Alloy.ai is an omnichannel revenue intelligence platform that integrates real-time sales and inventory data from various sources, including retailers and supply chain partners, to provide consumer brands with a unified view of their operations. The platform enhances demand forecasting and inventory management, enabling brands to identify sales opportunities and mitigate stock shortages, ultimately increasing revenue and reducing excess inventory.
Funding
$12M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Consumer brands often struggle with fragmented sales and inventory data scattered across retailers, e-commerce platforms, distributors, and internal systems. This lack of a unified view hinders accurate demand forecasting, leads to stockouts or excess inventory, and limits the ability to identify and capitalize on sales opportunities.
Solution
Alloy.ai provides an omnichannel revenue intelligence platform that consolidates real-time sales and inventory data from various internal and external sources into a single, normalized view. The platform enables consumer brands to visualize and analyze sales trends, track inventory levels, and gain insights into consumer demand. By leveraging AI and machine learning, Alloy.ai helps brands identify sales opportunities, predict potential problems like stock shortages, and optimize inventory management for increased revenue and improved supply chain performance. The platform integrates with existing data warehouses, BI tools, and planning applications, providing a seamless flow of information across the organization.
Target Audience
Alloy.ai primarily targets consumer brands that sell through multiple channels and need a unified view of their sales and inventory data to improve demand forecasting and optimize supply chain performance.
Features
- Connects to retailers, e-commerce platforms, distributors, 3PLs, ERP systems, data warehouses, and BI tools.
- Normalizes disparate data, including location, product ID, units of measurement, and time, for a unified view.
- Provides real-time visibility into cross-channel point-of-sale (POS) performance.
- Identifies critical week-over-week changes in business performance using AI.
- Detects lost sales due to out-of-stock situations and recommends corrective actions.
- Generates POS forecasts at the store/SKU level based on consumer demand patterns.
- Identifies upcoming inventory shortages or excess supply with AI-powered alerts.
- Offers retail replenishment recommendations, including automated order quantity calculations for Walmart NOVA.