GOAL: Enhance customer engagement by delivering personalized offers tailored to individual preferences.

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SOLUTION: Implemented a modern Data Warehouse (DWH) solution to centralize data management. Utilized advanced Recommendation Machine Learning (ML) Models to develop personalized offer strategies. Integrated real-time data ingestion and reporting capabilities. Deployed an ML-driven recommendation and pricing engine to optimize offerings and pricing strategies.

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BUSINESS OUTCOME: 

• Successfully enhanced customer engagement, resulting in improved satisfaction, higher conversion rates, and sustained revenue growth.

• Achieved a remarkable 28.2x ROI on a $2M investment.

• Generated a substantial annual revenue of $91M with a margin of approximately $56.4M.

• Deployed the solution within a record time of just 5 months.

• Partnering with leading OTAs, we navigate data management complexities to achieve unparalleled success in today's competitive landscape.