What we do:

· Define business objectives and success criteria · Align business needs with Amazon Personalize capabilities or custom models · Evaluate user and catalogue data volume and quality · Review processes, tools, and architecture at a high level · Optimize data format for the model · Import user interaction history, item metadata, and user information to AWS Personalize · Use AWS Personalize to train recommendation models for the selected use case · Validate the recommendation system's preliminary results · Define additional business rules to refine recommendations · Create a solution roadmap · Scale PoC for full dataset and all defined use cases · Deploy the fine-tuned personalization pipeline · Set up a real-time API for dynamic recommendations · Integrate use cases with applications · Initiate A/B testing · Implement batch download format for marketing communications

What you get:

· Ability to stand out in a saturated market through personalized customer experiences · Integrated real-time personalization in existing systems · Improved customer engagement, loyalty, and sales · Personalized product recommendations, notifications, and email marketing campaigns · Expert utilization of AWS Personalize to fit specific business needs · A solution roadmap tailored to your business · A/B testing to ensure the most effective methods are employed · Access to real-time API for dynamic recommendations and batch download format for marketing communications