Case Study: SwiftRyde boosts revenue and driver availability with Intuz's AI dynamic pricing solution

SwiftRyde boosts revenue 15% with Intuz dynamic pricing

Intuz developed an AI and ML powered dynamic pricing solution for the ride-sharing company SwiftRyde. The client faced challenges including a lack of driver availability during peak hours, a static pricing model that limited revenue, long wait times impacting rider retention, and inefficient pricing due to regional demand variations.

The solution Intuz built processes live data on traffic, weather, demand patterns, and competitor pricing to optimize fares in real time. This AI-driven system resulted in a 30% improvement in driver availability and a 15% boost in revenue for SwiftRyde through dynamic pricing.

SwiftRyde