THE LINE REVIEW OPTIMIZATION SERVICE

Know what the buyer will push back on before you walk in.

Grant isn’t a general AI assistant. He’s proprietary intelligence grounded in how your retailer’s buyer actually thinks. Upload a deck, get a read grounded in the room. Every review compounds, so the platform gets sharper every time your team uses it.

Proprietary intelligence, not general AI. Enterprise API — your data never trains a model.

BUILT FOR PITCHES INTO
COSTCOWALMARTAUTOZONEO'REILLYADVANCE
THE ENTRY POINT, BUYER’S READ

Drop your last deck. See what the buyer would say.

Upload your last deck. Pick a retailer. In 60 seconds Grant tells you what’s holding it back and what the buyer will push back on. Your first read is free. Sign up and he remembers it. Your next brief opens with everything he flagged today.

Free Buyer’s Read →
EVERY LINE REVIEW YOUR COMPANY HAS EVER RUN

Grant doesn’t start from scratch. Ever.

Every deck you upload, every retailer read, every revision: indexed, remembered, and available to every rep on your team. The pitch that won the shelf. The one that didn’t. Grant has read all of them. Your new rep hasn’t. With Grant, it doesn’t matter.

This is your compounding intelligence platform. Not a folder on someone’s laptop. Not institutional knowledge that walks out the door. A living record of every line review your company has ever run, getting sharper with every upload. Your intelligence is yours alone. Never shared, never used to train models, and Anthropic cannot access or learn from it.

MANAGED SERVICE

This isn’t software you buy and figure out. It’s a service we run for you.

Auto SKUS is a Managed Service Provider purpose-built for manufacturer line reviews. You get the platform and the ongoing service engagement in one.

That means Grant’s intelligence compounds over time because someone is accountable for it compounding, not just a tool sitting idle between review cycles.

THE PLATFORM

Buyer's Read, Margin Math, and the LRO command center, the tools that run the intelligence layer. Included in every engagement.

THE INTELLIGENCE

Curated retailer profiles for your five core chains, plus compounding workspace intelligence that builds every time you upload a deck.

THE REP AGENCY LAYER

Rep agency services are an optional add-on to the MSP engagement. When you choose to add them and sign a SAR agreement, we're accountable alongside you.

THE CONTINUITY

When your rep changes, Grant doesn't forget. When your team changes, the intelligence is already there. The service outlasts the turnover.

HOW LRO WORKS

Every upload makes Grant smarter about your shelf.

01

Upload

Drop a deck into Buyer's Read. Any .pptx or PDF. Pick your retailer. Grant reads it the way the buyer does.

02

Grant Scores

Verdict, top fixes, per-slide notes, and the buyer questions you'll face in the room. Every time, every upload.

03

Intelligence Compounds

Scores land in your LRO command center. Grant identifies what keeps scoring low, what lands, what the buyer keeps asking about.

04

Stay Ready

Outstanding Actions track what needs fixing before the next review. Your Brief shows where you stand across all your retailers.

THE PROBLEM WITH HOW IT WORKS TODAY

The knowledge walks out when the rep does. The new one rebuilds it from scratch. Every time.

Line reviews are won on retailer-specific intelligence, buyer psychology, pricing mechanics, framing that lands for this category at this chain. That intelligence lives in reps’ heads and leaves when they do. Auto SKUS is how you own it permanently.

1 / year
LINE REVIEWS PER RETAILER
~2 years
AVG. REP TENURE
$399/mo
VS. $15–25K PER CONSULTANT ENGAGEMENT
WHAT GRANT KNOWS

Trained on how Costco, Walmart, AutoZone, O'Reilly, and Advance buyers actually think.

Each retailer profile carries voice notes and the specific concepts the buyer cares about, Costco member math, Walmart OTIF, AutoZone VIO. That intelligence is what Grant draws on every time you upload. It’s the moat.

COSTCO
Member math · Demo arc · Roadshow→modular · Channel exclusivity · Off-ramp
WALMART
OTIF · MABD · Retail Link · Free-fill + slotting math
AUTOZONE
ACES homework · VIO top-list · Allowance stack
O'REILLY
DIFM commercial bias · FIRST Call hub strategy
ADVANCE
Category discipline · EDI VAN · Restructuring-era rigor

NAPA · SAM’S · TRACTOR SUPPLY · FLEET PRIDE, CUSTOM RETAILER PROFILES ON ENTERPRISE.

THE LRO COMMAND CENTER

Everything your team needs to stay shelf-ready across all your retailers.

Every Buyer’s Read upload flows into the command center. Grant identifies patterns across your history, what scores low, what lands, what the buyer keeps pressing on, and surfaces the work that matters before your next review.

  • INTELLIGENCE FEEDPer-retailer patterns Grant finds across your upload history. Not a list of scores, a picture of your real shelf readiness.
  • OUTSTANDING ACTIONSSpecific fixes Grant flags as recurring across uploads. The work you need to do before the meeting, not after.
  • WORKFLOW AUTOMATIONWhen a criterion drops below threshold, Grant creates a task automatically. Nothing falls through because a rep changed.
  • BRIEFWorkspace-wide status across all your retailers. Where you stand, what's trending, what needs attention today.
  • GRANT'S INVENTORYPin answers your team wants Grant to remember, framing that landed, objections you want to anticipate, things the new rep needs to know.
TOTAL OPTIMIZATION · YOUR 5 RETAILERS
COSTCO
84
WALMART
71
AUTOZONE
58
O'REILLY
77
ADVANCE
63
OUTSTANDING ACTIONS · 3 OPEN
  • AutoZone, tighten VIO coverage (recurring, 4 uploads)
  • AutoZone, add ACES application table to Ch. 5
  • Advance, refresh velocity data (stale 60+ days)
SAMPLE · GROWTH WORKSPACE · 5 RETAILERS
KNOW THE NUMBERS BEFORE THE MEETING

Paste your SKUs. See your net pocket.

Pick a retailer. Drop your SKUs. Margin Math runs the actual waterfall, allowance stack at Walmart, free-fill + slotting at Costco, cost-plus at AutoZone, and gives you weighted GM%, net pocket, and your biggest deduction leaks in 30 seconds.

Every retailer’s waterfall is different. We’ve already built five.

  • MODEL-AWAREEach retailer’s real deduction structure, not a generic gross-margin calc.
  • PARTIAL INPUTMissing COGS? Engine fills from a cost-ratio slider and flags what it estimated.
  • FEEDS THE SCORINGAttach a program to a Buyer’s Read upload. Grant scores your pricing math against your actual retailer waterfall: not a generic benchmark.
Try Margin Math free →
THE ANSWER · LIVE
38.4%
WEIGHTED GM% · TARGET 35%
CLEARS TARGET
NET POCKET
$2.1M
LIST REVENUE
$3.6M
DEDUCTIONS
$1.5M
SKUS
5
BIGGEST 3 LEAKS · CROSS-SKU
  • Off-invoice allowance−$680K
  • Slotting (amortized)−$420K
  • Co-op MDF−$185K
SAMPLE · WALMART ALLOWANCE STACK · 5 WINTER SKUS
HOW WE COMPARE

The intelligence has to live somewhere. Most options lose it when someone leaves.

Auto SKUS is where it compounds instead.

Human CatMan consultant
RETAILER INTELLIGENCEPartial, leaves with them
SURVIVES TURNOVERNo
COST$15–25K per engagement
Generic AI
RETAILER INTELLIGENCENo
SURVIVES TURNOVERNo
COST$20–50/mo
Spreadsheet + rep memory
RETAILER INTELLIGENCEPartial, unstructured
SURVIVES TURNOVERNo
COSTHigh time cost every cycle
Auto SKUS LRO
RETAILER INTELLIGENCEYes, compounds with every upload
SURVIVES TURNOVERYes, lives in the platform
COST$399/mo · 5 retailers · 20 uploads/mo
◷ IN DEVELOPMENT · BETA Q3 2026

Slide Builder is coming.

16-section framework, Grant-authored content from your intake, one-click .pptx export. Built on the same intelligence layer as Buyer’s Read, so your deck starts where your last score left off.

Preview the framework →
PRICING

Start free. Upgrade when the intelligence earns it.

Free trial tracks 1 retailer with 3 Buyer’s Reads, enough to see what Grant finds on your most important account. Growth tracks 5 retailers with 20 uploads a month at $399/mo (or $327/mo annual). One workspace fee, no seats, no caps on collaborators.

See pricing →
YOUR DATA

Not ChatGPT. Not Claude.ai. Not any consumer AI platform.

When you upload a deck into Auto SKUS, it goes into Grant, a purpose-built line review agent running inside your private workspace. Not into a public chat interface. Not into a shared AI model. Into an optimization engine trained on how retail buyers actually think.

Grant uses Anthropic’s enterprise API as a reasoning engine, the same way enterprise software companies use AWS as infrastructure. Anthropic does not train on API data. Your intelligence stays in your workspace and goes nowhere else.

Read our full data practices →
WORKSPACE ISOLATION

Your retailer scores, deck history, and compounding intelligence live in your private workspace only. No data crosses into another customer's context, ever.

ENTERPRISE API, NOT CONSUMER AI

Grant runs on Anthropic's enterprise API, not Claude.ai or any public platform. Enterprise data terms apply. Anthropic does not train on your data by default.

WE BUILT THE SYSTEM, NOT THE CHAT WINDOW

The scoring rubric, retailer knowledge vault, LRO memory, and optimization framework are proprietary to Auto SKUS. The AI is the engine. What we built on top of it is the product.

Upload your next deck. See what Grant finds.

Free trial · No card required
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