Description
Uses customer behavior to recommend products and increase sales.
How It Works:
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Analyzes browsing and purchase history
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Suggests related or popular products
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Improves customer experience
Languages Used:
Python, Machine Learning Libraries, JavaScript
Last Updated:
Continuously improved with AI models
Temitope –
Improves product discovery with smart suggestions that feel natural and relevant.
Lateef –
Keeps suggestions organized and accurate without extra effort.
Taibat –
Smooth performance and clear setup make recommendations easy to manage.
Nura –
A reliable engine that adds value by enhancing the shopping experience.
Saturday –
Helps increase engagement by showing items that truly fit customer interest.