The Challenge

The company wanted to improve customer engagement in the face of competition by offering new services. The goal was to make customers’ experience a personalized intermodal journey with reduced wait and travel times.

The Solution

Addo AI built a microservices based MaaS mobile application on cloud with interactive user interfaces. Provided API-based integrations with mobility operators. Developed ML models to:

• provide personalized mobility recommendations to commuters,
• recommend adding/removing stops to/from specific routes by analyzing the gathered data,
• make changes to commute schedule(s) in response to demand prediction.

Addo AI also offered storage and analysis capabilities for trips and user preference data.

The Results

• Faster delivery of analytics
• Improved data visibility because of consolidated information