Every ride-hailing platform eventually has to answer the same uncomfortable question: how much extra can you charge when demand spikes before riders start to feel exploited? Get it wrong and you either leave money on the table during genuine surges, or you train your users to distrust every fare quote they see — including the honest ones.
The approach I built into Zuma Ride treats surge pricing as a bounded system, not an open market. Demand and driver-supply signals feed a pricing model in real time, but the model operates inside a hard ceiling tied to the base fare for that route and time of day — typically capped well below what an unconstrained algorithm would charge during extreme spikes like a stadium letting out or sudden heavy rain. The rider sees the multiplier before confirming, not after the ride starts.
That ceiling is a product decision as much as an engineering one. It costs the platform some revenue during the highest-demand windows, but it protects the thing that actually keeps a ride-hailing marketplace alive long-term: riders who don't hesitate before tapping "book" because they've been burned by a KES 2,000 fare for a KES 400 trip. In consulting terms, this is the same principle I bring to any dynamic-pricing system — the ceiling is a trust mechanism, not a limitation.