Alloy Planning
5.6#25 in demand planning softwareWeb
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| Fact | Alloy Planning | Inventory Planner |
|---|---|---|
| Forecasting | It uses harmonized retail point-of-sale and channel inventory data to reflect demand shifts down to retailer and SKU level. | Forecasts can account for historical sales, trends, seasonality, stockouts, lead times and supply patterns, with configurable methods. |
| 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. | Native integrations include Shopify, BigCommerce, Amazon, eBay, Walmart, WooCommerce, Magento, Brightpearl, Cin7, Linnworks, Unleashed, QuickBooks, Xero, ShipBob, ShipHero, ShipStation, Snowflake and Google Analytics. |
| Purpose | Alloy.ai is built to help consumer goods brands sell more products, save time, and solve supply chain challenges. | Inventory Planner helps retailers, ecommerce brands, wholesalers, and discrete manufacturers forecast demand and make inventory purchasing decisions. |
| Security | Alloy.ai says it encrypts customer data at rest and in transit, stores it in Google Cloud Platform, and uses TLS 1.2 for transit and service requests. | The security statement describes TLS-encrypted administration access, dedicated client databases, and user-level access controls. |
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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.
It suits retailers, ecommerce brands, wholesalers, and discrete manufacturers that need demand forecasts and purchasing recommendations across inventory locations. Teams should be prepared for required guided implementation and training.