Client Overview
Around 2 months ago Mr. Viet Le approached Excellent Webworld with an innovative idea to provide luxurious taxi service to the rich and luxurious class of clients. He wanted to deliver a whole new level of luxury and travelling experience to the users from his Tesluxe car.
Mr. Viet Le is a very particular man who had a complete picture of what he wanted from day 1. He needed 2 apps; one for the driver (iOS) and other for the passengers (iOS and Android) and also a website for the Luxury Taxi Startup. We had to make Tesluxe different from other existing taxi services. He was clear that the apps should be easy to use and quick to book trips.
COUNTRY
USA
SERVICE
App development,UI/UX Design
INDUSTRY
Transportation
Project overview
Tesluxe is a luxury startup developed from the concept of intelligent, AI-powered luxury travel.
Several unique, AI-infused features were specially developed for Tesluxe. Every addition to the app and website was a planned move to enhance user experience or optimize operational speed. Sustainability is embedded, with AI-driven insights optimizing performance and resource efficiency. By analyzing user behavior, our app reduces energy consumption, offering an adaptable and eco-friendly experience similar to Tesla’s.
Technology Stack
Languages Used
Swift(ios), Java(Android)
Database
MySQL, MongoDB
Security
SSL
PHP Framework
Codeigniter
Payment Gateway
Stripe
Runtime Tracking
Socket.IO
Cloud
AWS Sagemaker, AWS Comprehend, Google Cloud AI, Amazon Personalize
Geo-Location
Google Map integration
Front & Backend Development
Node Js, Angular Js
AI/ML Frameworks
Tensorflow, scikit-learn
Real-time Processing
Apache Kafka, Apache Spark
What’s unique in the app
The Tesluxe app has all the basic features that any taxi app should have like:
Features List for Driver App
Features List for Customer/User App
The features that make Tesluxe the most unique taxi app are
What makes Tesluxe a luxury project?
Targeting elite clientele, we developed an AI-powered platform where luxury meets technology. The app uses predictive algorithms to anticipate preferences, offering personalized recommendations and exclusive experiences tailored to each client’s unique lifestyle profile. The app was built with two main things in mind:
1st to make the app look as rich as the service.
2nd to give the clients the best service with quick working.
Challenges & Solutions
Excellent Webworld embraced the challenge of building the AI-powered Tesluxe app from scratch. Integrating advanced AI models for real-time tracking, dynamic pricing, and personalized user experiences within a 2-month timeline was demanding, but our AI expertise ensured successful delivery.
Challenge 1:
To make a panel for unique service type
Solution:
Unlike the regular wage according to distance approach, we knew that the service provided by our client needs a unique category , service mention and payment model. We introduced 3-unique service and
Payment model:
Point-To-Point: This is the usual model with payment according to the per mile rate of the trip.
Hourly: The payment will be done by the hour. So the passenger has to pay for the time but not the distance covered. (The base rate starts from 4 hours)
Flat Rate: Some distances are very common so there is a flat rate for such locations.
Challenge 2:
To create seamless, real-time communication between driver and passenger applications
Solution:
We implemented Socket.io enhanced with machine learning algorithms for handling predictive responses. This AI-powered framework delivers instant connectivity while our neural network optimizes data exchange patterns. The intelligent system continuously improves communication efficiency, outperforming traditional MySQL solutions.
Challenge 3:
Map predictions often underestimate actual driver travel distances, leading to revenue loss and driver dissatisfaction.
Solution:
We implemented an AI-powered route optimization system with continuous GPS telemetry. Our machine learning algorithm captures and analyzes real-time location data every few seconds, creating dynamic trip mapping. This intelligent system calculates actual distance travelled rather than projected routes, ensuring accurate fare calculation. The AI continuously learns from historical route patterns to improve prediction accuracy.
Challenge 4:
Creating realistic, real-time vehicle movement visualization on map interfaces
Solution:
We developed an AI-enhanced predictive movement system using advanced geospatial algorithms. Our machine learning model processes continuous Latitude-Longitude data streams and predicts vehicle trajectories. This intelligent system makes precise directional changes, showing authentic car movements, such as turning left or right, with minimal latency, which significantly enhances the passenger experience.
Luxury rentals are leading the startup world
The hourly model of payment is very useful not just for this app but for many luxury business models. If you own any of the following luxury items then you can start your own luxury service startup in the footsteps of Tesluxe.
