A ride-hailing service that provides solutions to ease of commuting within Lagos
We always start with a process diagram describing the user experience you want to achieve
Problem worth solving
Our client already operated a fleet of cars for Airport to City rides, and wanted to expand operations. The problem? How do you provide superior user experience in the face of competition from Uber and Taxify
The Core Challenge
Automatic fare calculation, is a huge problem. Designing an intelligent system to accurately measure distance and analyse traffic situations is difficult. And we had to make sure the fares was competitive
How we solved it
We studied geolocation and geo-mapping techniques. We leverages on Google Map Programming interface, to build a robust solution. We also built a machine learning module to predict and learn fares.
CLIENT:
UNDISCLOSED
DURATION:
4 MONTHS TOTAL DEVELOPMENT TIME, INCLUDING BETA TESTS AND REVISIONS.
target platform(s):
BUILT FOR ANDROID AND IOS.
BUDGET:
$17,500
TEAM:
1 DESIGNER ◻ 2 MOBILE DEVELOPERS ◻ 1 BACKEND & API DEVELOPER
PROJECT MANAGER ◻ 1 MARKET ANALYST.
technology stack:
GOOGLE FLUTTER, GOOGLE FIREBASE, AMAZON REKOGNITION, AMAZON S3 STORAGE, DJANGO, HEROKU DYNOS, Google Maps API.
Designs
Wireframes help capture the general concept, but designs help bring them to life.