operations and architecting client solutions at a bootstrapped incentive-fulfillment company, where the job was making sure the data flowing through was already right before it hit the systems that depended on it. The methods on this site are how I’ve always worked. Now they’re available to your brand.

The Problems I Take Off Your Desk

Chargebacks I can't traceFines arrive coded and cryptic; nobody can say which field caused them.Tools, worked example, and prices →Deductions I can't dispute in timeTwo-thirds of the disputable ones are never filed.Tools, worked example, and prices →Trade spend I can't account forPromos funded twice, deducted but never run, billed above rate.Tools, worked example, and prices →A retail launch that could eat my cashThe deal projects revenue; nobody has modeled the cash trough.Tools, worked example, and prices →My fill rate and the retailer's scorecard disagreeYou say 95% complete; the retailer scores you at 86%.Tools, worked example, and prices →On the shelf but not sellingAuthorized stores that never scan; items wide but dead.Tools, worked example, and prices →Too many SKUs, unclear which earnThe revenue leader is rarely the contribution leader.Tools, worked example, and prices →Data problems that keep coming backAn audit is a snapshot; defects are a flow.Tools, worked example, and prices →A compliance deadline is comingGS1 Sunrise 2027 and FSMA 204 — your product data is the part that bites.Tools, worked example, and prices →

Behind every engagement: audit pipelines in Python and R, decision tools your team actually uses, and validation engineering that runs without me. The capability list is on the Services page. The point is what it does to your P&L.

The Quiet Cost

Specialty food brands routinely commit 15–20% of revenue to trade and cannot say which dollars made money — and even a leaner book (Cinderhaven runs 11.0% of scan revenue all-in) leaks without the reconciliation. Chargebacks run 5–15% of gross sales while net margins sit at 3–5%. Most of that loss traces to twelve product master fields that disagree across three systems — and nobody has audited them.

These problems don’t announce themselves. They compound in reports that are slightly off, reconciliations that don’t tie, and submissions that get kicked back. By the time someone notices, nine months of automatic deductions have already hit the P&L.

They stay quiet for a reason: the reports you’d catch them in are built on the same bad data that’s causing them. Business intelligence inherits the hygiene of what feeds it.

I work upstream — on the data layer between your raw records and the systems that depend on them. The goal is simple: what flows through is already right.

Two numbers, one truth

Your team says you ship 95% complete. Walmart scores you at 86%. Both numbers came out of real data. Only one of them is writing chargebacks against your remittances every week.

That gap is what unclean data and loose process look like on a P&L. Closing it means reconciling the two systems, finding which orders the retailer scorecard counts differently, and fixing the process that creates the discrepancy in the first place — not arguing about whose number is right.

Fulfillment & OTIF Diagnostic →

How I Work

01

Written Intake

A short form — no call. You describe the data problem; I tell you whether it's a fit and what a scoped engagement looks like, in writing.

02

Frame the Problem

We define the scope together — what data, what systems, what question needs answering. I send a written proposal with the deliverable, the timeline, and a fixed fee. No ambiguity about what you're getting.

03

Deliver

I do the work and hand you the deliverable — a written report, an interactive tool, a triage workbook, whatever the scope calls for. If the data needs ongoing attention, we talk about a retainer. If not, you have everything you need.

Concretely: a brand sends me twelve months of remittances; three weeks later they have a ranked list of every disputable deduction, the evidence to file each one, and the dollar value of what’s recoverable. That’s the shape of every engagement — your data in, a decision-ready deliverable out.

Not ready for a full engagement?

The Data Health Snapshotis the seven-business-day version: send one dataset, get written findings with the annualized cost and a top-10 fix list. Fixed fee — $950, credited toward a full audit within 60 days.

Buy the Snapshot — $950What you get

No call, no obligation.

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

Start the free Deduction ScanGet in Touch