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With over 140 years of history, the company has established itself as one of the leading fashion retailers in the region. It operates approximately 700 franchised stores and is present in about 8,000 multi-brand retail points, employing over 4,000 collaborators. Its international presence extends to countries in Latin America and the Middle East, with 22 franchised stores in these regions.
In the competitive fashion retail landscape, a leading company sought to boost customer engagement and drive online sales. They aimed to implement a solution that delivers highly relevant and diverse product recommendations in real-time, moving beyond basic suggestions to anticipate and fulfill customer needs.
A significant challenge was providing personalized recommendations to both logged-in users and anonymous visitors, ensuring a seamless and engaging experience for all customers.To drive digital sales growth, the initiative focuses on consolidating customer behaviors from both logged-in users and anonymous visitors. By predicting purchasing patterns through real-time product recommendations aligned with customer navigation and interaction feedback, the retailer aims to enhance customer engagement.
This strategy seeks to increase the average basket size through effective cross-selling and up-selling, creating a personalized and dynamic shopping experience that resonates with each customer’s unique preferences.
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