Alloy Planning
5.6#25 in demand planning softwareWeb
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| Fact | Alloy Planning | Forecast Pro |
|---|---|---|
| Forecasting | It uses harmonized retail point-of-sale and channel inventory data to reflect demand shifts down to retailer and SKU level. | Its automatic best-pick algorithm accounts for seasonal patterns, trends, business cycles, promotional activity, and other factors. |
| Headquarters | San Francisco, California, United States | Waltham, Massachusetts, USA |
| Integrations | Alloy.ai lists Snowflake, BigQuery, Databricks, Redshift, and Azure Data Lake as warehouse destinations, plus Tableau, Power BI, Looker, Kinaxis, Anaplan, and SAP IBP as downstream tools. | Data can be exchanged through Excel, CSV or text files and direct ODBC database connections, with outputs commonly sent to ERP or MRP systems. |
| Purpose | Alloy.ai is built to help consumer goods brands sell more products, save time, and solve supply chain challenges. | Forecast Pro creates statistically based business forecasts that can be integrated into broader planning systems. |
No prices published.
Alloy Planning suits consumer goods brands whose sales and supply chain teams need retailer- and SKU-level forecasts. It is presented as a planning tool for responding to demand changes and managing inventory.
Professional is positioned for forecasters and organizations moving beyond Excel. TRAC is intended for collaborative planning teams and S&OP processes.