Executive Summary

Taxi and private‑hire operators — roughly 1.6 million small-to-mid fleets globally — grapple with high idle time, fragmented booking channels and manual dispatch that together erode utilization, increase fuel and labor costs, and leave capacity unused; industry estimates put unproductive time at meaningful double‑digit percentages of operating hours, which directly hits margins for operators already under pressure. These operators typically buy point solutions for bookings, payments and telematics that don’t coordinate, creating booking friction for passengers and suboptimal driver assignments for operators. The product would be a modular SaaS stack centered on an AI real‑time dispatch engine that integrates telematics, booking and payments, and is sold as a core subscription with optional add‑ons (predictive maintenance, driver incentives, marketplace integration). By combining learned routing/assignment models with rule‑based local policies and a low‑code integration layer, a deployment can aim to reduce idle time by an estimated 10–25% and operating costs (fuel/driver idle pay) by 5–15% depending on fleet mix — outcomes you’d need to validate in pilots. The unit economics assume an average $3,000 ACV per fleet to reach the $4.8B addressable market implied by 1.6M fleets. The timing is attractive because three structural trends are converging: advances in AI and real‑time optimization, operator preference for unified Mobility‑as‑a‑Service stacks over brittle point tools, and broader telematics/EV adoption that makes high‑quality telematics data widely available. Those forces shorten the ramp for delivering measurable ROI and create a receptive set of fleets that can both buy and integrate such a platform. To stand out you should focus on pragmatic differentiation: a truly modular API/SDK that minimizes integration costs, transparent outcome‑based pricing or pilot guarantees to prove ROI, and partnerships with telematics OEMs and local operator networks to accelerate adoption. Be honest that competition is medium — incumbents and regional dispatch platforms exist — and that sales cycles are long, local regulatory/customization needs are real, and the product must demonstrate consistent, verifiable cost savings to overcome operator inertia. If you can deliver predictable, measurable reductions in idle time with low friction integration, this market is worth pursuing; otherwise the barriers of trust and customization will limit scale.

Market Opportunity

Cut fleet idle time and booking friction with AI dispatch & modular SaaS targets a $4.8B = 1.6M taxi & private-hire fleets globally x $3,000 ACV software spend total addressable market with medium saturation and a year-over-year growth rate of 10% CAGR in mobility/fleet software demand.

Key trends driving demand: AI dispatch & optimization -- reduces idle time and fuel costs by smarter real-time driver assignment; Mobility-as-a-Service consolidation -- operators prefer unified booking/dispatch/payment stacks over disparate tools; EV & telematics adoption -- connected vehicles enable predictive maintenance and cost reductions; Embedded payments & local regulatory APIs -- integrated compliance and payments accelerate onboarding.

Key competitors include TaxiCaller, TaxiMobility (now part of), eCab/TaxiMobility, Ridecell, Karhoo, Samsara (adjacent — telematics & fleet optimization).

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Cut fleet idle time and booking friction with AI dispatch & modular SaaS

Executive Summary

Market Validation

Market Opportunity

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