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Material flow use case

Reverse logistics

A logistics provider manages an expansive fleet of reusable assets, such as pallets and cages, leased across a diverse client base. Rebalancing these materials throughout the joint network requires constant orchestration. Surplus stock must be retrieved and redistributed to meet shifting demand, often requiring intermediate storage when timing misaligns. Additionally, assets frequently require maintenance — including cleaning or repairs — to ensure they are ready for redeployment.

Determining the exact collection schedule, selecting optimal storage nodes, and mapping the most efficient network routes are critical operational choices that define service reliability and cost.

The challenge

Get customers' returned goods (e.g. pallets) back into the network efficiently for reuse.

When to collect?How to route?Where to store?

Why it is complex

  • Multi-dimensional: SKUs, locations, time
  • Different transport modes and tariffs
  • Customer SLAs, site storage and handling capacities

Business impact

  • Higher service level: prevent stockouts
  • Lower freight spend: eliminate empty / unnecessary miles
  • Reduced holding costs: optimize inventory

How Enquant solves it

1

Model constraints

Turn master data into operational rules: location calendars, lane tariffs, storage limits, stock targets.

2

Click to optimize

Enquant's solver generates multi-day stock transfer plans (STOs) balancing service levels and logistics costs.

3

Review & validate

Interactively evaluate STOs via maps and Gantt charts. Instantly spot bottleneck risks before release.

4

Execute seamlessly

Integration pushes approved STOs back to your ERP for execution, continuously adjusting to real-time delays.

Enquant planning table of demand and supply transactions across the network
Enquant map and Gantt view of stock transfer orders between network nodes

See it on your data

We'll model your domain in the POC and show you optimal decisions on your own planning horizon — for free.

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