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Personalizationworks best when it feels intuitive. With the Next Interaction recommendation model, anticipate customer needs and deliver recommendations powered by real browsing and interaction patterns.
Important: This model works best in high-traffic environments with rich behavioral data (e.g. browsing, clicks, views).
The model uses the current product interaction as context and applies advanced pattern recognition to suggest the most relevant next product. This ensures your recommendations are grounded in customer behavior While product attribute similarity, or visual recommendations focus on product context, the personalised model uses behavioral data to maximize the context longer interaction histories. The Next Interactions model shines in real-time environments - delivering the most relevant suggestion at the very moment your customer is ready to engage.
Display predictions directly on home, category or product pages to guide customers to the next item they’re most likely to want. Thanks to an item context this recommendation can be as well displayed in messages and pages other than the item page - making recommendations effective across multiple touchpoints.
Personalizationworks best when it feels intuitive. With the Next Interaction recommendation model, anticipate customer needs and deliver recommendations powered by real browsing and interaction patterns.
Important: This model works best in high-traffic environments with rich behavioral data (e.g. browsing, clicks, views).
The model uses the current product interaction as context and applies advanced pattern recognition to suggest the most relevant next product. This ensures your recommendations are grounded in customer behavior While product attribute similarity, or visual recommendations focus on product context, the personalised model uses behavioral data to maximize the context longer interaction histories. The Next Interactions model shines in real-time environments - delivering the most relevant suggestion at the very moment your customer is ready to engage.
Display predictions directly on home, category or product pages to guide customers to the next item they’re most likely to want. Thanks to an item context this recommendation can be as well displayed in messages and pages other than the item page - making recommendations effective across multiple touchpoints.
