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Better Self-learning
In addition to knowing what product people click and buy to improve the recommendations further (as all good AI providers do), Communicable AI enables Boxalino to learn much faster and better by identifying on what labels people engage with and which dedicated listing page are most visited and used. All these feed-back information give highly valuable information about what works or not and why.Better Personalization
By letting the user rate the suggestions and their groups (labels) by giving thumbs up/down feed-backs or adding such labels in their wish-list, Communicable AI can profile your customers not only based on what product they click on, but what are the motivating reasons are most suited for their needs.Better Reporting
How should a product recommendations report look like? This is a tough one, as you can’t analyze each context / profile performance for each product (they are too many of them) and grouping by categories or brands might hide the key information of what works or not. However, reporting on the performance of the different labels both in the context of cross/up selling recommendation, but also in the context of the visit and impact of their dedicated listing page is much more effective and useful as a report.Better Marketing
If the dedicated listing page related to any of the product recommendation labels drives many clicks and has a good conversion rate you might want to use such pages as landing page for your marketing activities?
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