ova
A truck on an open road at dusk.

Food manufacturing

Truck tours planned from the day's orders

Delivery rounds proposed automatically from open orders, while the transport planner keeps the final say.

All use cases

The problem

Deliveries are planned on paper, by experience, in fixed rounds per day and region. Each truck has a limit on pallets and stops, and every stop takes unloading time.

Order weight isn't visible in the ERP, so the planner has to estimate how much fits on a truck. That knowledge sits with a few people, and a conflict often only shows up when the truck is being loaded.

The journey

  1. Orders are ready

    Your systems

    Open orders for the coming days are read from the ERP.

  2. Load is calculated

    Nova

    Weight and pallets per order are worked out from the item data.

  3. A proposal per round

    Nova

    Orders are bundled within the fixed rounds, respecting the limits on pallets, stops and unloading time.

  4. Conflicts are flagged

    Nova

    A round that doesn't fit is shown with the reason, rather than solved silently.

  5. The planner decides

    Your team

    The planner moves orders between rounds, chooses route and driver, and confirms.

  6. Customer time slots stay manual

    Your team

    Delivery slots at large customers are still booked by the team, based on the confirmed plan.

Nova's solution direction

  • Proposals, not a black box

    Every round shows why orders were combined, so the planner can check and adjust it quickly.

  • Your rules made explicit

    Limits and regional rounds move from people's heads into rules the team can see and change.

  • Built on your order data

    The ERP remains the source of truth. Nova adds the planning layer on top of it.

  • Proven before it grows

    A prototype is measured against real planning days, with a yardstick agreed upfront.

Anonymised use case, based on a real brief in our studio. Names and identifying details have been left out. It describes a solution direction, not a measured result.

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