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.
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, capacity optimisation
- Process & warehouse-structure optimisation
- Workforce & wave planning
- Case-pack optimisation
Real-Time Digital 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 five industries, five 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.
Retail
Your store network is changing — does your DC have to change?
How many more stores can your existing DC supply? The Digital Twin reveals the hidden throughput — through better structure, simulated processes and store-friendly picking — before you invest in a second DC.
+20 % Throughput
Read use case
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.
Visit to BRUMMER Logistik
The event is intended for companies that would like to see the mobile robot Pixel PT working together with our innovative software solutions in live operation.
Learn more →
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.