Retail, Consumer Goods

Reinventing retail through strategy, data, and AI

The retail and consumer goods sectors are undergoing a profound transformation, driven by consumers’ demand for immediacy, increasing pressure on margins, the shift to omnichannel experiences, and the rapid growth of first-party data. Data and AI have become the foundation for gaining deeper customer insights, improving operational efficiency, and unlocking new growth opportunities.

The purchase journey has fragmented across physical stores, e-commerce, marketplaces, and social media. Reconciling these signals into a unified customer view has become a prerequisite for personalizing experience, driving loyalty, and optimizing media investments.
In a context of inflationary pressure and margin tension, AI is emerging as a decisive efficiency lever : demand forecasting, stock and supply chain optimization, dynamic pricing and promotions, automation of in-store and HQ tasks.
The end of third-party cookies and the growing value of first-party data are opening new monetization streams, retail media leading the way, transforming distributors and brands into full-fledged media players. Generative AI is already reshaping customer relationships, content production, and catalog management.
Yet these opportunities are met with persistent challenges : high tech debt, fragmented information systems (ERP, CRM, POS, e-commerce), and uneven data maturity across functions. The transformation is as much organizational, cultural, and governance-related as it is technical.

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Global strategic support :

Definition and revision of strategic plans (growth, omnichannel, expansion)
Framing of transformation projects : modernization, reorganization, digitalization
Steering of complex programs involving multiple stakeholders (brands, retail partners, retail media partners, tech providers)

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Network of interconnected transparent green cubes on a black background representing blockchain or data connections.

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Data & AI-focused strategic support :

Creation of data & AI strategies aligned with business priorities (customer knowledge, supply, pricing, retail media)
Prioritization of use cases and roadmap construction
Framing of AI development projects and data & software architecture design
First-party data monetization structuring (retail media, partnerships)
Development of AI use cases addressing sector challenges: personalization, demand forecasting, price and promotion optimization, customer relationship automation

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Related clients

“Today’s consumers expect an experience that is immediate, personalized, and omnichannel, in a market where every margin point matters. Data and AI are the only levers capable of delivering on this dual promise: providing a better customer experience while driving greater operational efficiency.”

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Valentin Petitjean - Principal - eleven