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.

Our simplified ERP solutions have food and beverage industry functionality built in for operational excellence, product lifecycle management, supply chain planning, and asset management. We make it easier for you to improve food safety, minimize waste, and provide greater supply chain transparency.

ketteQ's customers use their suite of microservices built on Salesforce and AWS clouds to integrate and automate sales and operations for use cases in both product and service supply chains.

Anaplan's Connected Planning platform enabled to run on AWS cloud infrastructure.

Supply Chain Planning Suite includes Inventory Planning, Production Planning, Sales and Operations Planning (S&OP), Strategic Network Design, Supply Chain Analytics & Visibility, Supply Planning, Transportation Planning, Demand Planning and Vendor Collaboration.

M Cloud is an innovative and disruptive technology offering designed specifically to better manage the sales and distribution of consumer-packaged goods. This cloud-based ERP solution delivers proven and reliable enterprise-level solutions designed to improve performance and increase profitability.

As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

Leading Indicator Driven, Greater Accuracy, Less Bias, Explainability, Greater Productivity, and Improved Collaboration across Sales, Supply Chain and Finance around Forecasts and Gaps.

Demand Forecasting accurately predicts demand at scale and explains impact of demand drivers

Hyper volatility is the new normal. Building an accurate demand plan in this context is a tough challenge for any company. The key lever to make the difference in this situation is to perform a demand plan closer to the consumers, leveraging unprecedented volumes of data. Relying on Machine Learning, Forecast at Scale and Trade Promotions Management technological capabilities, FuturMaster Bloom Demand Planning solution is a unique platform, which combined with data and business expertise, will not only make an accurate demand plan, but will also transform forecasting into a competitive advantage.

The product suite solves for the majority of the revenue leakages in the Supply Chain operations. ​