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Alloy Planning
San Francisco, California, United States
What it is
Alloy Planning is a web-based forecasting and planning solution for consumer goods companies. It uses retail point-of-sale and channel inventory data to track demand changes at retailer and SKU level, while shipment data is also updated for planning. Sales and supply chain teams can work from a shared view, build demand and inventory plans using sales, promotion, and capacity forecasts, and monitor performance against those plans. The platform combines commerce and inventory information, collecting data from sources such as retailer portals, APIs, and flat files. Its normalization model maps partner identifiers to internal SKUs and aligns units, metrics, calendars, and currencies. It also models product movement across manufacturing, warehouses, and retail locations. Included AI tools answer natural-language questions, create reporting narratives and visualizations, and prepare store-level stockout recovery orders for approval. Listed capabilities include demand sensing, scenario planning, and hierarchical forecasting, with SKU-location granularity. Pricing is on request.
For and against
For
- Forecasting reaches retailer and SKU level.
- Teams can track performance against shared plans.
- Includes demand sensing and scenario planning.
- Lists 450+ pre-built data integrations.
- Supports SAML single sign-on.
Against
- Web platform only.
- Pricing is available on request.
- Recovery orders require approval.
The verdict
Alloy Planning brings demand forecasting, inventory planning, and team coordination into one platform for consumer goods brands. Prospective customers need to request pricing and arrange an introductory call.
Who it suits
It is presented for consumer goods brands whose sales and supply chain teams need to coordinate forecasts and inventory plans. It may also suit teams seeking visibility across multiple supply chain locations.
On the record
- Access controls
- Alloy.ai supports single sign-on through SAML.alloy.ai · read 4 Oct 2026
- AI analysis
- Lens is an on-demand AI analyst that answers natural-language questions and explains performance through multidimensional analysis.alloy.ai · read 4 Oct 2026
- Availability
- Alloy.ai directs prospective customers to book a demo; after a request, a sales representative will email within 24 hours to schedule an introductory call.alloy.ai · read 4 Oct 2026
- Compliance
- Alloy.ai says it maintains SOC 2 Type II for Security and is GDPR compliant, and describes its approach to CCPA data protection and compliance.alloy.ai · read 4 Oct 2026
- Custom integrations
- Alloy.ai invites customers to contact it to discuss building an integration if their demand planning software is not listed.alloy.ai · read 4 Oct 2026
- Data collection
- The platform automates data extraction from APIs, retailer portals, and flat files.alloy.ai · read 4 Oct 2026
- Data normalization
- Its SKU-Location Inference Model maps partner identifiers to internal SKUs, converts units of measure, and harmonizes metrics, calendars, and currencies.alloy.ai · read 4 Oct 2026
- Data ownership
- Alloy.ai says customers retain exclusive ownership of raw signals and AI-generated insights and that it does not use proprietary customer data to train third-party or general AI models.alloy.ai · read 4 Oct 2026
- Data platform
- The platform combines commerce and inventory data into a unified source of truth for Sales and Supply Chain teams.alloy.ai · read 4 Oct 2026
- Data sources
- Alloy.ai says it has 450+ pre-built integrations for retailers, ecommerce platforms, distributors, 3PLs, and ERPs.alloy.ai · read 4 Oct 2026
- Demand planning integrations
- The site lists SAP IBP, Anaplan, Kinaxis, and Logility as popular demand planning integrations.alloy.ai · read 4 Oct 2026
- Forecasting
- It uses harmonized retail point-of-sale and channel inventory data to reflect demand shifts down to retailer and SKU level.alloy.ai · read 4 Oct 2026
- 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.alloy.ai · read 4 Oct 2026
- Planner workflow
- The platform automatically harmonizes and updates retail point-of-sale, channel inventory, and shipment data, and alerts users to areas needing attention.alloy.ai · read 4 Oct 2026
- Planning collaboration
- Teams can plan and track performance against plan in one place to respond to changes and reduce stockouts and excess inventory costs.alloy.ai · read 4 Oct 2026
- Purpose
- Alloy.ai is built to help consumer goods brands sell more products, save time, and solve supply chain challenges.alloy.ai · read 4 Oct 2026
- Replenishment agent
- The Replenishment Agent detects store-level stockouts and prepares recovery orders for approval.alloy.ai · read 4 Oct 2026
- Reporting agent
- The Performance Reporting Agent synthesizes data into executive narratives and custom visualizations.alloy.ai · read 4 Oct 2026
