cold chain delivery

Kardinal Transport

Cold Chain Transport

Use cases

Use cases for fresh and perishable goods delivery

01

Freshness-constrained scheduling

Based on the orders to be delivered and each product's shelf life, our algorithms build routes that respect freshness deadlines, while keeping costs and productivity under control.

02

Predictive ETA and cold chain

Based on scheduled routes, our algorithms calculate predictive arrival times to coordinate handoff at cold storage facilities or with the end customer and limit cold chain breaks.

03

Real-time adjustments

As deliveries unfold, in the event of unexpected delays, our algorithm continuously recalculates the best route adjustments, taking into account traffic and driver conditions, to preserve product quality.

04

Multi-temperature optimization

When a single vehicle carries frozen, chilled and ambient products, our algorithms build routes that account for temperature compartments and their specific constraints.

Operational constraints

Handle the constraints specific to cold-chain last-mile delivery.

From the expected baseline to the signature rules almost no one can model, pick a level to see what the optimization accounts for.

Classic

Time windows

Hard opening hours and soft customer slots on the same stop, both respected.

Classic

Multi-dimension capacity

Weight, volume and pallet count: every truck limit is respected at once.

Classic

Working time

Breaks, paid overtime, and shift limits handled inside the route.

Benchmark

Compare our coverage to the competition.

Our benchmark pits 149 real business constraints against 10 competing routing APIs, sector by sector. Cold-chain delivery gets its own breakdown, and every result is verifiable at the source.

See the full benchmark

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Resources