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
Angular B
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)