Capabilities
Demand forecasting
Predict SKU-level demand from real-time sell-through signals; reorder points adjust nightly with a human review threshold.
Route scoring
Score candidate delivery routes by distance, traffic, load, and service window — dispatcher keeps the final say.
Warehouse triage
Pick-path scoring, cycle-count alerts, and anomaly detection on receiving variance before it hits the floor.
Last-mile routing
Drop sequencing with time-window constraints; re-plan on exceptions without paging the planner.
Customer chatbot
Triages order questions, drafts returns, and hands off to a human agent when intent confidence drops.
System integration
Connects to WMS, TMS, and ERP over REST or EDI with a unified shipment data contract.
Features
Model training pipeline
End-to-end MLOps: data ingestion, feature engineering, training, validation, and deployment — reproducible and version-controlled.
Monitoring dashboard
Track model accuracy, drift, latency, and throughput in production with alerting on degradation.
Integration SDK
Python and TypeScript SDKs to embed AI predictions into existing WMS, TMS, and ERP workflows.
Explainability reports
Feature importance, SHAP values, and decision logs so ops teams understand why the model recommends each action.
Built with
Use cases
Demand forecasting for retailers
Predict SKU-level demand by region and channel; feed into procurement and warehouse planning.
Customer service chatbot
Deploy AI agents that handle order inquiries, returns, and escalations across chat, email, and phone.
Route & fleet optimization
Reduce fuel costs and improve on-time rates by optimizing daily route plans across the fleet.
Get started
Integrate AI into your operations.
Forecasting · Routing · Automation — integrated. Contact us for project scoping.