For the people who keep the operation running.
We work from the primary process of each discipline. Not a generic AI course: we train your team and implement alongside them, with case material and compliance requirements from your own sector. The human decides and signs.
Logistics & transport
Operations directors · supply chain managers · planners · transport leads
For 3PLs, distribution centres, chain warehouses and transport companies that want to lift OTD, raise load utilisation and relieve their planners without surrendering end-responsibility. Dynamic routing, predictable fleet deployment and tight compliance on driving-time and sanctions.
- Dynamic route optimisation (VRP) with live traffic and EU driving-time rules (Reg. 561/2006)
- Demand and freight forecasting at delivery-day level, integrated with TMS and WMS
- Predictive maintenance on tractors, trailers and warehouse MHE
- Document discipline: CMR, T1, eCMR with extraction and validation
- Sanctions and export compliance before loading (EU and OFAC lists)
- Load-utilisation and backhaul optimisation with CO₂ reporting for scope-3
Indicative: OTD rises by several percentage points and km per stop drops by 8% to 14%. Structurally fewer driving-time conflicts and a planner who can think strategically.
AI voor groothandel en logistiek: waar begint u? (article in Dutch)
Food manufacturing
Plant managers · operations directors · QA managers · supply chain directors
For producers of food, beverages, dairy, meat and plant-based protein that want to raise OEE, cut waste and stay inside HACCP, FSSC 22000, BRC and IFS. Predictive maintenance, vision inspection and an HACCP-compliant audit trail as one whole.
- Predictive maintenance on production lines (vibration, temperature, cycle time)
- OEE loss analysis: micro-stops, changeover time, quality loss per shift and SKU
- Computer vision on packaging lines for reject classification and first-pass yield
- HACCP CCP logging and hash-chained audit trail for BRC, IFS and FSSC 22000
- Demand sensing for the cold chain, integrated with S&OP and production planning
- Recall and lot traceability from raw material to pallet label
Indicative: unplanned downtime drops by 15% to 30%, waste falls structurally, and audits are prepared in days instead of weeks because the evidence builds itself.
AI in food manufacturing: waar begint een producent? (article in Dutch)
Agri-food & greenhouse
Growers · board · site managers · labour planners
For greenhouse growers, arable farmers, fruit growers and processing cooperatives that want to forecast yield at bay level, deploy labour efficiently, and steer energy and water use within Het Nieuwe Telen and GlobalG.A.P. Climate data, growth curves and labour planning in one model.
- Yield forecasting per greenhouse bay or plot using climate data, growth curves and WUR datasets
- Labour planning for pick and harvest peaks, including flex staffing and housing
- Climate computer monitoring (Priva, Hoogendoorn) and dosing systems
- Plant and crop health via computer vision: disease, pest and growth detection
- Energy, water and CO₂ control across CHP, geothermal and LED lighting
- Traceability down to bay and pick crew, compliant with BRC and GlobalG.A.P.
Indicative: yield forecasts with reliability >0.85 over seven days, labour distribution that eases peak hours by 10% to 20%, and energy spend that tracks output.
Where does AI help your operation first?
A few questions. One report. The Practice Scan combines your discipline, your situation and your starting point into a phase indication and the route that best fits where you stand today.