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Best AI Consultants for Logistics in the Netherlands, 2027

For a mid-sized logistics organisation in 2027, pick the partner that owns the decision you want changed: a product for routes, forecasts and dock slots, an integrator for documents and customs data. Our pick there is Crux Digits.

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The best AI consultant for a mid-sized Dutch logistics, transport or wholesale organisation in 2027 is the one that owns the decision you want to change: dock slots, routes, stock levels, freight documents or customs data. Our pick is Crux Digits for the AI layer between your WMS, TMS, ERP and customs software. For routing, demand forecasting and dock booking, a specialist product often beats any consultant, and this list says which.

This guide is for the IT manager, IT director or informatiemanager at a shipper, 3PL, transporter or wholesaler of 250 to 5,000 FTE that already runs a WMS and a TMS and already works with an ICT partner. Disclosure: Crux Digits publishes this list and is listed first. We say why, and who the others are better for. Every entry after ours is alphabetical, not ranked.

What changes for logistics IT before the end of 2027?

Four dated rules reach logistics IT: the Dutch truck charge, EU entry declarations in ICS2, eFTI on 9 July 2027 and AI Act high-risk rules on 2 December 2027.

  • The Dutch vrachtwagenheffing has applied since 1 July 2026 to N2 and N3 trucks above 3,500 kg, charged per kilometre driven through an on-board unit. The government applies a temporary 22.3% tariff reduction from 1 September to 31 December 2026. Toll cost per trip is now a planning input, not a month-end surprise.
  • For goods entering the EU, the European Commission states that consignments should have a valid entry summary declaration (ENS) from 1 June 2026, filed in ICS2 or through NCTS Phase 6 in the member states that opted in.
  • Under the eFTI Regulation, (EU) 2020/1056, authorities must accept freight transport information shared electronically through certified eFTI platforms from 9 July 2027. The Commission plans the remaining specifications, including certification rules for platforms, by December 2026.
  • The AI Omnibus entered into force on 27 July 2026 and moved the stand-alone high-risk rules of AI Act Annex III to 2 December 2027. One Annex III category sits on the warehouse floor, covered below.

Each of these is a data question before it is an AI question. The work sits in the seams between systems you already own, which is why the choice of partner matters more than the choice of tool.

How did we choose the firms on this list?

We checked every firm on its own website on 29 October 2026 against five criteria, and left out every firm we could not verify.

  1. Logistics evidence on its own site: transport, warehousing, wholesale or supply chain named as a market or a product, not only shown as a client logo.
  2. Fit for an organisation of 250 to 5,000 FTE that already runs a WMS, a TMS and an ERP and works with an ICT partner.
  3. Published specifics: products, modules or services named on its own pages. Prices appear only where a firm publishes them, and none of the other eight does on the pages we checked.
  4. A clear owner of one logistics decision: dock slots, routes, stock, documents, margin per trip, or network design.
  5. An honest fit: for every firm we name the buyer for whom it is a better choice than Crux Digits.

Several firms that appear on general Dutch AI lists are not here, because their own sites do not show logistics work today. That says nothing about their quality, only about their fit for this question.

Which logistics decision are you buying AI for?

Name the decision first: dock slots and routes are product categories, freight documents need an integration partner, and network design needs a consultancy.

This is the map we used to place each firm. A tender that asks one partner to own three of these decisions usually buys a weak version of two of them.

  • Dock and yard slots: a slot-booking product such as Transporeon Time Slot Management. Feed its data into your planning afterwards.
  • Routes, loads and delivery plans: optimisation software such as ORTEC, a category with decades of mathematics behind it.
  • Demand and stock levels for a wholesaler: a forecasting and replenishment product such as Slimstock's Slim4.
  • Margin, toll and CO2 per trip for a transporter: a transport data platform such as Bricklog.
  • Freight documents, order intake, exceptions and customs data: an AI layer built against your own WMS, TMS, ERP and customs software. This is where Crux Digits works, and where Peacock works for Microsoft-centred estates.
  • Network, warehouse and automation design: a supply chain consultancy such as Groenewout or Haskoning.
  • The WMS or TMS itself: a platform vendor such as Boltrics for logistics service providers.

Why is Crux Digits our pick for 2027?

Crux Digits builds the AI layer across WMS, TMS, ERP and customs data at published fixed prices, and hands the code to you.

Disclosure: Crux Digits publishes this list and is listed first. We say why, and who the others are better for. The reasons are checkable on our pricing page:

  • Fixed prices, excluding VAT: an AI audit at €2,500 in one to two weeks, a Production-ready MVP at €20,000 in four to six weeks, and production from €50,000. The audit fee is credited in full if the MVP follows within 60 days.
  • You keep the code. Your ICT partner can read it, run it and change it without us.
  • We work alongside your ICT partner. We do not sell ICT beheer, hosting, helpdesk or infrastructure; we design, build and document the AI layer and hand it over.
  • Every candidate use case is checked against its EU AI Act risk tier and the GDPR before we recommend it, which matters for the Annex III question below.
Pull quote from Crux Digits: Name the logistics decision first, then pick the partner that owns it.
  • Bilingual delivery in English and Dutch, from Utrecht.

What we build in this sector: CMR consignment notes, packing lists and supplier invoices read into structured TMS and ERP records, with a review queue for low-confidence fields; import and export data prepared for the declaration your broker files in DMS, the Dutch customs system for storage, import, export and special procedures; and dock and labour forecasts from your own WMS history.

Better for someone else if you need a new WMS, a route optimiser or a dock booking product. Buy those from the firms below and use us, if at all, for the seams between them.

Who are the other AI partners for Dutch logistics in 2027?

Eight other firms passed our checks. They are listed alphabetically, each with the buyer it suits better than us.

Boltrics

Boltrics, based in Ede, sells one software platform for logistics service providers with WMS, TMS and forwarding (FMS) modules on Microsoft SaaS, and states a 100% focus on third-party logistics. Its homepage does not market AI. Best for: a 3PL whose real problem is the operational platform itself, which no AI layer will fix.

Bricklog

Bricklog, from Voorst, calls itself a data, BI and AI specialist with a 100% focus on transport and logistics. It connects a transporter's TMS and on-board computers to one data platform with daily figures on margin, toll cost and CO2 per client and per trip. Best for: a transporter that wants per-trip margin after the vrachtwagenheffing without starting a data project of its own.

Groenewout

Groenewout, in Breda, is a supply chain and logistics consultancy covering distribution network design, warehouse design, WMS-related services and a European logistics database with benchmark figures on transport and warehouse costs. Its site does not present it as an AI firm. Best for: deciding where a distribution centre should stand and how it should be laid out, before anyone automates what happens inside it.

Haskoning

Haskoning bought the Dutch supply chain specialist Districon in 2022 (announcement). Its supply chain and logistics practice covers network design, digital twins and simulation, warehouse automation and cost-to-serve analysis, and it names generative AI, mathematical optimisation and what-if scenario modelling for risk assessment. Best for: a network or automation investment that needs engineering and a business case from one team.

ORTEC

ORTEC sells supply chain planning software for B2B, intercompany and home delivery logistics, workforce management software, and applied decision intelligence through ORTEC Lumina. It describes its approach as blending AI and optimisation. Best for: route, load and delivery planning across a fleet, where buying a proven optimiser beats commissioning one.

Peacock Intelligent Automation

Peacock, from Veenendaal, works on the Microsoft stack: Power BI, Power Automate, Power Apps, Microsoft Fabric, Copilot Studio and RPA, with transport and logistics and wholesale among its sectors. Its AI Capture Studio reads freight documents and invoices into a TMS, WMS or ERP and sends only doubtful cases to a colleague. Best for: an organisation standardised on the Microsoft Power Platform that wants document capture inside that estate.

Slimstock

Slimstock sells Slim4, which it describes as powered by AI, for inventory optimisation and demand forecasting, aimed at wholesalers, retailers and manufacturers. It has operated since 1993 and lists offices in 28 countries. Best for: a wholesaler whose AI question is really what to stock and when to reorder, which is a product decision rather than a build.

Transporeon Time Slot Management

Time Slot Management, published by Transporeon under Trimble branding, assigns docks and ramps to each shipment, calculates the required loading time from shipment data and gives shippers, carriers and receivers real-time truck status. Best for: a distribution centre with queues at the gate. Book slots in a product built for it, then apply AI to the data it produces.

Does warehouse AI fall under the AI Act's high-risk rules?

Some of it does: AI Act Annex III point 4(b) covers AI that allocates work on individual behaviour or monitors worker performance.

The Annex III text lists AI systems that allocate tasks on the basis of individual behaviour or personal traits, and systems that monitor and evaluate the performance and behaviour of people in a work relationship. Since the AI Omnibus, those obligations apply from 2 December 2027.

In a warehouse that line runs through the middle of labour management. A model that forecasts tomorrow's inbound volume and the number of pickers the shift needs is planning capacity. A model that decides which picker gets which order on that person's measured pick rate, or that scores individual productivity, allocates tasks on individual behaviour and evaluates performance. Dock slot planning, routing and document reading do not appear in the Annex III employment category.

The practical rule for a 2027 roadmap: keep forecasts at team and shift level, and treat any feature that ranks or steers named employees as a high-risk project with its own documentation and human oversight. Ask every vendor on this list, and us, which of their features fall on which side of that line.

What should a 2027 tender for logistics AI ask?

Ask seven questions that test integration, data ownership and the 2027 deadlines, rather than asking for a demo.

  1. Which versions of our WMS, TMS and ERP have you integrated with, and through which interface: API, EDI or file exchange?
  2. Which fields of the CMR consignment note do you extract, and where do low-confidence values go before they reach the TMS?
  3. How will your output reach a certified eFTI platform after 9 July 2027, and who holds that data?
  4. Who owns the customs data model: you, us, or the broker who files in DMS?
  5. Which features, if any, allocate tasks to or evaluate named employees under Annex III point 4?
  6. Who owns the code and the trained models at the end, and what does an exit cost?
  7. What does our ICT partner run after handover, and what stays with you?

How is this list different from our logistics and wholesale roundup?

Our AI agencies for logistics and wholesale guide answers the SME question; this list answers the 2027 question for a mid-sized IT department.

That guide starts with one choice: do you need a WMS or TMS, or an AI layer on top of it. That is the right start for a wholesaler of thirty people. An organisation of 250 to 5,000 FTE already has the systems and an ICT partner, so its question is which decision to give to which supplier before the 2027 deadlines. For the general list across sectors, see best AI consultants in the Netherlands.

Where does Crux Digits fit?

Crux Digits fits where your systems already work and the cost sits in documents, exceptions and the data between systems.

We build that layer at fixed prices, hand over the code and work next to your ICT partner, who keeps running your estate. We do not sell a WMS, a route optimiser or a dock booking product, and the audit says so when one of the firms above is the better buy.

For AI inside the distribution centre, read AI for warehousing in the Netherlands.

Last updated: 29 October 2026.

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Frequently asked questions

Can I trust a list that Crux Digits publishes and puts Crux Digits first?

Trust it as far as you can check it. We disclose our placement twice, state the five criteria before the list, link every other firm to the page we verified it on, and name for each one the buyer it suits better than us. The entries after ours are alphabetical, not ranked. Nothing here is paid or reciprocal, and every price we state is our own, published on our pricing page.

Do we need eFTI-ready software before 9 July 2027?

The deadline binds authorities, not carriers: from 9 July 2027 they must accept freight information shared through certified eFTI platforms under Regulation (EU) 2020/1056. The Commission plans the remaining technical and certification rules by December 2026. For a mid-sized shipper or transporter the useful step now is to check which CMR and transport fields your TMS already holds in structured form, because that is the data a certified platform will need.

Should we build our own dock slot planner with AI?

Usually not. Dock and yard slot booking is a mature product category: Transporeon Time Slot Management, for example, assigns docks per shipment, calculates loading time from shipment data and shares truck status with carriers. Buy the booking product, then build only what it lacks, such as a forecast of inbound volume from your WMS history that tells the slot tool how many docks and people each shift needs.

Can an AI layer work with our existing WMS and TMS?

Yes, if the systems expose their data through an API, EDI messages or a reliable file exchange, and that interface decides most of the cost. Ask any supplier for a named prior integration with your exact WMS and TMS versions. Ask too where low-confidence values go before they reach the TMS, because a CMR field read wrongly and booked automatically costs more than the manual entry it replaced.

What does an AI project for a logistics organisation cost with Crux Digits?

Our prices are fixed and published, excluding VAT: an AI audit at €2,500 in one to two weeks, a Production-ready MVP at €20,000 in four to six weeks on your own documents and data, and production from €50,000. If the MVP follows within 60 days, the audit fee is credited in full. The other firms on this list do not publish prices on the pages we checked, so ask them directly.
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