Customer Background
Our customer is one of the largest trucking companies in North America, serving its diverse customer base by a network of over 1000 trucks and 25,000 approved carriers.
Technology Used
The products and technologies used in this effort by our team and the customer were,
- IBM Sterling B2B Integrator
- IBM Business Network
- AWS-EC2
- ELB
- CloudFront
- S3
- CI/CD
- Route53
- API Gateway
- AS2/SFTP
- JSON
- XML
- WebServices
Business Challenge
Our customer provides transportation services for mixed mode freight, and they need to overcome existing limitations in the EDI environment to onboard partners quickly, scale integration layers, and rapidly roll out new integration points.
Our Solution and Support
Our team started providing support services to help them gain functional and business knowledge by working closely with their people, processes, and data. Then, we have provided blueprints and a roadmap to build B2B modernized platforms aligned with their business requirements.
As a part of the implementation, our team,
- Implemented B2B platform on Amazon Cloud to achieve scalability and resilience
- Implemented Amazon API Gateway and related security features
- Clustered B2B platforms aligned with their business continuity strategy
- Removed single points of failures through high availability groups and data replications
- Designed lightweight workflows that are driven by data content to achieve the reusability of core processes
- Implemented Supply Chain framework for transactional events
- Implemented Collaborative Self-Service Partner framework for onboarding
Customer Benefits
Modernization of the EDI platforms enhanced their onboarding experience and helped them,
- Achieve less than 5% downtime (unplanned outage - 12 months)
- Reduce unmissed opportunities (missed loads) related to unplanned outages
- Achieve zero data loss through automated stage/replay capabilities
- Reduce 3-weeks out of the onboarding cycle to achieve faster revenue generation
- Efficient workflows that are throttled based on workloads
- Enhanced transactional event visibility and better business insights from these events
- Near real-time alerting when transactional events do not happen through trained models
- Better collaborative user experience throughout the onboarding process
