Alloy Planning vs DemandTec

Alloy Planning is a web-based forecasting and planning platform built for consumer goods brands. It uses retail point-of-sale and channel inventory data to forecast demand down to retailer and SKU-location level, helping teams respond to demand shifts. The platform automatically updates point-of-sale, inventory, and shipment data and flags areas that need attention. Sales and Supply Chain teams can build and track plans together, including consensus demand and inventory plans informed by projections, sales forecasts, promotions, and capacity forecasts. Alloy.ai says its wider data platform combines commerce and inventory information, drawing on integrations for retailers, ecommerce platforms, distributors, 3PLs, and ERPs. It can normalize partner identifiers, units, metrics, calendars, and currencies, and model product movement across manufacturing, warehouses, and retail locations. AI tools include natural-language performance analysis, executive reporting, and preparation of store-level stockout recovery orders for approval. Demand sensing, scenario planning, and hierarchical forecasting are listed. The service runs on the web, and pricing is on request.

DemandTec is a web-based Commercial Trade Intelligence platform connecting retailers and consumer packaged goods partners on a shared data layer. Revenue Optimization links pricing, promotions, markdowns, and post-evaluation through one demand model. DemandTec Pricing provides machine-learning price optimization, rules-based pricing, real-time updates, key value item insights, and recommendations. Merchants review and approve recommendations; prices do not change automatically. Trade Performance supports funding, co-planning, deal execution, and settlement between retailers and CPG partners. DemandTec says its recommendations use more than 25 years of demand science and achieve forecast accuracy of 90% or higher. The network includes 7,800+ connected CPG partners, 120+ retail banners, and 30,000+ daily active users. API Connect and Deal Data Sync connect retailer and supplier technology stacks. Implementation includes data connection, demand-model validation, guided go-live, feed monitoring, user enablement, and regular value reviews. Enterprise SaaS is billed annually with a custom quote; implementation and customer success are included.