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Practice analyses from three disciplines.

Short analyses based on implementations inside Dutch operations. No forecasts, no vendor pitches.

  1. Buyer's guide

    AI order entry: orders from email and PDF automatically into your ERP or TMS. What it delivers and where it goes wrong

    Three routes to get orders from email and PDF into your ERP or TMS with AI, where it goes wrong and how to measure in 30 days whether it pays off.

  2. Buyer's guide

    What does AI implementation cost in logistics, food and agri? Amounts by route (2026)

    What AI implementation costs by route: setting up Copilot or ChatGPT, an ERP agent or a custom workflow. With cost tables and a calculation template.

  3. News

    Superintelligence and AGI: what they are, who is building them and what they mean for logistics, food and agri

    What superintelligence (ASI) and AGI are, who is building them, what experts expect and what changes in the next three years for logistics, food and agri.

  4. Buyer's guide

    Copilot Business: what it costs, the 30-day trial and how to measure whether it pays off

    What Microsoft 365 Copilot Business costs, how the 30-day trial works, what the licence does not cover and how to measure in 30 days whether it pays off.

  5. Subsidy

    SLIM subsidy 2027: what is fixed, what is not and how to prepare now

    The SLIM application windows for 2027 are not yet known. What is already fixed, what the 2026 lottery showed and what you can prepare now.

  6. Logistics

    AI agents in operations: what may an agent do on its own?

    What an AI agent is, which agents really exist today and how to decide per task what an agent may do itself in order intake, customer service and planning.

  7. Implementation

    Why AI projects in operations stall after the pilot, and how to prevent it

    Why AI pilots in operations stall, what the MIT figure of 95 percent really measures, and a checklist to keep a pilot running for good.

  8. Logistics

    AI and jobs in logistics and food: which tasks are changing?

    Will AI cost jobs? What CBS, UWV, OECD and ILO measure, which tasks change in planning, administration, quality and the warehouse, and what to do now.

  9. Compliance

    An AI retrofit on an existing machine: when do you become the manufacturer yourself?

    If you add AI to an existing machine, you may become the manufacturer yourself. The test in the Machinery Regulation is narrower than you are often told.

  10. Compliance

    Meaningful human intervention: when does a signature on an AI decision count?

    A human sign-off is not yet meaningful intervention. What the GDPR, the Dutch DPA and the Amsterdam Court of Appeal actually require, and how to show it.

  11. Compliance

    AI tools, shadow IT and your duty of care: the Dutch Cybersecurity Act has applied since 15 August

    The Dutch Cybersecurity Act has applied since 15 August 2026 with no transition period. Why every AI tool out of IT's sight is now a board-level risk.

  12. News

    The Data Act from 12 September 2026: how to claim your own machine data when you next invest

    From 12 September 2026, a new connected product must release its data by default and free of charge. How to use that when you next invest in machinery.

  13. Food manufacturing

    Computer vision on the packaging line: how reliable is AI reject classification really?

    How reliable is AI reject classification on a packaging line? What vision sees and misses, and how to properly validate false rejects and false accepts.

  14. Compliance

    AI in recruitment and workforce planning: the category where the EU AI Act is strictest

    AI for recruitment and workforce planning is high-risk under the EU AI Act; the deadline is 2 December 2027. What it asks and how to test vendor claims.

  15. Compliance

    EU AI Act supervision since 2 August: what really changes for SMEs now?

    What Dutch AI supervision has been able to do since 2 August 2026, who is already asking for evidence and what the AI content code of practice adds.

  16. Logistics

    Document extraction for CMR, T1 and eCMR: where AI saves time without putting the file at risk

    Extracting CMR, T1 and eCMR data with AI saves retyping. What accuracy and exceptions really mean, and why the human signs.

  17. Wholesale

    Demand forecasting with AI before the December peak: what you can prepare now

    The December peak is prepared in September: which data must be in order now, what AI demand forecasting does improve, and why November is too late.

  18. Subsidy

    SLIM subsidy 2026: application windows closed, the outcome and what now (a guide for SMEs)

    All 2026 SLIM application windows have closed and were heavily oversubscribed. What the lottery means, when decisions follow and what is known about 2027.

  19. Compliance

    EU AI Act from 2 August 2026: what really applies to SMEs now

    What really took effect under the EU AI Act on 2 August 2026, what has been postponed to 2027 and 2028, and what to put in place now as an SME.

  20. Agri-food

    AI and the energy transition in greenhouse horticulture: from cost item to control variable

    Energy is the largest cost item in greenhouse horticulture. What AI realistically means for crop and energy control, and where the limits lie.

  21. Logistics

    Dutch truck toll in 2026 and 2027: rates, the temporary discount and what AI in trip planning really does

    A 22.3 percent discount on the Dutch truck toll applies until 31 December 2026, then the rate rises. How better planning cuts the cost per shipment.

  22. Logistics

    The driver shortage and AI: what it does solve in planning, administration and recruitment, and what it does not

    The driver shortage is transport's biggest concern. What AI does solve in planning, administration and recruitment, and what it does not: no extra driver.

  23. Food manufacturing

    Labour shortage in the food industry: automation and AI as a growth enabler in a tight labour market

    Slight growth in the food industry, held back by labour shortages and rising wages. Where automation and AI realistically help, and where to stay critical.

  24. Food manufacturing

    FSSC 22000 version 6: a smart way to record quality data and traceability with AI

    FSSC 22000 v6 asks more on food safety culture and traceability. How to record quality data the smart way with AI, while the human decides and signs.

  25. Agri-food

    Harvesting robots and AI sorting in mushroom and soft fruit growing: what works and what does not in 2026

    Harvesting robots and AI sorting in mushroom and soft fruit growing in 2026: what works, what does not, and a sober look at costs and payback periods.

  26. Agri-food

    Fewer labour migrants in horticulture: what automation and AI do and do not solve

    Horticulture relies on labour migrants and policy is turning off that tap. What automating cultivation, harvest and sorting does and does not solve.

  27. Logistics

    AI in the warehouse and e-fulfilment: order picking, inventory and the staff shortage in 2026

    Staff shortages hit warehouses and e-fulfilment hard. What AI and automation really solve in order picking, inventory and returns, and what they do not.

  28. Logistics

    CountEmissionsEU and ISO 14083: calculating CO2 per shipment with AI, without extra staff

    Clients already ask for CO2 per shipment under ISO 14083. How AI gets that calculation from your existing data, with the human still responsible.

  29. Food

    EUDR from 30 December 2026: making due diligence for cocoa, coffee and soya in food manageable with AI

    Food producers using cocoa, coffee, soya or palm oil must prove deforestation-free origin for each shipment. How AI makes that due diligence manageable.

  30. Logistics

    Route optimisation in transport: what it is, what AI adds and what the Dutch truck toll changes

    What route optimisation is, what AI really adds, what an avoided kilometre saves under the Dutch truck toll and how SiLK supports joint planning.

  31. Food manufacturing

    Predictive maintenance with AI: from sensor data to a well-founded maintenance decision

    How AI uses sensor data to make maintenance more predictable in food and logistics, what that takes in data and organisation, and why the human decides.

  32. Agri-food

    AI in greenhouse horticulture and agri-food: where to start with yield forecasting and climate control

    A practical route to AI in the greenhouse: yield forecasting, climate data and harvest planning. The grower decides, AI advises. With specific first steps.

  33. Food manufacturing

    HACCP and AI: AI may support, but deciding at the CCP remains human work

    HACCP and AI go together if AI supports and the human decides at the critical control points. How to set this up demonstrably in FSSC 22000, BRC and IFS.

  34. Compliance

    The EU AI Act in practice for operations: what to put in place now, and what comes later

    The EU AI Act in practice for operations: what Article 4 already asks, what changes in 2026 and how to handle it without locking down your processes.

  35. Compliance

    EU AI Act simplified in 2026: what really changes for SMEs?

    Has the AI Act been postponed? The omnibus package moves high-risk AI to December 2027 and August 2028; the core remains. What that means for SMEs.

  36. Subsidy

    SLIM subsidy 2026 and AI training: application submitted, what now?

    The SLIM window of 19 August to 7 September 2026 has closed. How the lottery works, when the decision comes and how to get your AI learning track ready.

  37. Food manufacturing

    AI in the food industry: where does a manufacturer start? Quality, labelling, planning and waste

    Where does a food manufacturer start with AI? Process by process: label and quality checks, planning, maintenance, waste and HACCP, with costs and limits.

  38. News

    Claude Fable 5 is out: what the most powerful public AI model means for logistics and food

    Anthropic launched Claude Fable 5 on 9 June 2026. What was actually announced, and what it does and does not mean for logistics and food.

  39. Wholesale

    AI in inventory management for wholesale and food: a vendor-neutral step-by-step plan

    Optimising inventory management with AI: from data and forecast via safety stock to exceptions and evaluation. What to measure and what the planner does.

  40. Compliance

    ChatGPT and Copilot safely in the workplace: GDPR and AI Act in a workable policy

    Using ChatGPT and Copilot safely at work: tool levels, working agreements under the GDPR and what the AI Act has asked of you since 2 August 2026.

  41. Compliance

    AI literacy: what it is, what Article 4 has required since the omnibus and what to put in place now

    What AI literacy is, what Article 4 of the AI Act has required since 27 July 2026, whether you need a certificate and which four steps to take now.

  42. Buyer's guide

    Choosing in-company AI training: costs, formats and what to look for

    What does in-company AI training cost? Price per group or per person, four formats compared, the questions to ask a provider and our price from €2,500.

  43. Logistics

    AI for wholesale and logistics: where do you start? A six-step plan

    Starting with AI in wholesale or logistics: six steps for each process, from data check and baseline measurement to autonomy level and a first 30-day test.

New publications appear on an ongoing basis. Sources are listed at the bottom of each article; clients receive extended versions with templates.

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