Optimize truck tours and filling from a single database

What was done

In an interview published on 21 November 2024 by L-Officiel des Transporteurs, François Bottin, Director of Digital and Technology at Geodis, states that an AI strategy has been in place for three years and is beginning to bear fruit. The SNCF subsidiary can "turn intelligent algorithms in its centralized historical database to optimize its towers, better fill its trucks, speed up response to tenders or identify default customers". He listed that tour optimization had been in place for a long time, but that it faced the cost of calculation and data quality; Geodis has invested since 2021 in a data platform to collect and qualify data.He evokes a tour optimization algorithm that allows you to choose according to several criteria, "for example by favouring the optimization of CO2 emissions from a turn".This case is distinct from the use always recorded, which concerns the classification of computer media tickets.

Before you start

Tool cited by the source: Algorithmes d’optimisation (Geodis). Fill in the bracketed items: [coller]. Strip confidential data that is not needed and check your tool’s access terms. Features and plans can change.

The method, in three steps.

1. 01

   Gather the context

   Spot the bracketed items in the prompt ([coller]) and prepare what they ask for.

2. 02

   Adapt the prompt

   Copy the prompt below, replace the bracketed items, then paste it into the AI assistant you use. The cited tool (Algorithmes d’optimisation (Geodis)) is not necessarily available to the public..

3. 03

   Reread before using

   Reread the result, correct it if needed and keep the final decision. Caveats are detailed below.

Your starting point.

Replace the bracketed items, then adapt the proposal to your situation. This prompt is written by the iadujour desk It is not a quotation from the source.

Turns to build. Constraints (time windows, capacities, addresses, CO2 priority or delay): [coller]. Today's requests: [coller].

1. Proposes a tour plan, explaining the criterion.
2. Report the constraints you could not meet and the deliveries left behind.
3. Gives two variants (plus rapide / less emissive) if data allow.
Do not invent any travel time or traffic restrictions.

What deserves your attention