Reduce the equivalent of 8,000 truck trips per year through logistics AI

What was done

On October 18, 2024, Le Journal de l'Automobile interviewed Frédéric Vincent, DSI and director of digital technology at Renault Group, on the sidelines of the World Auto Show. On the tangible benefits, including logistics, he said: "The artificial intelligence saves 8,000 truck trips a year. He added: "Overall, we have significant gains in energy consumption and emission of polluting gases. The manufacturer has been working for a delay on a digital twin of its industrial processes, with two announced guidelines: duplicate all operational information on servers by the end of 2025, and a "full interaction with the AI" by the end of 2027, as part of the "AI The temperamental leader: "There is still a significant error rate, the effects of hallucination of the machine that misinterprets some information.He insists on the training of collaborators in the prompt, without a vocation to replace them. The article doesn't describe the precise mechanism (filling, turning, forecasting) which produces the savings of 8,000 trips.

Before you start

Tool cited by the source: IA logistique (Renault Group); other tools cited: Gemini. Gather the information the prompt asks for. 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

   Gather the information described in the prompt.

2. 02

   Adapt the prompt

   Copy the prompt below, replace the bracketed items, then paste it into Gemini.

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.

Logistics flow to be examined: Tour or loading data:

1. Identify routes or loads that appear sub-optimal from the data provided only.
2. Proposed tracks (grouping, frequency, filling) presenting them as assumptions to be encrypted.
3. Lists the missing data to estimate a number of saved trips.
Invent no saved kilometer.

What deserves your attention