Alloy Planning

Overview

Alloy Planning is a forecasting and planning tool for consumer goods brands that need retailer-level demand signals alongside channel inventory. It is strongest for teams coordinating sales and supply-chain plans around changing retail demand; companies seeking a general-purpose planner or a self-serve purchase should look elsewhere.

Key features

Retail point-of-sale and channel inventory data inform forecasts down to retailer and SKU level. Demand sensing, hierarchical forecasting and scenario planning give planners ways to adjust forecasts as conditions shift, rather than treating demand as a single top-line figure. The fine-grained approach is most useful when retailer sell-through and location-level inventory matter to decisions.

Teams can build plans and track performance together. Alloy Planning automatically harmonizes and refreshes point-of-sale, inventory and shipment data, then alerts users to areas that need attention. That workflow can help planners focus on exceptions and coordinate action to limit stockouts and excess inventory costs; it is less relevant to organizations without retailer-specific data or shared planning needs.

For sales and operations planning, Alloy Planning brings together point-of-sale projections, sales forecasts, promotions and capacity forecasts to produce consensus demand and inventory plans. It integrates with SAP IBP, Anaplan, Kinaxis and Logility, and Alloy.ai invites customers to discuss a custom integration if they use another demand-planning system.

The broader Alloy data platform combines commerce and inventory information into a shared source for sales and supply-chain teams. Alloy.ai says it offers 450+ pre-built integrations spanning retailers, ecommerce platforms, distributors, 3PLs and ERPs, and automates collection from APIs, retailer portals and flat files. Its SKU-Location Inference Model maps partner identifiers to internal SKUs, converts units and harmonizes metrics, calendars and currencies. That groundwork can reduce the reconciliation burden of fragmented data, though the value depends on having those varied sources to bring together.

Beyond planning, the platform models product movement across manufacturing, warehouses and retail locations, with visibility across network tiers. Lens answers natural-language questions and analyzes performance across dimensions; the Replenishment Agent identifies store-level stockouts and prepares recovery orders for approval; and the Performance Reporting Agent turns data into executive narratives and visualizations. These capabilities broaden Alloy.ai’s role beyond forecasting, but should matter most to buyers seeking a connected data and supply-chain platform rather than a standalone planning tool.

Alloy.ai says customer data is encrypted at rest and in transit, hosted on Google Cloud Platform, and protected in transit and service requests with TLS 1.2. It maintains SOC 2 Type II for Security, is GDPR compliant, describes its CCPA approach, and supports SAML single sign-on. Customers retain exclusive ownership of raw signals and AI-generated insights, and Alloy.ai says it does not use proprietary customer data to train third-party or general AI models.

Pricing

Alloy Planning is paid, with custom pricing. Prospective customers can book a demo; after a request, a sales representative will email within 24 hours to schedule an introductory call. This sales-led process suits buyers evaluating a specialized solution with their existing planning stack, but there is no published price to compare or self-serve option to try before engaging.

Platforms

Alloy Planning runs on the web. Alloy.ai also lists Snowflake, BigQuery, Databricks, Redshift and Azure Data Lake as warehouse destinations, and Tableau, Power BI, Looker, Kinaxis, Anaplan and SAP IBP among downstream tools.

Who it's for

Alloy Planning is purpose-built for consumer goods brands, particularly teams that need to connect retailer and SKU-level demand with inventory and shared sales and supply-chain plans. Its broad data ingestion and normalization may suit companies dealing with many retail, distribution and ERP feeds. It is a weaker fit for buyers who do not depend on retail signals, need transparent upfront pricing, or want to start without a demo and sales conversation.

Pros and cons

• Pros: Forecasts use retail point-of-sale and channel inventory data down to retailer and SKU level, aligning plans more closely with consumer-goods demand.
• Pros: Automated data harmonization, shared planning and exception alerts give teams a common workflow for responding to changes.
• Pros: The platform combines broad data ingestion, supply-chain visibility and AI agents with SAML, SOC 2 Type II and GDPR measures.
• Cons: Custom pricing and a demo-led process make it harder to assess cost or begin independently.
• Cons: Its specialized retail and consumer-goods focus is less compelling for organizations with different forecasting needs.

Alternatives

For buyers comparing demand-planning tools, Demand Planning Software is the broader category to explore. Choose frePPLe if a free open-source edition and API, Linux, self-hosted or web options matter more; its Cloud plan is capped at six scenarios. OpsFactor offers a free, self-hosted Community plan on Windows with selected statistical models and heuristic planning, making it a possible fit for teams prioritizing a no-cost starting point.

NETVIBES is another paid option, with a free plan and free trial. Infor Learning Management System is a paid alternative with a free trial. Consider Arkieva Demand Planning if you want a web or Windows demand-planning product and are willing to request a demo; Blue Ridge Supply Chain Intelligence is another quote-based subscription to discuss by demo. DELMIA Demand Planning may suit buyers seeking a Windows option with a quote based on package and business requirements. E2open Planning is a paid connected-planning alternative whose pricing requires contacting the provider.

Verdict

Choose Alloy Planning if you are a consumer goods brand that needs retailer-level demand signals, inventory data and coordinated planning in one workflow. Its clearest advantage is connecting granular retail demand to shared inventory and S&OP plans. Look elsewhere if you need transparent pricing, a self-serve trial, or a planning tool not centered on consumer-goods retail data.