Overview
Implementation & Optimization Services for AI/ML Route Optimization Modern logistics operations demand high-performance cloud infrastructure to handle the complex compute requirements of today’s Transport Management Systems (TMS). We provide AWS Professional Services to help customers architect, deploy, and manage specialized AI/ML logistics workloads on the AWS Cloud. Our team of AWS experts assists you in achieving specific cloud outcomes to power your routing scenarios, including Continuous Moves and ongoing Pickup-and-Drop-off models. Scope of Service includes: AWS Infrastructure Architecture: Design of highly available and scalable environments using Amazon ECS and Amazon EKS specifically tuned for AI/ML routing engines. Deployment Automation: Configuration of CI/CD pipelines to manage the lifecycle of your logistics models within your AWS account. Data Pipeline Integration: Engineering services to connect your TMS data to Amazon S3 and AWS Glue for real-time route processing and historical analysis. Security & Compliance: Setup of AWS IAM roles, VPC configurations, and encryption to ensure full data ownership and operational security in the cloud. Cost Optimization: Expert guidance on right-sizing Amazon EC2 instances and utilizing AWS Spot Instances to reduce the cost of compute-heavy optimization runs. By leveraging our professional services, your organization can accelerate the adoption of AWS cloud-native technologies to run intelligent route planning under dynamic operational constraints like traffic, weather, and delivery windows.
Highlights
- Route Planning Uses AI to analyze real-time traffic, weather, and road conditions to select the most efficient paths. Plans optimized multi-stop routes to minimize distance, travel time, and fuel consumption. Supports vehicle-specific routing, geo-fencing, and dynamic rerouting in case of disruptions such as road closures or accidents.
- Resource Planning Uses ML models to allocate drivers and vehicles based on availability, license validity, work history, and Hours-of-Service (HOS) regulations. Enables Continuous Move planning, reducing empty miles and maximizing asset utilization. Integrates predictive maintenance data to consider vehicle condition and reduce the likelihood of breakdowns.
- Load Planning Uses AI algorithms to consolidate optimal loads based on cargo type, temperature control, fragility, and destination. Distributes weight evenly to ensure safety and compliance with legal weight limits. Optimizes deliveries based on cost, transit time, and customer requirements.
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We provide dedicated technical support for all our AWS Professional Services engagements. Customers can expect the following support framework: Primary Contact Method: Please contact us via email at awsmktsupport@dsatglobal.com or through our support portal at https://dsatglobal.com/contact/ . Support Hours: Standard support is available Monday through Friday, 9:00 AM to 6:00 PM EST. Response Times: We strive to acknowledge all technical inquiries within 1 business day. Urgent infrastructure deployment issues are prioritized for faster resolution. Service Scope: Support includes assistance with the initial AWS infrastructure setup, configuration troubleshooting for Amazon ECS/EKS clusters deployed by our team, and guidance on AWS best practices related to the logistics engine integration.