Retyped orders, a spreadsheet next to the ERP, a planning that lives in one head. That can work differently.

For manufacturers, wholesalers and logistics. At a wholesaler, nobody retypes over 3,300 of 5,017 order emails anymore. We start with one job that pays off within weeks, on the systems already in place, and the team keeps control. If the current way of working wins, there is no proposal.

Free guide: the AI use case that actually pays off

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0%accuracy
Before

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Products in the backtest

  • 2 out of 3Order emails at a wholesaler nobody retypes anymore
  • 84%Accurate quote prediction at Masparts
  • 2-4 wkTo something that works
Works with the systems already in place:
  • Exact
  • AFAS
  • SAP Business One
  • Dynamics 365
  • Odoo
  • Microsoft Azure
  • Snowflake
2ProofOrder intake
Warehouse staff between the order racking

Two of every three order emails no longer get retyped.

At a wholesaler, every order email used to be retyped into the ERP by hand. Now a model reads the email and stages a draft order, and the order desk approves every order itself. Measured in September 2026: over 3,300 of 5,017 order emails.

See wholesale

At Masparts, the model predicts with 84% accuracy which quotes become an order. At a market leader in construction tools, forecast accuracy rose from 40% to 86%, tested on 1,247 products.

Read the Masparts case Read the forecast case

Book an intro call

Tell us which work keeps piling up: orders, inventory, planning or the link between them. Our team says honestly whether and how we can help, and if there is nothing to gain, you hear that too.

Rutger Geerlings, solution architect at Stratalytic

Rutger Geerlings

Solution architect

What is it about?

No sales pitch, no newsletter. We only use your details for this conversation.

“Stratalytic turned our own data into something we steer on every day. Our sales team now instantly sees which quotes are promising and which parts sell together, and it lives right in the system we already use. It was live within a month.”
Nick Helferrich, Founder, Masparts

Before the call

Does this work for a company like ours?

It fits best with companies of roughly 20 to 250 people in manufacturing, wholesale or logistics, where orders, inventory and planning now run through an older ERP, Excel and email. We always start with one concrete case where the data and the business value are clear, alongside the systems already in place. If a standard package covers the process fine, we say so up front.

What if it does not work?

Then there is no proposal. First we test on the company's own history whether there is anything to gain, free and without obligation. If the current way of working wins, that is the answer and it costs nothing.

How much of our time does this take?

The call takes 30 minutes. After that we ask for two years of history (orders, sales or inventory, whatever sits in the ERP or in Excel); we handle the rest. The team does not have to run a project alongside its work.

Our data is messy. Is that a problem?

Usually not. In the first step we look at what is there and say honestly what is usable. If the data is not ready, the company hears that before anything is spent.

How long does a first project take?

A first working version is usually live in 2 to 4 weeks. We work in short steps with results along the way, instead of waiting months on a closed system nobody can look into.

What does it cost and how does pricing work?

The price of a scoped first project depends on scope and data complexity; we set it after the feasibility study. We only put forward a proposal when the saving in hours and errors clearly outweighs the investment.

Is our data secure?

Processing happens in your own or an EU cloud, GDPR-compliant, under a data processing agreement. We never train on third-party data.

Who maintains it once you are gone?

The code and the model belong to the company, so another developer can take over. During the project we handle the build, the integration and going live; after that, maintenance can stay with us, and the company decides when that ends.

Thirty minutes to see where the biggest impact is.

An honest estimate in numbers, even if the answer is that it does not pay off.