An artificial intelligence keynote for commerce, e-commerce and distribution. Romain Rissoan shows how AI personalises the customer experience, sharpens forecasts, optimises stock levels and boosts team productivity.
Between the pressure of pure-play operators, the inescapable reality of omnichannel and ever-rising customer expectations for personalisation, retail must exploit its data as never before. Artificial intelligence sits at the heart of this battle for customer experience: it is what makes it possible to put the right product in front of the right customer at the right moment — and to deliver on that promise at scale. For retailers, the question is no longer whether to act, but how to act quickly and effectively.
This AI keynote for retail illustrates the highest-impact use cases with real-world examples: recommendation and personalisation, demand forecasting, large-scale product content generation, and sales assistants. Romain Rissoan also highlights team productivity — both in-store and at head office — because generative AI is equally transforming the day-to-day work of marketing, buying and customer service.
The presentation is designed for commercial, marketing and e-commerce directors as well as front-line teams. The goal is to connect data, personalisation and customer experience in a clear, actionable way — pinpointing where to start, which use cases unlock the most value, and how to make data flow across channels for a genuinely omnichannel experience.
Use cases spanning the shop floor to e-commerce.
By analysing purchase history, browsing behaviour and context, AI surfaces the most relevant product for each customer — online and in-store. Conversion rates and average basket values rise, the experience becomes more fluid and engaging, and customers feel recognised and understood. That sense of recognition is as powerful a driver of loyalty as it is of sales.
AI sharpens sales forecasts by incorporating seasonality, weather, trends and promotional activity, right down to individual product and store level. Retailers optimise stock, replenishment and promotional planning, reduce both out-of-stocks and markdowns, and improve both product availability and profitability in one move.
Generating thousands of product descriptions, copy variants and marketing assets — adapted by channel and audience — becomes possible in a fraction of the usual time. Teams enrich their catalogues faster, improve organic search rankings and ensure a consistent presentation across every customer touchpoint.
An AI co-pilot equips in-store advisers and customer service teams with instant product information, recommendations, answers to queries and access to customer history. Sales staff gain in confidence and relevance, customer service handles requests more quickly, and the experience stays consistent regardless of which channel the customer chooses.
Analysing sales data, competitor activity and demand patterns allows prices, promotions and assortments to be adjusted dynamically and profitably. Retailers respond faster to market shifts, protect their margins and present each store with the assortment best suited to its local customer base.
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