Demand and inventory control tower for consumer brands providing insights and analytics.
Alloy.ai is a Business analytics and supply chain intelligence platform that serves as a demand and inventory control tower for consumer brands, unifying retailer POS data, warehouse stock, and shipments into a single source of truth, with enterprise pricing available upon request. It is designed for mid-market and enterprise consumer goods manufacturers selling through retailers like Walmart, Target, Amazon, and Home Depot who need real-time visibility across distribution channels.
The platform ingests data from 100+ retailers, 3PLs, distributors, and ERPs, harmonizing it into a unified data model that powers both the native Lens analytics application and downstream destinations like Snowflake, Databricks, Tableau, Power BI, and demand planning systems. Core capabilities include point-of-sale trend analysis, lost sales detection, retail POS forecasting, inventory visibility across the supply chain, warehouse stock risk alerts, allocation insights, excess inventory identification, and promotion performance measurement. Alloy.ai applies artificial intelligence and machine learning to surface anomalies, predict out-of-stocks, and recommend replenishment actions before problems hit store shelves.
Based on our analysis of 870+ AI tools in our directory, Alloy.ai stands out in the narrow category of consumer goods supply chain analytics, differentiating from horizontal BI tools like Tableau or Looker by offering pre-built CPG-specific data models and retailer integrations out of the box. Compared to enterprise competitors like SAP IBP or o9 Solutions, Alloy.ai is lighter-weight and faster to deploy, making it a strong fit for growth-stage brands that have outgrown spreadsheets but don't need a full-blown supply chain suite. Industries served include consumer electronics, food and beverage, home goods, home improvement, office supplies, and general consumer packaged goods.
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Alloy.ai connects directly to retailer portals and EDI feeds to ingest daily or weekly point-of-sale data from Walmart, Target, Amazon, Home Depot, and many others. The data is harmonized into a consistent schema so SKUs, stores, and time periods align across retailers. This removes the need for brands to build and maintain custom scrapers or ETL jobs for each retailer.
Lens is Alloy.ai's native analytics interface, offering pre-built dashboards for POS trends, lost sales, forecasts, and inventory. It is designed for business users in sales and supply chain who need answers without writing SQL. Role-based views serve sales, supply chain, C-suite, and IT teams from the same dataset.
Using AI and sales velocity patterns, Alloy.ai identifies SKU-store combinations where actual sales fall below expected due to out-of-stocks, phantom inventory, or distribution gaps. The platform quantifies the revenue impact and highlights where corrective action is needed. This is a revenue-recovery use case that often justifies the platform investment on its own.
Alloy.ai combines warehouse stock levels from 3PLs and distributors with retailer on-hand inventory to give a complete view from factory to shelf. Warehouse stock risks and excess retail inventory alerts flag problems before they become stockouts or markdowns. Allocation insights help supply chain teams prioritize limited inventory across channels.
Beyond its own interface, Alloy.ai functions as a managed pipeline to data warehouses (Snowflake, Databricks), BI tools (Tableau, Power BI), and demand planning systems. This lets analytics and IT teams use harmonized retailer data in their existing stack rather than replacing it. The dual role as both an app and a data platform is a key architectural differentiator.
Custom pricing, estimated $50,000â$250,000+/year
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In 2025-2026, Alloy.ai expanded its retailer integration network beyond 100 connectors, adding deeper coverage for grocery and club channels. The platform introduced enhanced AI-powered POS forecasting models with improved accuracy for promotional periods and seasonal demand shifts. New data destination connectors were added for Databricks and additional demand planning systems, strengthening its role as a CPG data pipeline. Alloy.ai also rolled out updated Lens dashboards with improved cross-retailer benchmarking and self-service analytics capabilities for business users. The company continued to grow its customer base among mid-market consumer brands in categories including food and beverage, consumer electronics, and home improvement.
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