MLOps
RoadVision Delivery Engine
An end-to-end MLOps platform for last-mile logistics optimisation, providing real-time route scoring, fleet anomaly detection and automated model retraining.
- Industry
- Logistics
- Status
- Live in production
- Outcome
- 22% reduction in delivery exceptions
Overview
A platform that scores delivery routes in real time and keeps its own models current through monitored, automated retraining.
The challenge
Route models degraded as delivery patterns shifted, and manual retraining could not keep pace with operational change.
Architecture
- Airflow pipelines preparing delivery, route and telemetry features
- SageMaker training jobs with MLflow experiment and model registry
- Kubernetes-hosted scoring services for real-time route requests
- Monitoring on drift and performance triggering retraining
Capabilities delivered
- Real-time route scoring
- Fleet anomaly detection
- Automated retraining with evaluation gates
- Model versioning and controlled promotion
Outcome
22% reduction in delivery exceptions.
More work