Alloy.ai CPG Data Platform

**Overview**
Consumer brands use Alloy.ai to ingest point-of-sale data from retail and ecommerce partners, then easily integrate normalized, real-time sales and inventory data — by location, by store, by SKU — into data warehouses or data lakes, BI tools, planning solutions and more. Alloy.ai is trusted by companies ranging from the Fortune 500 to digital natives, including Crayola, Bic, Valvoline, RTIC, Bosch and Melissa & Doug.

Alloy.ai has pre-built connectors to 350+ data sources, including EDI and support for most popular ERPs. We manage and update the ETL pipeline — letting your team focus on the more critical parts of your business.

The platform automatically normalizes data across product, location, time and metric dimensions. Normalized data is made available via Databricks data share, updated on the go. The data model is a unified, simple-to-use star schema-based model.

Alloy.ai generates seasonality-and anomaly-aware forecasts out of the box that help fill in the gaps of retailers that do not provide their own forecasts, and exceeding the accuracy of some retailer forecasts.

**Use cases**

Alloy.ai supports a broad variety of use cases with its data platform, such as:

- **Demand Forecasting**: Alloy.ai provides built-in two different POS forecasting models out of the box with the data platform: a seasonality-adjusted model, and a robust, GAM-based model. These model perform on par with many retailer forecasts and provide a baseline that gives your data science and planning teams forecasting coverage across your retail partner base.
- **Location Geocoding**: Alloy.ai automatically pulls in up-to-date location master data for retail partners and augments all POS location data with geocoding for geospatial analysis.
- **Data Quality and Cleansing**: Alloy.ai works with data from 350+ different sources, including EDI, ERP and other complex data sources. Feeds and APIs change all the time -we take care of updating the pipeline and do ETL on your behalf, so your team can focus on insights.
- **Supply Chain & ERP**: Alloy.ai processes sales and inventory, as well as shipments, orders and receipts data. The data is brought into a unified data model for accurate visibility into both upstream and downstream supply. This data model powers an actionable simulation and recommendation engine that helps avoid out-of-stocks.
- **Inventory Management**: Monitor inventory levels and trends with real-time visibility across your network and your retailers’ and distributors’ networks.
- **Retail and ecommerce POS reporting**: Alloy.ai lets you pipe in data from 350+ retailers, ecommerce providers and distributors to get a near real-time view of your business. Whether you need the latest daily sales data at item-location granularity or exec-level , cross-retailer insights, the data is available in Databricks as Alloy.ai processes it.

**Product details**
Alloy.ai provides normalized data to Databricks via a star schema - three tables of normalized products, locations and data at the finest granularity available.

This sample contains data for 2 months for a small number of products and locations. A licensed Alloy.ai customer will have 2 years of data across all of their products and locations - up to 100k+ products sold across 100k+ locations globally.

As a data engineer, you won't have to look up across hundreds of tables to build out cross-retailer queries - all of the data is in a normalized model from the get go.

搜集汇总

背景与挑战

背景概述

Alloy.ai CPG数据平台提供全球范围内标准化处理的零售POS和供应链数据，涵盖350+数据源的实时销售、库存及地理位置信息，采用星型数据模型每小时更新。平台内置需求预测、地理编码等功能，支持供应链管理、库存监控等商业分析场景。