Optimise stock across locations and echelons, increasing your downstream availability
Balance central and local inventory
In multi-location environments, deciding where to hold stock has a major impact on both availability and cost.
Stocking parts closer to customers improves service levels, but increases total inventory value. Centralised stock reduces inventory, but may increase delivery times.
Lanza helps you find the optimal balance between central and local stock levels, ensuring strong downstream performance complying to your client’s SLA, without unnecessary inventory in your network.
Optimise your entire network as one system
Instead of optimising each location individually, Lanza evaluates your entire network as a connected system.
Using Multi-Echelon Optimisation (MEO), Lanza determines the most effective stock distribution across locations, taking into account:
- Service level targets (downstream but also on hub level)
- Lead times between locations
- Demand patterns per location
This allows you to improve performance across the full supply network instead of optimising locations in isolation.
Combine direct and downstream demand
In a multi-location network, demand does not only come from end customers. Upstream locations also supply parts to other locations.
Lanza distinguishes between:
- Direct demand from end customers
- Downstream demand from internal locations
By incorporating both demand streams, Lanza ensures that stock decisions reflect the full dynamics of your supply network.
Optimise your entire network as one system
Optimising stock across your network allows you to:
- Improve downstream availability across locations
- Reduce duplicated stock
- Lower total inventory value
- Increase flexibility in distribution
Multi-Echelon Optimisation enables you to serve customers faster while maintaining control over inventory costs.
See how network optimisation improves global spare parts performance
Discover how Lanza helps you optimise stock across multiple locations and improve service levels without increasing inventory.
