FEATURES
Supply chain planning and optimization
- Demand forecasting.
- AI-supported recommendations on supply chain optimization (e.g., how much and when to order).
- Supply chain digital twin – a real-time supply chain model to test different supply chain action plans (e.g., safety stock planning, transportation optimization) and evaluate their impact before choosing the best one.
Value: improved and more cost-efficient fulfillment of customer demand, increased resource utilization, synchronization between different supply chain components.
Supply chain risk management
- Supply chain control tower, offering real-time, AI-supported visibility into all supply chain operations, including operations of suppliers and external carriers.
- Configurable dashboards for a unified view of supply chain processes and related KPIs (fill rate, order cycle time, etc.).
- Collaborative issue resolution with suppliers via a shared space for issue discussions, issues status tracking and notifications, etc.
Value: end-to-end supply chain visibility, proactive risk management, improved collaboration with suppliers.
Inventory and warehouse management
- Inventory levels and location tracking (with barcode or RFID technology).
- Optimal safety stock calculation.
- Automated replenishment triggers.
- Lot and serial number tracking.
- Expiration dates and shelf life monitoring.
Value: decreased inventory carrying costs, increased order fulfillment speed and accuracy, optimized labor costs, minimized inventory loss and shortages.
Logistics management
- Freight tracking.
- Planning and optimization of route schedules.
- Vehicle accident case management (accident notifications and reports, repair request issuing and routing, etc.).
- IoT connectivity to monitor product condition during transportation.
Value: improved vehicle utilization, decreased logistics operating costs, on-time delivery.