Plan-D — Route Optimization
DSAT · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (8 more lines)
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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.