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Cegid Retail Uses AI to Transform Retail Operations

by Rachel Kim – Technology Editor

Cegid Retail⁤ Prioritizes Data-Driven Personalization,⁤ security as AI enthusiasm Cools

PARIS, FRANCE Cegid Retail is doubling‌ down on‍ practical applications of artificial intelligence, focusing on tools that empower sales associates with concise customer insights ⁣while together reinforcing robust security ⁢measures amid growing cyber threats. The company is currently developing an AI-powered⁤ enhancement to ⁣its Livestore tool, designed to analyse customer data and provide product recommendations, according to Nathalie Echinard, Cegid Retail‍ manager.

The move comes as the retail sector grapples ⁢with both the ​promise and potential pitfalls of AI. While excitement‌ surrounding the technology is high, concerns about security breaches, data ransomware, and the‌ proliferation of ultimately unusable AI tools are prompting a more cautious approach.Cegid’s strategy ⁢reflects this shift, prioritizing ‌solutions ‌that directly address client needs – particularly those of major luxury brands and‌ CAC40 companies – and ensuring data protection remains paramount.

Cegid’s forthcoming AI integration will present sales staff with a “6-8 word cloud” summarizing key customer information, enabling more personalized service without requiring constant tablet interaction. “After all,no one wants a sales assistant who remains immersed in the tablet,” Echinard explained. The company is also emphasizing its‍ commitment to security, with contractually mandated security updates taking precedence over other software releases. “When‌ our customers are major players in the luxury goods and CAC40 sectors, we take this‌ very⁤ seriously,” she stated.

Looking ahead, Cegid is preparing for the NRF trade show⁤ in paris (september 16-18) and⁢ the 2026 edition of Cegid Connections Retail in Prague. Echinard anticipates a more measured approach to AI adoption by that time, noting‍ the need for the industry to “stop going off in all directions.” A recent​ Gartner study supports this view, predicting that 40% of AI tools currently in development could be​ abandoned by 2027.

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