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TRANSPORT & LOGISTICS

Mobility-as-a-Service Platform for Personalized Customer Journey

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

 

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    Technologies Used

    AngularJS
    AngularJS
    PostgreSQL
    PostgreSQL
    NODE.JS
    NODE.JS
    AWS RDS
    AWS RDS
    AWS DynamoDB
    AWS DynamoDB
    AWS Elastic Load Balancer
    AWS Elastic Load Balancer
    AWS CloudFront
    AWS CloudFront
    AWS S3
    AWS S3
    AWS EC2
    AWS EC2

    Impact by the NUMBERS

    50%

    increase in usage for partner company

    14.5%

    increase in Net Promoter Score (NPS)

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