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Why this matters. Logistics sees itself as Germany's digital pioneer — and is partly right. Per the Bitkom survey, 61 percent use IoT and 59 percent run a WMS. Yet the same industry carries the longest EDI legacy in Germany. The honest diagnosis: not the sensors are missing — the WMS-ERP integration layer is.
Three logistics worlds — three problem shapes
Treating "digitalisation in logistics" as one bucket obscures the fact that intralogistics, supply chain and last mile have fundamentally different bottlenecks.
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Intralogistics: WMS, pick-by-voice, automated conveyor systems. Bottleneck: the bridge to the ERP — stock drift, double postings, EDI breaks.
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Supply chain: supplier EDI, order triggering, track & trace. Bottleneck: data-format diversity — every partner runs its own EDIFACT dialect.
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Last mile: route planning, telematics, proof-of-delivery. Bottleneck: device robustness and shift acceptance, not software.
What the Bitkom data actually says — and what it doesn't
Six in ten use IoT, just under sixty percent run a WMS — but only one in seven (14 percent) uses a digital twin in production. That figure is the honest gap. One in five logistics companies uses AI. That sounds advanced — but it also means that 80 percent have no productive AI use case yet.
Regulatory layer: CSRD and CBAM force emissions data per shipment. Without a digital twin or structured tour logging, that becomes manual Excel. Digitalisation in logistics in 2026 is compliance, not just efficiency.
Where logistics projects fail — and why it is rarely the WMS
A southern German distribution service with around 240 employees rolled out a new WMS. The implementation ran cleanly, the system went live on time. Four weeks later the ERP showed a stock value that diverged from the WMS by more than seven percent. No one had tested the posting synchronisation — it had been parameterised as an interface, not modelled as a business rule. Six months passed before trust was restored.
Two things decide outcomes: the integration layer between WMS and ERP must be a modelling artefact in its own right — not appendix 4 of an interface document. The ERP backbone must stand before the initiative starts. A methodical ERP selection clarifies this layer up front.
What to do next
If you want to set up a logistics digitalisation initiative cleanly:
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Classify the initiative — intralogistics, supply chain or last mile — and stop treating them as one.
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Test the WMS–ERP integration layer as a separate modelling artefact before tool selection.
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Tie the project to your CSRD/CBAM roadmap — emissions data belongs in the same capture logic.
If you want to walk through these three steps for a concrete logistics initiative, we will sit through the integration layer with you in twenty minutes — before the WMS RFP is written.
FAQ
Six in ten logistics companies use IoT and 59 percent run a WMS (Bitkom). Digital-twin adoption is 14 percent, AI adoption 20 percent. 56 percent of the sector sees itself as a digital pioneer — economy-wide it is only 32 percent. The honest bottleneck is the integration between WMS and ERP, not the sensors.
CSRD and CBAM force emissions data capture per shipment. Without structured tour logging or a digital twin, that becomes a manual Excel exercise. Logistics digitalisation in 2026 is therefore a compliance story, not just an efficiency one — reporting logic belongs in the architecture.
The WMS–ERP integration layer — as a modelling artefact, not an appendix to the RFP. Plus the stock-posting synchronisation as a business rule: who posts when, who checks variances. And the CSRD reporting logic: which fields per shipment must be captured.