An LLM reads each retailer's vendor manual into machine-enforceable rules that drive your order-to-cash pipeline, so violations get caught before they ship, not billed back after.
Every retailer ships a vendor routing and compliance guide: a hundred-plus pages of PDF covering carton labels, ASN timing windows, packaging, palletization, EDI specs, and a penalty schedule for each. Staying compliant meant a human reading each manual and remembering it. Misses became chargebacks, and every new account meant starting that reading over.
01 The Challenge
Each retailer's guide is dense, specific, and different: this retailer wants the ASN within an hour of shipment, that one wants a particular GS1 carton label in a particular spot, another fines you for the wrong pallet height. The penalties are real money. Operations was expected to absorb all of it from memory, and onboarding a new retail account meant one person reading a hundred pages and translating them into "things we must not get wrong." Inevitably, rules were missed, and the misses came back as compliance chargebacks weeks later.
The knowledge existed. It just was not in a form the pipeline could use.
02 The Approach
The governing rule: every rule is extracted with a citation to its source page, validated by a person, versioned, and wired into the order-to-cash pipeline as an automated check, so compliance is enforced before a shipment goes out rather than remembered after.
The decision that made it trustworthy was provenance: the model returns the exact page and clause each rule came from, so Operations can verify it in seconds and so the rulebook stays auditable when a retailer updates the guide. On top of the structured rules sits a plain natural-language interface ("what is this retailer's ASN deadline and carton label spec?") so the team gets answers without paging through a PDF.
What we deliberately did not do: no blind trust in the extraction (every rule is human-approved before it can block a shipment), and no hard-coding. The rules are data, versioned as guides change.
03 The Build
Each compliance guide is ingested as a PDF and read by Claude Opus 4.8 (vision for the document, with the full guide held in context) into a structured rule schema: rule type, condition, value, penalty, and the source page. Operations validates the extracted rules in a TypeScript console; approved rules are stored and versioned in PostgreSQL. Those rules then drive checks inside the order-to-cash pipeline from the EDI build, validating ASN timing, labeling, and packaging before a shipment is released and flagging risk in advance. A retrieval layer (pgvector over the guides plus the structured rules) powers a natural-language query interface, with Claude Haiku 4.5 answering, each answer linked to the source clause.
The rules feed the routing and ASN logic the EDI build already runs, so enforcement happens inside the existing pipeline rather than as a bolt-on.
04 The Results
New-retailer onboarding dropped from weeks to days, because reading and codifying the guide is now an extraction step a person reviews, not a manual project. Compliance chargebacks fell roughly 80% once the rules were enforced inside the pipeline before shipments released. Operations can ask what any retailer requires and get an answer in seconds, linked to the source clause. And when a retailer reissues its guide, re-extraction surfaces exactly what changed.
05 What's Next
The rules are the connective tissue between the retailers' requirements and the brand's order-to-cash pipeline. As guides change, re-extraction keeps the pipeline current, and the same structured rulebook can drive vendor scorecards and pre-emptive alerts, so compliance becomes a system property rather than a person's memory.
An automation layer over Dentally that pulls intake and referral documents straight into the record, and reads clinical notes to surface and personalize the follow-up that actually books treatment, with the front desk approving every step.
An LLM reads supplier invoices, freight and customs bills, 3PL fee schedules, and processor statements into the cost model, so contribution margin reflects true landed cost without manual data entry, even as tariffs and freight move.
Numbers you can trust, operations that run themselves, all built into your stack and owned by you. Tell us where you want the edge, and we'll build it.
You'll hear from an engineer the same working day, not a sales sequence.
A short call, then a plan, and we start with Proof Week or a full build.
A fixed fee agreed before anything starts, for Proof Week or the full build.