SCIS reads the delivery notes, certificates and emails that arrive at your door anyway, holds them against what should have been true, and tells you what is open — before the auditor, the retailer or the customer asks.
One document is enough. You see what becomes of your own paperwork — no project, no login.
Checked against order PO-2026-00042
No typing, no searching. These are documents that arrive at your door — and what SCIS makes of them.
“Where is the delivery note for lot 340030?” — and three people start looking. None of these exposures start in production. All of them end with you.
You answer for every batch — including the ones filled in plants you do not own. When the authority calls, what counts is how fast you produce the customer list. Today that is days in folders.
A wrong label, a late order confirmation: first the chargeback, then the service score. Your biggest customers grade you on paperwork you do by hand — and a listing is lost faster than it was won.
Write-offs, stockouts, and deposits in circulation. Few owners can say how much returnable packaging is out with customers right now — it sits on their balance sheet as a liability.
Who keys the orders when that person is off for three weeks? A business that runs in a few heads cannot be scaled, and is discounted by anyone valuing it.
One root cause: the evidence arrives as documents and stops there. Nothing measures it against what should have been true — so nobody knows what is open until somebody asks.
SCIS makes two promises. Capture what is there: whatever your systems, your suppliers and your fillers can give, comes in complete — no document is lost on the way. Measure what is missing: that actual state is held, continuously, against what should be true. Three jobs sit in between, and almost nobody automates even one.
A certificate of analysis arrives as a PDF. A delivery note as a phone photo. An order as free text in an email. Drop in any document, or connect a system — SCIS turns the mess into clean, checked data. No typing, and nothing lost on the way: what a document holds is in the system afterwards in full — including the fields nobody asks for today.
Reads any unstructured document — PDFs, scans, photos, emails — and extracts the values.
Cross-references your ERP, quality system and partner data, and fills in what the document left out.
Validates against your specs and rules, and flags anything off — you resolve it in one click.
Accounting exports ready to post, EDI out to the retailer, an API for your ERP. Nobody re-keys.
Certificates of analysis · quality protocols · delivery notes · purchase and sales orders · price lists · recipes and bills of material · EDI messages
Nothing becomes data unseen: every extraction lands on a review screen where you confirm it — or correct it in one click, including the AI's verdict on a quality protocol.
Your ERP believes whatever it is told. It has no idea what that value should have been, whether the supplier's own limit matches yours, or which document should have arrived and never did. The reference model holds what should be true — from purchasing through production to sale — and measures every process against it.
“Your co-packer's form says PASS. SCIS says: measured 3.9 against your limit of 3.5 — and the parameter you require was never measured at all.”
Not “is this certificate valid?” but “is the incoming-goods CoA, the spec, the release analysis even on file?” A required set of evidence for every stage.
Every measured value graded against the spec you hold — not the limit printed on the supplier's own form. A form that quietly skips a test is a number, not a blank space.
Missing evidence and out-of-spec values rise to the top on their own. The team works a short exception list, not hundreds of batches one by one.
Searching only finds what you already suspect. That is exactly why gaps survive for years in well-run companies: nobody asks the question, because nobody knows it is open. SCIS asks it for you — on one screen, every day, unprompted. The gap is not a defect in the system but the finding itself: it shows how far your data sits from the ideal state today.
Produced, sold, never released. Noticed at year-end, if at all.
The raw material sits in the warehouse, the certificate never came — and it was used.
Shipped with no batch attached. A recall that cannot be executed.
The production plan is set, the sugar is not enough. Visible eight weeks out, not on the day of the run.
Including when your buyer is on holiday. What your people carry in their heads is written down once — the specification, the document that must arrive, the date that was promised, the minimum on the shelf. After that the system does the checking, not the person. That is the difference between a business that runs in three heads and one you can hand over.
Follow a co-packer's certificate of analysis: read without typing, judged against your own specification, and traced back to the supplier and forward to every customer.
These are what you get once the data is clean and the system knows your rules.
Live by location, lot and expiry. Every receipt, production, issue and correction on one ledger.
Picking is pointed at what expires soonest, so less product is written off.
On hand against open orders, so a shortfall shows up before a customer finds it.
Every batch graded against your specs — across sites you don’t own.
Back to the supplier, forward to every customer. Not a week in binders.
The dossier assembles itself, because the evidence was checked on arrival.
Orders, despatch advice, invoices and SSCC pallet labels in the format buyers demand.
Returnable crates and Pfand tracked per partner, with the liability on the balance sheet.
Revenue, purchase costs and stock movements exported ready to post.
Nine capabilities, two mechanisms. Take away the Inbox and the reference model and every one of them becomes manual again.
The other shows up in what you can rely on — and that one lasts longer.
Stock, orders and evidence in one place. Nobody reconciles spreadsheets before a meeting any more.
The Inbox captures it, so transcription errors stop at the door instead of travelling downstream.
Every value graded on the spec you hold — not the limit printed on somebody else’s form.
The stock ledger reconciles: opening balance plus every movement equals what is on the shelf.
We don't publish percentage savings. In the pilot we measure your baseline first — hours per order, time to invoice, stock-out cost, audit effort — and then show you the difference on your own numbers.
The one that matters most is the one you stop noticing.
Reads certificates of analysis, delivery notes, orders and quality protocols. Extracts the values, classifies the document, matches it to the right order or batch. This is the model that does the most work in SCIS by a wide margin — every document that arrives, every day.
A statistical baseline that the AI adjusts, never a number the model invented on its own. Seasonality and trend come from your history; the adjustment sits next to the baseline so you can see it, argue with it, and override it.
The AI reads and suggests. It does not decide. Every value it extracts is judged against your own rules by plain, repeatable logic — same input, same verdict, every time — and nothing becomes data before somebody has seen it. Where a model would have to guess, SCIS asks instead.
You don't have to take our word for it — SCIS runs in production today on real customer data.
a craft brewery, live on SCIS
a beverage distributor, in rollout now
Red Bull — Head of Global Supply Chain
Secure & in your hands: Daily backups · your data stays yours, fully exportable anytime · roles, permissions & a complete audit trail.
If you make, fill or distribute consumer goods at mid-market scale, SCIS is built for your day.
Running real volume across many SKUs, sites and customers — managing stock, orders, invoicing, deposits and recall every day.
Juggling batches, BOMs, customer stock and dock schedules — needing traceability and tight operations without an enterprise rollout.
One control tower across plants and warehouses — real-time stock per location, group-to-site-to-SKU visibility.
The usual objection is a fair one: we have to fix the basics before we can use something like this. You don't. Both of these run on work you already do, and produce something in the first weeks that nobody in the company has today.
Forward the inbox. Certificates of analysis, specifications, delivery notes and invoices are read, filed, and matched to the lot or the order they belong to — each one confirmed once by a person before it becomes data. Inside a week, “where is the CoA for lot X” has an answer that is not a search.
Needs an email address. No master data, no migration, no clean-up first.
If you deliver in returnable crates or kegs, book the deliveries and returns you already book. You get what is in circulation per crate type and per customer, the return and breakage rates, and the deposit liability as a number rather than an estimate.
Needs your customers and your crate types. Nothing else.
What we do not propose: a migration, a data clean-up project, or replacing your accounting. If the first step brings nothing, you have lost weeks, not a year.
Here is the part that isn't — and none of it is needed for either door above. This is what the reference model costs, once you want SCIS checking against your own standard.
Products, partners, locations, units and pack sizes. You send an export from whatever you run today; the AI import maps and loads it. You check a sample, not every row.
The reference model can only check against a standard you actually hold. Specifications, limits and required documents have to become data. We extract them from your existing paperwork — but your QM signs off every one, and nobody else can do that part.
Bills of material, and what is on the shelf on day one. Both import; both need somebody who knows the product to confirm them before you rely on the numbers.
We would rather say this now than in month two. Most of it we do for you; the specs are yours and there is no way around that. Which is why the first thing we sell is a scoped look at your data — not a licence.
Reference guides we built for the beverage & FMCG world — free, no signup, no catch.
Ingredients, suppliers, co-packers, COGS & EU compliance.
OpenChannels, margins, distributor directory & route-to-market.
Open3PL, freight, cold-chain & last-mile providers across Europe.
Open5,000+ EU TARIC rates and landed-cost scenarios.
OpenNobody standing at the line has time for a training programme. A document goes in, a screen shows what is open, a short list gets worked off. What happens behind it — reading, matching, measuring, tracing — is our work, not yours. Software that takes work away from day one instead of adding it.
Three steps, and you see it on your own products before you commit to anything.
Bring one product and one of your documents. We run it through the Inbox, live, before the call ends.
AI import brings products, partners and stock in. You start alongside your existing systems, not instead of them.
We take your baseline first, then show the difference on your own numbers — hours per order, time to invoice, stock-out cost, audit effort.
Daily backups · your data exportable at any time · full audit trail