What is SkuCaster?
What is SkuCaster?
Embedded Files
SkuCaster utilizes machine learning to analyze historical sales, shipment data, and external market indicators to predict future demand at the SKU (Stock Keeping Unit) level. It boasts up to 94% forecasting accuracy, helping businesses optimize stock levels, reduce overstocking, and prevent stockouts
Demand Forecasting: Provides SKU-level forecasts using AI models trained on both internal and external data sources.
Real-Time Alerts: Integrates with tools like Slack and Microsoft Teams to notify users of discrepancies between demand forecasts and production plans .
DataPilotGPT: A chat interface allowing users to query databases using natural language, facilitating quick insights without compromising data privacy .
Open-Source Tools: Offers a GitHub repository for SKU monitoring, enabling businesses to track inventory levels from various data sources like CSV, Excel, ERP systems, and databases
AI Solution
AI Solution
Fully automated machine learning based forecasting system
On-Prem/Cloud
On-Prem/Cloud
Environment agnostic. Run it on your prem or on cloud of choice
Fixed Cost
Fixed Cost
No suprises
Customization
Customization
Fully Customizable
Use Cases
Use Cases
E-commerce and Retail: Managing extensive product catalogs and anticipating customer demand.
Manufacturing: Aligning production schedules with accurate demand forecasts.
Automotive Aftermarket: Utilizing external data like Vehicles in Operation (VIO) to enhance forecasting accuracy
Our Clients and Partners
Page updated
Google Sites
Report abuse