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How We Revolutionized Urban Mobility by Launching Zippi: A High-Performance Ride-Hailing Ecosystem

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About Zippi

Zippi is a dynamic ride-hailing platform designed to provide speed, comfort, and safety at the tap of a button. Offered by Zippintella, the app serves as a comprehensive mobility solution—allowing users to book instant rides, schedule future trips, and even hire professional drivers for their own private vehicles. With over 5,000 downloads and a robust real-time tracking system, Zippi has quickly become a reliable competitor in the transport sector, prioritizing transparent pricing and user control.
Industry
Transportation & Mobility
Services
UI/UX Design, Real-time GPS Integration, Payment Gateway Development
Business Type
B2C Marketplace / Startup
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Meeting the Demand for Reliable, Multi-Modal Transport Solutions

In a crowded ride-sharing market, the biggest challenges for users remain inconsistent pricing, long wait times, and a lack of flexible service options. Most apps force a “one-size-fits-all” approach, leaving a gap for users who need professional drivers for their own cars or highly specific vehicle tiers for their budget. To disrupt this space, Zippintella partnered with our team to build Zippi. The goal was to create a high-concurrency platform capable of handling thousands of simultaneous ride requests while maintaining sub-second latency for GPS tracking and automated fare calculations.

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Sam Lentini
B4Tax
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I see a big difference between when we were not with Codeflies and now when we are using their services. They are able to assess our needs and they took us all the way to where we should be. When we originally called them, we had trouble figuring out sales on Google because Google had changed.
Jose M
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Our Process

1

Conceptualization
Market understanding Localization

2

Design
User flow Designing

3

Development
KFC Android App KFC iOS App

4

Deployment
Play Store publishing App Store publishing

01

Conceptualization

Geospatial Analysis Fare Algorithm Modeling

02

Design

Low-friction Booking Flow Driver & User Interfaces

03

Development

Real-time Socket Integration Scalable Cloud Architecture

04

Deployment

Play Store Optimization Beta Testing & Driver Onboarding

Our Project Challenges

1

Hiring the right team

Hiring the right people with just the right skills and experience in food e-commerce was essential to fulfill the nitty-gritty of the requirement and achieve desired results. Our team, with complete detailing, selected people that were not just experts in their respective fields but also highly professional and responsive to the client’s needs.

2

Reducing time to market
In order to handle competitive pressure, it was crucial to reduce the app’s time to market. To meet the need, we placed our team onsite to help bridge the gap in understanding the requirement and connect cross-functional teams to brainstorm the solution while keeping in mind the current legacy system and its limitations.

3

Offering high personalization
In order to make people order from the KFC food delivery application in place of aggregator apps, it was critical to double down on the customer experience. To achieve the same, we offered a high level of personalization in the app and made it easy for customers to view their order history and make payment through multiple gateway options.
01

High-Precision Real-Time Tracking

In ride-hailing, even a 5-second delay in location updates can ruin the user experience. We implemented advanced WebSocket and GPS polling techniques to ensure that users can track their drivers in real-time with pinpoint accuracy, regardless of network fluctuations.

02

Flexible Service Architecture

Unlike standard cab apps, Zippi required a hybrid model: "Book a Cab" and "Hire a Driver." We built a modular backend that allows the system to switch between dispatching a vehicle and dispatching a professional driver to a user's location without compromising the workflow.

03

Building Trust Through Transparency

To compete with established giants, we focused on Transparent Pricing Models. We developed a complex fare engine that calculates estimates based on traffic, distance, and vehicle type, ensuring no hidden costs and offering multiple payment gateways for user convenience.

The Results

4.5
Average Rating on the Play and App Store
22%
Conversion Rate
50%
Total Orders Coming Through App
60%
Repeat Purchases Across Channels
30,000+
Orders Fulfilled Through App Per Day
100%
Revenue Upliftment During Peak Holiday Seasons

5,000+

Active Downloads since launch

98%

Real-time GPS Tracking Accuracy

24/7

Reliable Driver Availability

4.2+

Average User Rating for Ease of Use

15%

Lower Wait Times compared to local competitors

Multiple

Payment Options (Cash, Card, Wallet) Integrated