Your process is not average. Your software shouldn't be either.
AI Process Automation
Not because people aren't working hard. Not because you lack good systems. But because the decisions that matter most still get made on instinct, habit, or the logic of someone who left five years ago. How much stock to hold. Which price to set. What stays in your assortment. How to sequence production.
Sometimes that's complex. A production plan that has to account for allergen changeovers, sequence constraints, and limited capacity. A pricing model that tracks customer behaviour, competitive moves, and seasonality all at once. A flight path that minimises emissions.
Sometimes it's simpler. Which items earn their place on the shelf and which take up space without returning anything? Even that decision, made every week on gut feel, can be better. And better means more margin, less write-off, fewer wrong calls.
AI is the means. The decision is the point. And somewhere in your business, that decision isn't good enough today.
If any of that sounds familiar, you know what we're talking about.
What we do
We build the models and the tools that make those decisions better. And we automate the ones worth automating. Step by step, deep inside your process.
Not a standard package that solves 80% of your situation. Not a report that disappears into a drawer. Software and models that your team uses every day to make better calls.
You set the complexity. We work just as well with a retailer that wants to know which 20% of its assortment is causing 80% of its problems, as with a manufacturer rethinking its supply chain. The starting point is always the same: a decision that could be better, and that's worth money to improve.
And it works. A food manufacturer calculating safety stock on gut feel was hitting 95% service level per product but 77% per order. Meaning nearly one in four customer orders wasn't delivered in full. A mathematically tailored model brought stock value down by more than 20% while service levels went up. A retailer running cost-plus pricing discovered it was structurally underpriced on 30% of its assortment. No grand strategy. Just a model that asked what the market was actually willing to pay.
We've shipped this for retailers, manufacturers, and trading companies across the Benelux. These aren't exceptions. This is what happens when you ask the right questions of the right data.
How we work
We work in steps. Each one builds on the last. Depending on where you are and what your problem is, we come in where it makes sense.
Foundation Everything starts with data that's correct, on time, and in one place. Not glamorous. But without it, the rest is worthless. We build the infrastructure that guarantees it.
[More on data infrastructure] (link)
Predict How much will you sell? Which customer is at risk of churning? What happens to demand when the promotion ends? We build forecasting models that answer those questions. Statistically grounded, refined with your domain knowledge, and usable by people who aren't data scientists.
Optimise The forecast is the starting point. The value sits in the decision that follows. We solve those decisions with mathematical models, machine learning, or agents that reason like an expert and scale like software.
Interface and automation A model nobody understands changes nothing. We build the cockpit around the decision. Clear, usable, with a validation step where it counts. And once a decision is repeatable, we automate it. So the system does the work and your team focuses on the exceptions.
The decisions we are best at
Pricing What's the right price for this product, right now, for this customer? Which customers are price-sensitive and which aren't? Where are you leaving margin because you're sitting too conservatively, and where are you losing volume because you're too expensive? A pricing engine that answers those questions isn't a price list in Excel. It's a model that learns continuously, accounts for competition, seasonality, and customer behaviour, and gives your commercial team grounded recommendations. With a human validation step where the decision is too consequential to fully automate.
Inventory and safety stock How much buffer do you actually need per product, per location, per customer contract? Not as an average across the assortment, but per SKU, calculated from demand variability and lead times. This is also the most accessible starting point for many businesses. You don't need to be a large manufacturer to get value here. A trading company with too much dead stock in the warehouse and too little of what customers actually want has the same problem at a different scale. We solve both.
Assortment Give me a ranked list of my SKUs by margin, rotation, and strategic fit, and show me which 15% I should probably drop. That alone is a decision worth money. An assortment model doesn't have to be complicated to be valuable. It just has to ask the right question. Which products pull margin up, which ones quietly erode it, and which gaps in your range is your competitor filling right now?
Production and planning Allergen changeovers, sequence constraints, shelf life, capacity limits. The combination turns production planning into a mathematical problem that humans can no longer solve optimally by hand. Especially not in the time available. We build planning models that take all those constraints simultaneously and find a solution an experienced planner would never reach manually. Not because the planner isn't good. Because the problem is simply too complex for manual optimisation.
We don’t guess. We crunch.
Custom-built has become affordable
Custom software used to mean a six-month project and a six-figure budget. That's changed.
Operational expertise plus AI-assisted development. Together that means we go deeper into your specific process, build faster, and stay closer to the reality of your business than any standard package. What used to require a large project budget, we now build in weeks. Not more superficially. More efficiently.
The result is software that knows your exceptions, applies your rules, and helps your people make the right call every single day.