This case study explores how People10 implemented an AI-powered dynamic pricing platform on AWS, enabling booking-based businesses to achieve a 10–25% increase in revenue and up to 30% improvement in conversion rates.
By combining historical data, real-time demand signals, and external inputs like weather, the platform uses machine learning and AI to generate optimal pricing recommendations. A configurable business rules engine ensures alignment with operational constraints.
Built on a scalable cloud architecture (Amazon EC2, RDS, VPC), the solution delivers pricing via real-time APIs, enabling businesses to respond instantly to demand changes and maximize revenue.
