Demand forecasting for a 14-store fashion chain
A regional retailer in Aragón was drowning in end-of-season stock. We built an ML demand-forecasting and markdown engine on top of their POS data, rebalancing inventory weekly across stores.
We turn AI, automation and data into measurable profit for real businesses — retail, logistics, sales and accounting. No hype. Just results you can read on your P&L.
Every engagement starts with one question: where is the money hiding in your operation? Then we build the system that finds it.
Demand forecasting, markdown optimization, assortment planning and store analytics that protect margin.
See case study →Route optimization, fleet telematics and warehouse intelligence that cut cost per delivery.
See case study →RPA and workflow automation that remove repetitive back-office work — invoices, orders, reporting.
See case study →Custom models, copilots and decision engines built around your data — deployed, not demoed.
See case study →Lead scoring, pipeline analytics and pricing engines that raise win rates and shorten cycles.
See case study →Cash-flow forecasting, automated reconciliation and faster month-end close.
See case study →Representative projects across our six specialties. Names withheld, numbers real-world realistic — yours could be next.
A regional retailer in Aragón was drowning in end-of-season stock. We built an ML demand-forecasting and markdown engine on top of their POS data, rebalancing inventory weekly across stores.
A food & beverage distributor running 40 vehicles across Aragón and Navarra. We deployed a route-optimization engine with live telematics, replanning every morning in under 3 minutes.
Three people spent their days retyping supplier invoices into the ERP. We deployed document AI plus RPA that reads, validates and posts invoices automatically — humans only review exceptions.
Quotes took five days and won too rarely. We built a copilot that scores leads, drafts technical proposals from the catalogue, and suggests next best actions inside their CRM.
Sales relied on gut feeling. We unified CRM, ERP and web data into a scoring model that tells reps who to call today and what to offer — with dynamic price guidance per customer.
Month-end close took nine days and cash surprises were routine. We automated bank reconciliation and built a rolling 13-week cash-flow forecast the CFO trusts enough to plan hiring around.
We talk about your business, not about AI. You leave with at least one concrete opportunity, whether you hire us or not.
We map your processes and data, and rank every opportunity by expected € impact and effort. You get a roadmap with numbers.
Small senior team, short sprints, working software in your real operation — not a pilot that dies in a drawer.
We track the agreed KPIs together. If it doesn't move the number, we fix it. When it does, we scale it.
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