Case Study: Rideshare achieves real-time, zip-code-level pricing and demand intelligence with TinyFish

How Real-Time Signals Drive Ride-Hailing Strategy

Rideshare, a leading ride‑hailing company, faced minute‑by‑minute shifts in pricing, availability and demand across neighborhoods and service tiers. To keep pace at zip‑code resolution, Rideshare partnered with TinyFish to build a continuous intelligence layer, deploying TinyFish’s enterprise web agents to capture real‑time signals across routes, service types and local conditions.

TinyFish’s agents collect over 10 million data points annually and transform those raw signals into actionable insights, giving Rideshare a high‑resolution market view. Using TinyFish’s intelligence, Rideshare refined pricing strategies, anticipated supply‑demand shifts and designed more effective rider and driver incentives—improving operational precision, responsiveness to local realities, and sustainable growth.

Rideshare