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
Technologies Used
AngularJS
PostgreSQL
NODE.JS
AWS RDS
AWS DynamoDB
AWS Elastic Load Balancer
AWS CloudFront
AWS S3
AWS EC2
Impact by the NUMBERS
50%
increase in usage for partner company
14.5%
increase in Net Promoter Score (NPS)