Food Delivery App
Company Category
Technology
Selected Services
Project-Based
Client Name
PT. Teknologi Maju
Solution Provided
Mobile Development
Project Overview
The Food Delivery App ecosystem consists of three interconnected applications: customer app for ordering, restaurant app for order management, and driver app for delivery coordination. This comprehensive solution includes real-time tracking, payment processing, rating systems, and analytics dashboards. The platform supports multiple restaurants and provides efficient order routing and delivery optimization.
Business Issue
The client wanted to enter the competitive food delivery market but lacked the technology infrastructure to support multi-party coordination between customers, restaurants, and delivery drivers. Manual order coordination was inefficient and error-prone, leading to delayed deliveries and poor customer experience. The absence of real-time tracking and communication tools created frustration for all stakeholders.
Business Solution
We developed a comprehensive food delivery ecosystem with separate applications for customers, restaurants, and drivers. The solution includes GPS tracking, automated order routing, real-time communication, payment processing, and performance analytics. The platform provides centralized administration tools for managing all aspects of the delivery operation.
Lesson Learned
The food delivery project taught us the complexity of coordinating multiple stakeholders in real-time operations. We learned that reliable GPS tracking and communication systems are critical for customer satisfaction. The importance of scalable architecture became evident as the platform needed to handle peak ordering periods without performance degradation.
Benefits
The food delivery platform processed over 10,000 orders in the first month with 95% on-time delivery rate. Customer satisfaction scores averaged 4.5 stars, and restaurant partners reported 40% increase in online orders. The delivery optimization algorithms reduced average delivery time by 25% and improved driver efficiency significantly.
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