Agentic AI is transforming retail by automating operational decision-making, but its effectiveness depends above all on the quality of data and governance set up by retailers.

Artificial intelligence is no longer a trend retailers need to anticipate, it is already reshaping the industry. Today, this shift is accelerating with the emergence of AI agents: systems capable not only of analyzing and recommending, but also of planning, acting, and learning autonomously.

The pace is fast. According to Gartner, projects related to agentic AI grew by more than 750% in 2024, and by 2029, half of operational decisions in companies will be made autonomously by intelligent agents, compared to just 20% today. For retailers, the question is no longer whether this transformation is coming, but how to get onboard now.

Retail: the ideal ground for Agentic AI

Retail is arguably the most fertile sector for this transformation. Every day, retailers juggle thousands of decisions:

• what quantities to produce

• how to allocate inventory

• when to trigger promotions

• how to negotiate supplier terms

These repetitive and time-sensitive decisions are exactly the type of situations where AI agents excel. By interacting with one another, these agents can even coordinate multiple functions such as planning, sourcing and merchandising, eliminating silos and streamlining decision flows.

The difference will no longer come from tools, but from foundations

For years, technology competition has focused on features — richer tools, faster updates, more advanced dashboards. That era is ending.

The new competitive edge no longer lies in the software itself, but in the foundation it relies on: data and governance.

AI agents do not create value out of thin air. They amplify the quality of the data they consume. If that data is incomplete or fragmented, AI amplifies the errors. If it is consistent, connected, and accessible, AI turns it into actionable decisions.

Reinventing the human–machine relationship

The rise of AI agents is not about replacing people, but expanding their scope of action. By handing off repetitive or time-consuming tasks, teams can focus on strategy, creativity, and customer relationships.

But this change is as much cultural as organizational: it means shifting from tool-driven operations to decision-driven operations.

To get ahead, retailers must first unify their data foundations so that products, stock and suppliers finally “speak the same language” across all systems. They must then clarify data governance to eliminate grey areas.

Above all, teams must be trained for a new form of collaboration where humans remain the strategists, and AI becomes the execution partner.

What will retail look like tomorrow?

Inventory and replenishment will be the first areas transformed. Agents will continuously monitor stock levels, anticipate shortages, and trigger supplier orders autonomously. Human intervention will only be required for strategic exceptions.

Pricing and promotions will follow the same logic. Agents will analyze competition, margins, and inventory in real time and continuously adjust prices. They will test, learn, and optimize without interruption.

But the real breakthrough will come from cross-functional coordination.
Planning agents will communicate with sourcing and merchandising agents to synchronize decisions. A shift in trend observed in-store will instantly feed production decisions, radically increasing responsiveness.

In the end, AI is not a wave to surf, but a current that tests the strength of the foundations

In this transition, the retailers that go furthest will not be the fastest adopters, but the ones that build on clear and controlled foundations.