Rider app, driver app and dispatch that stay in sync
Reply time
Within 24 hrs
Scope
Fixed, in writing
Code
You own it
Based in
Mumbai
A booking product for Chakala is really a matching problem. Riders want a car now, drivers want minimal idle time, and the dispatch logic between them determines whether either group keeps using the app after the first week.
Fare estimation and dispatch are the two things that decide whether the product works. An estimate that is regularly wrong destroys rider trust; dispatch that favours the same few drivers loses the rest of the fleet within a month.
We also treat safety as a build requirement rather than a feature. Trip sharing, an SOS button and driver verification are expected by riders and increasingly by regulators, and retrofitting them is awkward.
Businesses around Chakala usually come to us after a first attempt elsewhere has already gone wrong, which shapes how we scope taxi booking app development work here.
We are comfortable telling you when a cheaper option would serve you better than the one you asked about.
We cover Chakala (400099) and the surrounding Mumbai Suburban area — on site where a meeting genuinely helps, and remotely where it does not.
Upfront fare based on distance, time and surge, shown before booking.
Ride offers with distance and fare, acceptance timers and idle-time-aware allocation.
Rider, driver and dispatch see the same position and ETA.
SOS button, trip sharing with contacts and driver verification records.
Base fare, per-km, waiting charges and time-based surge you control.
Automated settlement on your schedule with per-trip earnings visibility.
Fare rules, surge policy and allocation logic agreed before build.
Rider app, driver app and dispatch panel designed as one system.
Tested with simulated drivers and trips before real fleet exposure.
Live with a handful of drivers in one area to tune dispatch.
Both apps submitted, then phased fleet expansion.
Chosen for taxi booking app development work specifically, and why.
Rider and driver apps from a shared codebase.
Socket connections for live position with tuned update intervals.
Trips, fares, payouts and reporting on your infrastructure.
Routing, ETA and navigation handoff.
Trip state synchronised across rider, driver and dispatch.
In-app payment, wallet and automated driver settlement.
Driver availability index for fast nearest-driver matching.
Fair dispatch keeps drivers active instead of drifting to competitors.
Accurate estimation is the main driver of rider retention.
SOS, trip sharing and verification meet rider and regulator expectations.
Idle time, acceptance rates and cancellations measurable per driver.
Specific to taxi booking app development projects, and worth avoiding before you commit budget.
Estimates that regularly miss the final fare destroy rider trust faster than higher prices would.
If the same drivers get every ride, the rest of your fleet stops opening the app.
Aggressive GPS polling drains driver phones, so drivers close the app and go offline.
Without cancellation rules and fees, both sides cancel freely and reliability collapses.
Third-party platforms commonly connected on taxi booking app development projects.
Routing, ETA, distance calculation and driver navigation.
In-app card and UPI payment plus wallet top-up.
Automated driver payouts on a defined schedule.
Real-time driver position and trip state.
OTP verification at trip start and booking confirmations.
Number masking so rider and driver phone numbers stay private.
Weeks 1-2
Pricing rules, surge policy, allocation logic.
Weeks 3-10
Booking, matching, tracking and payment.
Weeks 11-13
Admin panel, settlement automation, reporting.
Weeks 14-16
Small-fleet pilot, dispatch tuning, expansion.
Indicative packages. Final quotes follow a scope conversation.
₹4,99,999
On quote
Added when you need them, not bundled into the headline price.
₹39,999
Advance bookings and airport transfers.
₹49,999
Company billing, employee limits and monthly invoicing.
₹59,999
Hourly packages and intercity fare rules.
₹34,999
Document upload and verification workflow.
“Dispatch fairness was something we had not even thought about. Within two weeks our drivers noticed the difference.”
“Number masking was a requirement we did not know we needed until they raised it.”
Nearest-driver matching weighted by idle time and acceptance rate, so rides spread fairly across the fleet rather than concentrating on a few drivers.
Yes — base fare, per-kilometre, per-minute, waiting charges and surge windows are all yours to configure by city or zone.
Earnings accrue per trip and settle automatically on your chosen schedule, with drivers seeing per-trip earnings in the app.
SOS button, trip sharing with contacts, driver verification records and number masking so personal numbers are never exposed.
Update intervals are tuned to balance smooth tracking with battery use. Getting this wrong is a common reason drivers close the app.
Around fourteen to sixteen weeks for both apps and dispatch, including a pilot period to tune matching against real driver behaviour.
Different requirement? These pages cover it.
Tell us what you need in Chakala and we will come back with scope, timeline and a fixed quote.
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