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AI Business Academy
Who it's for

Three disciplines, three working programmes.

The curriculum is built around the operational process of each discipline. Material, case studies and compliance requirements come from the sector itself. We do not offer generic AI modules.

Discipline · 013PL · DC · transport · Vo 561/2006

Operations die écht tikt.

OTD
96,8% → 98,4%
km / stop
−8% tot −14%
rijtijden-conflict
0
logistiek & transportAI Business Academy
Discipline 01

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.

Material covered in the curriculum
  • 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
Expected impact

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.

Discipline · 02HACCP · FSSC 22000 · BRC · IFS

OEE die écht stijgt.

ongeplande stilstand
−15% tot −30%
first-pass-yield
stijgend
audit-cyclus
dagen, niet weken
food manufacturingAI Business Academy
Discipline 02

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.

Material covered in the curriculum
  • 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
Expected impact

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.

Discipline · 03GlobalG.A.P. · Het Nieuwe Telen · BRC

Yield die écht voorspelbaar wordt.

yield-betrouwbaarheid 7d
> 0,85
arbeidsspreiding piek
+10% tot +20%
energie / opbrengst
in balans
agri-food & glastuinbouwAI Business Academy
Discipline 03

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.

Material covered in the curriculum
  • 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.
Expected impact

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.

Who it's for: AI for logistics, food and agri-food · AI Business Academy