Supply Chain Digital Twin
- Center of Gravity analysis
- Supply network planning
- Optimised material flows
- Interactive, browser-based optimisation
- Forecasting with Generative AI
W2MO · Digital Twin, powered by AI
Strategy. Planning.
Real-time.
One Digital Twin.
W2MO integrates what others keep apart: supply chain network, logistics planning and optimisation and camera-based AI real-time tracking on one platform — independent of equipment and automation vendors. Made in Munich.
Throughput
1,284/h
Picks · live
Utilisation
87%
Capacity
Variance
−4.2%
Plan vs. actual
Camera tracking · 24 objects
Latest
23 Jun 2026 Webinar · Digital Twin + GenAI
29 Jun 2026 Webinar · Ask Your Supply Chain
All dates → Three twins, one model
Strategy, planning and real-time — one twin, one source of truth.
Network-level planning feeds directly into the site layout. Layout decisions feed directly into real-time tracking. No gaps between models, no spreadsheet hand-offs, no complex interfaces — one platform, three layers.
Warehouse Digital Twin & Optimisation
- Design, planning, simulation & optimisation
- Algorithms: slotting, routing, container & capacity optimisation
- Process & warehouse-structure optimisation
- Workforce & wave planning
- Case-pack optimisation
Real-Time Twin
- Scan-free end-to-end tracking of goods and forklifts
- Always current and accurate inventory
- Fleet management for mixed fleets
- Workplace safety
- Camera-based — no tags, no UWB anchors
In practice
Examples from four industries, four proven outcomes.
No reference logos without a story. Each use case shows which problem was solved, with which module — and what was measured at the end.
E-commerce
Every item in the right place — recalculated every day.
High SKU diversity, volatile demand, tight cut-offs: advanced slotting and dynamic putaway move items to where they should be today — not where they were stowed a year ago.
−22 % Pick travel time
Read use case
FMCG No scans at the dock or in the process — yet every pallet uniquely accounted for.
FMCG warehouses ship hundreds of pallets a day against tight time windows. Camera-based AI tracking follows every pallet through the site and onto the truck — after a single initial capture.
0 Scans at the dock
Read use case
Beverages More pallet positions out of existing halls — without building.
Seasonal peaks, returnable flows, high turnover rates: your warehouse often has up to 25 % more capacity than you think — and your items are not where they should be.
+25 % Pallet-position capacity
Read use case
Pharma The right medicine at the right location.
Find sites, assign customers, place products — in an industry where cold chain, regulation and lead time are non-negotiable. Supply chain engineering on live data.
−15 % Network costs
Read use case
About us
15 years in practice. In numbers.
W2MO has been in operation for more than 15 years. Every optimisation we show is based on a real, deployed project — no benchmarks, no demo scenarios.
30,000+
Professional users
Planners, operators and consultants who work with W2MO every day.
500+
Consulting projects
From site analyses to greenfield layouts and rollouts.
15+
Years in practice
Continuous development, grown from real logistics problems.
Industries 3PL Automotive Chemical Consulting E-Commerce Electronics Fashion FMCG Food & Beverage Pharma Retail
Selected customers
ACA MÜLLER
ADAG PHARMA
ADAG PHARMA
ADIDAS
BEIERSDORF
COCA·COLA EP
DENNER
DHL
DIGITEC GALAXUS AG
HEINEKEN
KATOEN NATIE
MÜLLER SERVICE GMBH
PFEIFER & LANGEN
PHARMLOG
QUEHENBERGER
STABILO
SWAROVSKI
UHU
WILO
WÜRTH
Generative AI · in production, not on the roadmap
Talk to your logistics operations — inside the digital twin.
W2MO is LLM-agnostic: Claude, ChatGPT, Gemini — or your own model. Via an MCP server you connect what already runs in-house. Answers come from the live twin, not from training data.
Claude ChatGPT Gemini Your own LLM · via MCP
The difference
The market separates what belongs together.
Some do strategic network planning. Others only warehouse simulation. Others still do real-time tracking with tags or UWB. And then there are vendors whose twin quietly sells their own equipment in the background.
W2MO integrates what others keep apart — and that is exactly the point.
“Every decision, from site to single pallet, on the same model — that is something no other vendor offers in a single product.”
Head of Logistics · industrial customer
Comparison dimension Logivations W2MO Typical competition
Coverage
Strategy + planning + real-time
Usually only one area
Tracking technology
Camera + AI, no tags
UWB tags or LiDAR
Infrastructure required
No anchors, no UWB networks
Site-wide cabling
LLM integration
LLM-agnostic via MCP — incl. Claude, ChatGPT, Gemini
Roadmap or Copilot pilot
Equipment neutrality
No equipment sales interest
Often tied to automation
Deployment
Cloud or on-premise
Mostly cloud-only
News & Events
All posts → Latest from engineering, roll-outs and events.
Digital Twin + GenAI: Your future logistics consultant
Live webinar on 23 June at 10:00 CEST: how the W2MO MCP server connects Claude, ChatGPT and Gemini directly to the Digital Twin — with live use cases for layout optimisation, KPI analytics and master data.
Register now →
Claude, ChatGPT & Gemini directly inside W2MO
In production from LogiMAT 2026: natural-language queries on the live twin — competitors mostly have this only on the roadmap.
Read announcement →
Greenfield layout for an FMCG customer: −18% travel time
How a 45,000-m² rollout was modelled and simulated with W2MO and went live 14 weeks earlier than originally planned.
Read reference →
Customer voice
“We query W2MO without leaving our LLM — via MCP. That lets us answer in hours what used to take a two-week consulting engagement.”
Head of Supply Chain Analytics · industrial group, DACH
Next step
See your digital twin in action.
In 60 minutes we show W2MO on an example from your industry — with your typical flows and KPIs. No slides, the real twin.