Enquant
Back to solutions
Order management use case

Allocating sales orders

An FMCG producer operates a complex network of production sites and warehouses to fulfill demand from modern retail outlets. Retailers submit orders for various product mixes, with delivery terms spanning partial to full truckloads.

Determining the best shipping location is a constant balancing act between specific order requirements and fluctuating inventory levels across the network. Furthermore, order timing serves as a critical lever to prioritize urgent fulfillment or delay lower-priority volumes when resources are tight.

The challenge

Plan and confirm customer deliveries after orders have been placed.

Where to deliver from?When?If shortage, how to allocate?

Why it is complex

  • Different customer SLAs
  • Thousands of SKUs, availability varying over time and across sites
  • Network capacities and transport costs

Business impact

  • Higher gross profit: prioritize orders
  • Increased satisfaction: secure service levels
  • Lower transport cost: minimize distances

How Enquant solves it

1

Model constraints

Turn master data into operational rules: customer SLAs, site and transport capacities, inventory profiles.

2

Click to optimize

Enquant's solver assigns the most profitable sourcing node and plans delivery dates, balancing service and costs.

3

Review & validate

Interactively evaluate lanes via maps and Gantt charts. Instantly check for potential stock-outs before releasing.

4

Execute seamlessly

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

Enquant order allocation table with planned delivery dates and quantities
Enquant Gantt view of confirmed customer deliveries across sourcing sites

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.

Start your POC
Enquant

Operational decision intelligence for supply chain.

All systems normal

© 2026 Enquant