Features
AI-powered demand forecasting with 92% average accuracy
Inventory optimization with automated replenishment recommendations
Demand planning for cross-team coordination
AI agents for end-to-end process automation
External data integration (weather, trends) for short-term planning
Stockout reduction and overstock minimization
Real-time actionable insights and alerts
Impact calculator for ROI estimation
Sustainability-focused inventory management
Support for omnichannel and networked inventory
KPI tracking for inventory control
Seamless deployment with measurable results from day one
Automated data collection and forecasting improvement
Rebalancing and buying suggestions
Real-time energy monitoring dashboards
Predictive analytics for demand forecasting
Anomaly detection for equipment fault alerts
Automated HVAC control based on occupancy and weather
Automated lighting control scheduling
Energy benchmarking against similar buildings
Carbon reduction target tracking and reporting
Machine learning for inefficiency identification
BMS integration via BACnet and Modbus
IoT sensor integration (Honeywell, Siemens, Johnson Controls)
Customizable dashboards for different user roles
ESG reporting automation for GRESB, CDP
