Truckers Konnect identified that featuring in the trucker repair shop directory would not be sufficient; truckers needed a reliable road companion. We created a full-fledged mobile application that could change the way professional drivers attend to their vehicles and calculate a route to prevent expensive breakdowns through some planned pit stops.
Core Capabilities Delivered:
Interactive map interface with proximity-based repair shop discoveryOne-tap booking system connecting truckers directly with service providersDual-route trip planner with comprehensive cost analysisReal-time pricing for fuel, tolls, and anticipated maintenance expensesAchievements & Business Impact:
Launched full iOS and Android apps within 5 months of kickoffAchieved 4.7-star rating across app stores in first 90 daysEnabled 2,500+ repair bookings in initial launch quarterReduced average trip planning time from 45 minutes to under 5 minutesDesigning offline-capable features for areas with poor cell coverageIntegrating verified repair shop data with real-time availabilityBuilding cost calculators that account for vehicle-specific fuel consumptionCreating interfaces that work with gloves on and in bright sunlight
The smart mapping technology will show the immediate repair facilities and service capabilities, ratings, and wait time so that truckers can make a wise choice within a short time.
State-of-the-art algorithms compute a combination of many possible routes in parallel and compute the overall costs of the trip that include the fuel efficiency in relation to the weight of the load, land features, and the actual traffic situation.
Fluid system schedule. The seamless scheduling system enables the drivers to book service slots with no phone calls and with automatic confirmations and reminders to keep everyone in touch.
Detailed budgets display the precise cost of every route, including the current fuel price, the toll fees, and the suggested maintenance periods depending on the history of the vehicle.
The dual-route recommendation system compares the fastest and most cost-effective solutions, with developed comparative results that allow a driver to strike a balance between time and fuel prices.
Live data feeds keep route data current with road conditions, weather advisories, and shop status updates, so one is not caught off guard with traffic.
The active service reminders (according to the mileage and time-based intervals) assist drivers who use trucks to be ahead of the planned industrial maintenance to minimize the risks of breakdown emergencies.
The app has large touch-sensitive areas, high-contrast screens, and easy navigation that enable it to be used in problematic road conditions and different lighting conditions.
Our approach to the first methodology was driver-first, where each sprint made us closer to the final solution to the actual problems that truckers face in the country. The presence of continuous feedback loops ensured that the development remained in accordance with the realities on the road.
In-depth interviews with long-haul truckers and fleet managers were conducted in order to find out the most important pain points and emphasize the features that provided instant value.
It developed high-fidelity prototypes that were optimized to fit in the cab, and they were tested using real drivers in order to confirm the usability in normal driving conditions and at rest stops.
Developed a high-performing infrastructure that can process real-time data on thousands of routes and, at the same time, can react in lightning-fast times with heavy loads.
Worked on short sprints, having frequent trucker test sessions, so that we could optimize features by considering actual road feedback before final implementation.
Implemented high-quality assurance such as GPS accuracy checking, offline functionality testing, and compatibility with multiple devices to achieve immaculate performance.
Released on app stores with active support, gathering driver feedback to initiate constant change and the addition of features based on real-life usage.
Technologies
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