Background
A rapidly expanding digital commerce brand serving a broad consumer base across multiple product categories adopted Amazon Bedrock foundation models to deliver conversational product search, AI-generated content, and personalized recommendations — boosting engagement and increasing conversions across its online channels.
The Challenge
The customer needed to modernize its digital commerce platform with AI-driven personalization to improve shopping experiences and boost conversions. Key challenges included:
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Reliance on a static, rules-based recommendation system that struggled to adapt to new shoppers or emerging trends.
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Need for natural language product search and generative product descriptions to improve discovery and engagement.
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Desire for customer service chatbots and personalization without the complexity of managing large-scale ML infrastructure.
Our Solution
Rambunct implemented Amazon Bedrock to provide a generative AI layer integrated into the customer’s commerce platform, enabling dynamic personalization at scale.
