Luxury retail: How agentic AI allows “the right person at the right place at the right time”

What if store managers could steer their objectives, stock, and teams in a few clicks? Thanks to an innovative agentic AI approach developed by Ekimetrics, luxury Maisons now have access to a concrete lever to balance commercial performance and operational excellence—without a major overhaul of their systems.

The challenge: How to align sales, stock, and teams in a shifting environment?

The wrong assortment is costly: it creates unsold items, demotivates teams, and weakens the margin. And this challenge is all the more complex given that luxury retail operates in a highly unstable environment characterized by fluctuations in traffic, significant seasonal variations, local constraints (roadworks, weather, events), not to mention peaks linked to launches or public holidays.

The challenge is twofold:

• Set the right turnover objectives for each store and product category
• Ensure teams are the right size to reach objectives in the best conditions

Yet current management solutions for stores and teams are often complex, inflexible, and time-consuming to deploy. As a result, local decisions are still too often made via Excel files.

The approach: An agentic IA embedded in workflows

Given this observation, Ekimetrics developed a decision-support AI agent dedicated to steering store operations. The concept: Allow a store manager to communicate in natural language with an AI agent that aggregates all relevant data—sales, stock, traffic, individual performance, weather, events—and provides a concrete action plan.

“Agentic AI enables the elimination of software complexity. The manager no longer has to navigate through ten spreadsheets: They ask a question, AI replies with actionable recommendations.”

Pierre Biousse, Head of GenAI Offer, Ekimetrics

The agent can:

• Recommend a realistic daily sales objective by category, by integrating local constraints, the group’s key commercial moments, and sales history
• Simulate different staffing scenarios according to sales assistants’ availability and skills
• Follow key performance indicators—turnover, conversion, average shopping cart—and help managers to adjust their strategy throughout the day to stay aligned with their objectives

Three game-changing levers

1. The right person

The AI agent identifies the optimal combination of teams for each key period, according to sales assistants’ availability, performance, and skills. During the Chinese Golden Week, for example, it automatically recommends Chinese-speaking profiles to welcome Asian customers, ensuring a premium and frictionless customer experience. Assistant managers save considerable planning time and can focus on team development.

2. The right place

By linking sales forecasts to stock levels, the solution aligns product availability with the commercial dynamics of each point of sale. Stores can therefore better anticipate needs, minimize unsold items, and strengthen the consistency between turnover objectives and the reality on the ground. This integrated steering of sales and inventory is one of the main operational efficiency levers.

To dive deeper into this approach, find out how AI optimizes the assortments of the watchmakers Jaeger-LeCoultre and IWC by automatically deploying the right items according to each store’s profile. Read the article on assortment.

3. The right time

AI helps store managers adjust their turnover targets throughout the month based on seasonality, sales history, new product launches, and market signals: traffic, local events, or commercial operations. It allows a global objective—for example, reaching a million euros in the month—to be translated into realistic, better-balanced, and more relevant daily and category-specific objectives. The manager is no longer subject to external contingencies: They incorporate them into their steering strategy.

Ekimetrics’ three-step methodology

1. Business diagnosis: identification of the main operational friction points (poorly calibrated objectives, manual planning, and underutilization of local data).

2. Data framing: progressive integration of internal and external data in a secure and scalable environment (Azure + OpenAI suite).

3. Agile prototyping: a first operational version can be deployed in less than three months, allowing managers to experience the value generated in practice.

“What attracts our clients is the capacity to act quickly, without a major overhaul. Agentic AI allows them to move forward at their own pace, pragmatically and measurably.”

Margaux Mille, Senior Manager, Sales, Luxury & Beauty Industry Lead, Ekimetrics

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Agentic AI does not replace human know-how: it reinforces it. It paves the way for a smoother, smarter, more sustainable retail where each employee—from the sales assistant to the manager—can concentrate on what really makes the difference: customer relations and the art of selling.

This approach heralds a wider transformation in the sector: one of a luxury that reconciles operational excellence and technological agility, without sacrificing its identity.

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What if agentic AI also redesigned how to measure performance? Find out how Ekimetrics applies this approach to Marketing Mix Modeling, to make marketing effectiveness measurement smarter, smoother, and truly data-driven: Read the article and watch the video.