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Managing a vast product catalog in e-commerce has posed significant challenges for retailers looking to effectively connect with customers. Traditional approaches, often based on a “one-size-fits-all” model, can lead to missed opportunities and decreased customer engagement. For platforms like Snoonu, personalization has become a key factor in driving user interaction, improving conversion rates, and maximizing revenue per customer while also building long-term loyalty.
Snoonu users demand product discovery experiences that are seamless and time-saving, showcasing items that align with their personal preferences. They seek recommendations that are contextually appropriate and adapt to their changing needs, thus making personalization a vital requirement for customer satisfaction.
As a leader in e-commerce in the Middle East, Snoonu has transformed its product discovery experience through AI-driven personalization. Initially, the company used a recommendation system based on popularity rules, which failed to effectively connect with the individual interests of its users. To improve this, Snoonu adopted Amazon Personalize in 2024, implementing a unified global model that evolved into sector-specific models. This shift allowed for smarter, data-driven recommendations, thereby increasing customer engagement and conversion rates.
As the platform expanded, Snoonu noticed that its customers’ decisions varied significantly across categories. This led to the creation of separate models for groceries, consumables, and marketplace shopping, enabling the capture of the specifics of user shopping journeys and improving the accuracy of recommendations.
Additionally, the company optimized its system by implementing advanced filters and adopting caching with Amazon ElastiCache, resulting in a notable reduction in latency and a smoother user experience. These updates kept recommendations fresh and relevant, quickly adapting to changes in user behavior and inventory.
The results have been outstanding. In the grocery sector, the platform experienced a 1,600% increase in cart addition events due to personalized recommendations, which also led to a significant increase in the size of carts that included at least one recommended product. This success not only reflects the effectiveness of Snoonu’s personalization strategy but also opens the door to new AI-driven capabilities.
Snoonu’s experience exemplifies how implementing a personalization approach can revolutionize customer interaction with products, elevating customer satisfaction and generating considerable business value. In a constantly evolving e-commerce ecosystem, the ability to adapt and evolve becomes crucial to remain relevant and competitive.
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Source: MiMub in Spanish
