Artificial Intelligence

Logic has created the only model that uses unified data collected across all aspects of the Middle-Mile, enabling our next-generation warehouse operating system.

Real-Time Monitoring and Optimization

Logic's AI generates missions and routes of robots in real-time, optimizing travel times, avoiding operational traffic jams, managing inventory, performing continuous cycle counting and reducing energy consumption across the warehouse.

Facility Optimization

Dynamic Path Planning and Load Balancing, based on predictive storage requirements and delivery/distribution schedules, that provide unparalleled warehouse organization.

Advanced Transportation Management

Consolidating inter-warehouse cargo transfers based on predictive availability, location and traffic, especially in time-sensitive and mission critical situations.

Inventory Control

Proactive monitoring of cargo in the facility or on the road to prevent theft and reduce spoilage and waste. Logic's weight based inventory management identifies and tracks items, end-to-end.

Operational Insights and Improvements

Logic's AI analyzes operational data to identify bottlenecks, providing actionable insights to improve workflows. The model predicts future demand and adjusts the robotic fleet's operations to meet anticipated needs.

Predictive Maintenance

A physics-informed neural model continuously monitors sensor data from robots to perform an expected vs. actual analysis. The output of this model are forecasts on remaining lifespan of components, which then are used to schedule maintenance proactively, reducing downtime.