Innovative Ride-Sharing Mobile App

Our client, a progressive ride-sharing company based in Sudan, embarked on a mission to transform the local transportation landscape. With a focus on innovation and customer convenience, they sought to launch a feature-rich mobile app to outpace industry competitors. Tridhya joined forces to bring their vision to life, combining technical expertise and creative problem-solving. The collaboration faced fierce
competition and tight timelines, but through agile development and modern frameworks, the partnership resulted in a groundbreaking mobile app. This achievement positioned our client as a leader in Sudan’s ride-sharing sector.

Key Challenges

Driver Selection Process

The challenge was to establish an equitable and streamlined mechanism for driver selection. This involved ensuring that ride requests were distributed fairly among drivers, considering factors like driver availability, location, and rating.

Accurate Fare Calculation Algorithm

A critical challenge was developing a highly precise fare calculation algorithm. This algorithm needed to account for multiple variables, including base fares, vehicle types, distance traveled, waiting time charges, and any promotional discounts, to provide riders with transparent and fair pricing.

Route Selection

Crafting an intelligent route selection process posed a technical challenge. It required optimizing travel time by analyzing real-time traffic data, calculating distances accurately, and considering various factors to suggest the most efficient route options to both drivers and passengers.

Our Solutions

Sophisticated Fare Calculation Algorithm

The development team created a highly advanced fare calculation algorithm. This algorithm considered various factors, including base fares, vehicle types, distance, waiting time charges, and promotional discounts, ensuring fair and transparent pricing for riders and drivers.

Round-Robin Driver Selection

To enhance the driver selection process, a round-robin driver selection mechanism was implemented. This mechanism ensured an equitable distribution of ride requests among drivers based on real-time factors like availability, location, and driver ratings.

Real-Time Traffic Data Analysis

Route selection was optimized by analyzing real-time traffic data, distance, and other variables. This data driven approach improved travel time efficiency and provided users with the most efficient route options

Tech Stack

Conclusion

The collaborative effort between our client and Silwatech resulted in a remarkable victory in the competitive ride-sharing industry. The launch of the cutting-edge mobile app led to a staggering 43% increase in bookings within three months, doubling revenue and expanding the driver fleet to over 300. The user friendly interface, efficient delivery system, and secure payment platform offered an unmatched experience, driving customer satisfaction. This project stands as a testament to Silwatech capability to conquer time constraints, navigate intense competition, and elevate clients to the forefront of their industry.

Project Overview

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Key Challenges

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Our Solutions

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Tech Stack

Conclusion

In conclusion, SOMPO Insurance has successfully addressed the challenges of providing seamless insurance experiences and supporting both D2C and B2B journeys. Through the development of a comprehensive Customer Web Portal and integration with key services and platforms, SOMPO Insurance has demonstrated its commitment to innovation and customer satisfaction in the insurance industry.

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