Optimize inventory targets across the network—with AI-driven MEIO

Define optimal inventory targets across your entire supply chain. Balance service levels, inventory costs and demand uncertainty using probabilistic, network-wide optimization.

Balance service levels and inventory costs across the network

Inventory decisions are always a trade-off.

Service-driven inventory targets

Define inventory targets directly linked to service level  objectives—not arbitrary safety stock rules.

Lower inventory, same service

Reduce excess inventory and working capital while  improving customer service performance.

“Our target of reducing inventory value by 1 million euros was ambitious, yet Flowlity has played a crucial role in achieving this success. We felt heard as the Flowlity team took into account our experience and supported us at each stage of the process.”

Rodolphe Kautzmann

Purchasing Manager at Ukal

Ukal, agricultural equipment supplier using Flowlity planning software

Optimize inventory positioning across all echelons

Inventory must work as a system—not node by node.

Network-wide inventory optimization

Optimize inventory targets simultaneously across plants, central warehouses and regional distribution centers.

Coherent buffers across the supply chain

Avoid overstocking upstream while protecting downstream service with globally consistent inventory policies.

Set realistic inventory targets under demand uncertainty

Averages are not enough.

Probabilistic safety stock optimization

Calculate safety stocks based on demand variability, lead time uncertainty and service objectives—not deterministic assumptions.

Scenario simulation before committing

Simulate the impact of changes in demand, service targets or lead times before updating inventory policies.

From local inventory rules to true multi-echelon optimization

Traditional inventory planning

Node-by-node safety stocks

Deterministic assumptions

Excess buffers everywhere

Service targets disconnected from stock

Limited scenario analysis

Flowlity MEIO

Network-wide optimization

Probabilistic demand modeling

Right inventory, right place

Service-driven inventory policies

Live what-if simulations