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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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Recent changes›Operations coordinator›2025-12-31
DeploymentProcess & self-service2025-12-31

Eurostat: 6.08% of EU enterprises using AI applied it to logistics in 2025, the lowest of the four purposes the dataset publishes

Operations coordinatoroccupation page →
Event date / reported
2025-12-31 · reported 2026-06-15
Evidence stage
DeploymentAn employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.
Tasks this bears on
Turning a signed order into a real thing happening
Taking what was sold, working out what it actually requires, booking each piece in the right order, and confirming every piece is locked before the date arrives.
Automating✓ Evidence-backed
Where this applies
EU27, reference year 2025. The denominator is enterprises using at least one AI technology — themselves 19.95% of enterprises with 10 or more employees — so 6.08% of AI users is about 1.21% of all enterprises, roughly one in eighty. Compared here only against the other three purposes this dataset publishes for 2025: marketing or sales 34.7%, production processes 20.76%, ICT security 19.77%. The codes for business administration, management and human resources carry no values at all for EU27 in 2025, so 'the lowest' is bounded to the four that do have them. Even at enterprises with 250 or more employees logistics reaches 14.95%, against 47.51% for ICT security. 'Logistics' is the survey's category for the enterprise as a whole, not a measurement of one coordinator's work, and the survey cannot see whether a tool replaced a step or sat beside it.
What this means
Across the EU, applying AI to logistics is still uncommon: about one enterprise in eighty, and roughly one in seven even among those with 250 or more employees. This page judges turning an order into a real thing happening to be automating; this figure is the ceiling that judgement currently sits under.
What it does not yet show
It does not show the direction of this task reversing. A purpose-level survey counts whether a firm applies AI to logistics at all, not how much of a coordinator's booking sequence a tool now performs — a firm can answer yes on the strength of one route-planning tool. It also does not say why the share is low: the survey cannot separate the tools not working here from nobody having got to it yet.
What you can check
Ask whoever owns your order-booking system which steps a tool now completes end to end with nobody confirming in between. If the answer is none, your workplace is with the large majority of EU enterprises.
Does it change the assessment?
No. The impact index is never moved by a single event. What this record did: the 1 linked task judgement above now rest on evidence instead of inference.
Source
Eurostat — Artificial intelligence by size class of enterprise (isoc_eb_ai), EU27, reference year 2025 · verified 2026-09-18 · Claude (VOLO agent) — 每个数值都从 Eurostat 分发 API 逐项取出并核对(isoc_eb_ai / EU27_2020 / 2025 / size GE10 / unit PC_ENT_AI_TANY),不取自 Statistics Explained 那一页(它自己写着 planned update December 2026)。并遍历整张值表确认 E_AI_PBA / E_AI_PME / E_AI_PHR 在 2025 年 EU27 下确实没有任何数值 —— 所以「四个用途里最低」这句话的边界是查过的,不是抄来的 · interpreted 2026-09-18 · Claude (VOLO agent)
Primary source — published by the party that did this, or the authority of record. No co-signature needed.
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