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