Kardinal Transport
Postal & Parcel Delivery
The Post & Parcel industry is facing many challenges as it has to collect, transport and deliver large quantities of mail and parcels.
Market players are structured in national networks, which are strongly challenged by the growth of e-commerce and its highly changing volumes. At the same time, customer expectations are rising, both in terms of service quality and environmental impact.
As a result, post & parcel delivery players must operate on a growing market under the pressure of new, stronger constraints, challenging their very profitability.
Case study
DPD France optimizes the sectorization of its delivery centers and its routes with Kardinal.
Use cases
Use cases for post and parcel delivery
National territory optimization
Design the optimal territory organization for the entire country. Simulate opening or closing delivery centers or sub-depots.
Fleet sizing and fleet conversion
Visualize the impact of new vehicles (e.g. electric vehicles) on your operations by creating simulations to make data-driven decisions about your fleet.
Sectorization of a delivery center's territory
Design the optimal territory split for a delivery center area based on historical parcel counts and given operational constraints.
Parcel picking and sorting
Help pickers sort packages as they are scanned to save time and increase productivity.
Subcontractor pricing
Get detailed estimates of your subcontractors' cost structure to buy transport at the right price.
Route sequencing
Generate the optimal route after each driver scans the packages to reduce costs and improve service quality.
Operational constraints
Handle the constraints specific to post and parcel delivery.
From the expected baseline to the signature rules almost no one can model, pick a level to see what the optimization accounts for.
Time windows
Hard opening hours and soft customer slots on the same stop, both respected.
Capacity
Weight, volume, and custom limits, like a cap on high-value goods per vehicle.
Pickups and deliveries
Deliveries, pickups, and paired pickup-delivery all live in the same route.
Last-mile vehicle profiles
Bikes, walkers, vans: the right vehicle type for each leg of the city.
Driver breaks
Breaks placed inside the shift on the window you define.
Route balancing
Working time evenly spread across routes, no driver stuck with the long one.
Predictive traffic
Forecast traffic baked in before optimizing, not patched after the fact.
Deferred pickups
Pickups loaded only once the truck has room and order, not before.
Preferred zones
Drivers softly tied to their usual area, auto-rebalanced when it overflows.
Benchmark
Compare our coverage to the competition.
Our benchmark pits 149 real business constraints against 10 competing routing APIs, sector by sector. Parcel and express delivery gets its own breakdown, and every result is verifiable at the source.
How we fit in
Built to fit the way post and parcel delivery players are organized.
Parcel delivery companies have divided their optimization process into two stages:
- a dispatch stage: distributing parcels into predefined areas
- a sequencing stage within each area, different each day
Managed by the depot manager, the Kardinal platform handles the dispatch stage using its territory optimization module.
The day-to-day sequencing of the routes is managed by our route optimization API module and our mobile app.