Rethinking transport operations in the AI era: how we supported Jacky Perrenot

Qolaig supports Jacky Perrenot’s Executive Committee in identifying how AI can transform its operations

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If you have ever ordered furniture from IKEA, there is a good chance it passed through Jacky Perrenot.

This summer, Qolaig supported the Executive Committee of Jacky Perrenot, a European leader in transport solutions, through a workshop dedicated to Claude and generative AI.

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The objective was twofold:

→ understand concretely what generative AI tools can already do today
→ identify how AI could transform some of the group’s processes and operations tomorrow

We worked on very practical use cases: information search and synthesis, document analysis, emails, Excel, content production, task automation, and initial uses of AI agents.

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But the underlying question went much further:

How do you move from an individual productivity tool to real use cases embedded into the company’s operations?

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This is often the starting point of a successful AI transformation: first give leaders a practical understanding of AI’s capabilities and limitations, then identify with them which business processes should be redesigned as a priority.

The goal is not to multiply tools, but to start from real operations, business pain points, and low-value tasks to identify high-impact use cases.

Thank you to Xavier Fraval and the Jacky Perrenot teams for their trust.

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FAQ

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Why start with the Executive Committee before deploying AI solutions?

Because AI transformation is not simply about choosing a tool. Leaders first need to understand concretely what AI can do, where its limitations are, and then identify the business processes where it can create real value.

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What types of AI use cases can be identified in transport and logistics?

There are many opportunities: document analysis and processing, information retrieval, automation of administrative tasks, support for operational teams, data analysis, and the deployment of AI agents embedded into business processes.

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Is the objective simply to train employees on generative AI tools?

No. Training and AI awareness are only the first step. The objective is then to move from individual productivity use cases to solutions directly embedded into the company’s operations.

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Do existing business tools need to be replaced to integrate AI?

Not necessarily. In most cases, the approach is to connect AI to the tools and data already used by teams, then automate or redesign specific steps in the process without imposing a new platform.

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How do you choose which processes to transform first?

Start with the main business pain points: repetitive tasks, high volumes, duplicate data entry, information retrieval, manual controls, or decisions that consume significant time. Use cases can then be prioritized based on impact, feasibility, and potential return on investment.