Location & Network Structure
How many locations does your business need – and where? Greenfield analysis and the evaluation of your existing network reveal which sites drive value and which simply tie up fixed costs.
Locations, inventory tiers, transport lanes – and every single storage position within the warehouse: Much of this has evolved organically over time rather than being strategically planned. We use data-driven modeling to determine how your network and warehouses should be configured if you were designing them from scratch today – and we simulate every modification before it incurs any costs.
Three levels, one toolkit: network, warehousing, and decision-making foundations. Every measure is modeled in W2MO and evaluated in terms of costs, service levels, and transit times – enabling you to make decisions based on data, not guesswork.
How many locations does your business need – and where? Greenfield analysis and the evaluation of your existing network reveal which sites drive value and which simply tie up fixed costs.
Direct delivery, hub concept, milk run, modal split, and frequencies: We design transport networks to maintain service levels while measurably reducing freight costs and CO₂ emissions.
Centralization reduces inventory and structural costs, while decentralization shortens delivery times. We quantify this trade-off SKU by SKU for your product range – rather than negotiating it in a boardroom.
Zoning, picking principles, and material flow are modeled and optimized in 3D within W2MO – establishing the foundational framework required for automation and slotting to achieve maximum efficiency.
Item access frequencies are constantly changing—static slotting results in increased travel times. W2MO optimizes slotting periodically or in real time using camera-based systems, ensuring fast-moving items are always placed where travel distances are shortest.
No changes without proof: network configurations, layouts, and slotting strategies are simulated in advance. Throughput, travel times, and bottlenecks become visible before any capital is committed, significantly reducing the risk of costly misinvestments.
How much inventory needs to be held where to balance service levels and working capital? We calculate this down to the SKU level—including safety stocks, ABC/XYZ analysis, and centralization effects.
As a consulting partner of Logivations, we model your network in W2MO: scenarios are calculated in days instead of weeks – transparent, repeatable, and easily maintainable by your own team going forward.
Investments, savings, transition costs, and risks consolidated into a decision memo featuring a realistic migration path—calculated rather than estimated, and fully defensible before the executive board and board of directors.
Shipment, inventory, and cost data are cleansed and mapped in the model as the current state – providing a single source of truth.
Location variants, inventory tiers, and transport concepts are modeled and evaluated, including sensitivities for growth and cost development.
Comparison of costs, service levels, risks, and feasibility; clear recommendations backed by a solid business case rather than a slide deck.
Upon request, we oversee the implementation process: facility setup, relocations, and service provider transitions – until your target network is fully operational.
At the core: shipment data (who, what, destination, frequency), inventory, and cost data for 12 months. The data does not need to be flawless – data cleansing is part of the project.
A focused study comprising a baseline model and three to five scenarios typically takes 6–10 weeks, depending on data availability and network complexity.
Yes – often exceptionally so: The study reveals whether investments are worthwhile in the first place or if optimizing the existing network (routes, service providers, inventory distribution) unlocks the majority of the potential.
Because access patterns are constantly evolving: seasonal items, product range updates, and shifting demand turn yesterday's fast mover into tomorrow's slow mover. When slotting remains static, travel times increase month after month. That is why we rely on regular or live, camera-based re-slotting using W2MO—simulating in advance exactly how much travel time each reconfiguration saves.
Yes. The system evaluates objects, inventory, and material flows—not individuals: employees are automatically pixelated or anonymized by default, and no personal performance evaluation takes place. This allows the solution to be implemented in compliance with data protection regulations such as the GDPR; the early involvement of data protection officers and employee representatives is an integral part of our implementation process.
Logivations' W2MO is a leading platform for network and warehouse optimization. As a consultancy partner, we use it to model scenarios quickly, transparently, and repeatably – providing you with results that you can independently maintain and update going forward.
In our complimentary initial consultation, we determine whether a network study is the right investment for your organization – and what data would be required to conduct it.
Book a free Discovery Call now →Or directly: info@logibridgex.ch · +41 44 774 11 01