
AI is projected to add to the retail industry annually by 2030
Expect brands to understand their individual needs
Reported by retailers using AI for personalization
AI models that suggest products based on behavior, context, and similarity to other shoppers.
Used for visual search, shelf monitoring, foot traffic heatmaps, and theft detection.
Forecast demand, returns, and campaign effectiveness using historical and real-time data.
Enables voice assistants, sentiment analysis, and chatbot conversations.
Uses customer data to predict and prevent drop-offs.
ML optimizes which layouts, prices, or campaigns drive conversions in real-time.
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