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Transportation use case

Planning optimal trips (last-mile delivery)

Serving a diverse network of retail outlets, restaurants, and bars, a beverage distributor manages a high-volume delivery landscape. This varied customer base demands a precise approach to site-specific constraints, from narrow delivery windows and limited parking to specialized unloading requirements — whether mechanized or performed by hand.

The operation relies on a multi-node warehouse network, utilizing a dedicated fleet and in-house personnel to maintain service reliability across the territory.

Daily orders must be orchestrated into optimal shipments, assigning the right vehicle and crew while sequencing stops to minimize total mileage without violating strict customer timing protocols.

The challenge

Fulfill a large number of customer deliveries using a fleet of dedicated trucks.

Which deliveries in a trip?What truck and crew to assign?How to sequence the stops?

Why it is complex

  • Customers' opening hours, access restrictions
  • Different vehicle types and unloading equipment
  • Crew sizes, shift preferences and overtime

Business impact

  • Higher service level: gain delivery time compliance
  • Lower transport cost: shorten distances, reduce fuel
  • Sweat the assets: increase utilization, reduce fleet size

How Enquant solves it

1

Model constraints

Turn master data into operational rules: delivery windows, parking restrictions, truck capacity, crew shifts.

2

Click to optimize

Enquant's solver builds orders into trips and sequences stops, securing SLA at lowest total cost.

3

Review & validate

Interactively evaluate routes via maps and Gantt charts. Instantly anticipate potential risks before release.

4

Execute seamlessly

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

Enquant truck list with capacity utilization and schedule Gantt
Enquant trip map with sequenced delivery stops and transaction details

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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