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Traditional upsell/cross-sell approaches (manual recommendations, basic collaborative filtering) are too costly to maintain, lack personalization, and fail to dynamically adapt to user behavior, resulting in missed revenue opportunities and suboptimal customer experiences.
A vendor platform connecting restaurants with corporate offices, hospitals, universities, and distribution centers, offering food delivery, popup events, and café services
Expected 15-20% average order value increase through contextual recommendations, 30% faster implementation timeline versus traditional ML models, 25% reduction in operational costs for recommendation management, and measurable improvements in customer satisfaction scores from personalized, transparent AI interactions.