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.

Book a live demo → Calculate ROI →

30,000+ users 500+ projects SAP & NVIDIA partner

Latest

17 Aug 2026 Webinar · Digitaler Zwilling + GenAI

26 Aug 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.

Network design in W2MO — sites, customers and routes on a map of Europe

Supply Chain Digital Twin

Center of Gravity analysis
Supply network planning
Optimised material flows
Interactive, browser-based optimisation
Forecasting with Generative AI

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 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

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

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

W2MO Assistant chat inside the digital twin

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

Latest from engineering, roll-outs and events.

All posts →

Digital Twin and GenAI as your future logistics consultant

Webinar17 August 2026Online

Digitaler Zwilling + GenAI: Ihr zukünftiger Logistikberater

Live webinar on 17 August at 10:00 CEST (in German): how the W2MO MCP Server connects Claude, ChatGPT and Gemini directly to your Digital Twin — with live use cases for on-demand training, KPI analysis, scenario generation and layout optimization.