Greenwing AI provides a machine‑learning platform that integrates real‑time ERP, IoT, and market data to deliver continuous demand forecasts and inventory optimization for supply‑chain operations. The web dashboard visualizes key metrics, alerts users to disruptions, and offers API endpoints for embedding predictive insights into existing logistics software.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chain managers often rely on manual forecasting methods and fragmented data sources, leading to inaccurate inventory predictions and elevated logistics costs.
Solution
Greenwing AI offers a machine‑learning platform that ingests real‑time data from ERP, IoT sensors, and external market feeds to generate predictive analytics for supply chain operations. The system continuously updates demand forecasts, suggesting optimal inventory levels and shipment schedules. By automating the analytics workflow, the platform helps companies reduce stockouts, lower holding costs, and improve overall operational efficiency. Users access forecasts and actionable recommendations through a web dashboard that visualizes key metrics and alerts users to potential disruptions.
Target Audience
Primary customers are mid‑size to large manufacturers, distributors, and retail enterprises that need data‑driven inventory and logistics planning.
Features
- Real‑time data integration from ERP, warehouse management, IoT devices, and market APIs
- Demand‑forecasting models based on supervised learning and time‑series analysis
- Inventory optimization engine that recommends reorder points and safety stock levels
- Logistics cost estimator that evaluates transportation modes and routing options
- Interactive dashboard with KPI visualizations, scenario simulation, and alert notifications
- API endpoints for embedding forecasts into existing supply‑chain software