Solutions for Consumer Goods

A high-performance, customer-centric merchandise planning system that uses powerful retail analytics to power your omnichannel business strategy. The SAS® Intelligent Planning focuses on capturing demand signals for where, how and when demand is generated and senses customer demand across each channel. Patented forecasting techniques with machine learning and artificial intelligence allow you to generate precise forecasts even at the stock-keeping level. Accurate estimation of demand volatility in the forecasting process leads to tightening of safety stock levels. An accurate demand plan ensures the right products are stocked at the right time and at the right locations.

Build Demand Forecasts at Scale. Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook. Demand forecasting is the process of leveraging historical data and other analytical information to build models that help predict future estimates of customer demand for specific products over a specific period. It helps shape product road map, inventory production and inventory allocation, among other things. Save hours of discovery, design, development and testing with Databricks Solution Accelerators. Our purpose-built guides — fully functional notebooks and best practices — speed up results across your most common and high-impact use cases. Go from idea to proof of concept (PoC) in as little as two weeks. Start using Solution Accelerators with your free Databricks trial or your existing account.

Achieve performant and scalable end-to-end equipment monitoring on top of the Databricks Lakehouse platform with this pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook.