GAINS vs SAS Intelligent Inventory Management

GAINS DEO is a supply chain decision platform connecting strategic design, planning, and execution for manufacturers, distributors, and retailers. Its capabilities combine AI and machine learning, optimization, workflow automation, data science, decision science, and distributed systems engineering. Listed functions include demand planning, inventory optimization, replenishment, scenario planning, supplier management, logistics planning, and fulfillment management. GAINS says its Demand Forecast Factory creates period-specific AI models up to 60 months out, and that demand planning can improve forecast accuracy by up to 35%. The company also says its machine-learning-driven replenishment can automate up to 90% of buying decisions. GAINS Connect exchanges data in real time with systems including SAP, Oracle NetSuite, and Salesforce through APIs and webhooks. It supports recommendations such as purchase, transfer, and work orders. Deployment options include cloud and on-premise, along with extensions to legacy environments or assembled industry-specific solutions. GAINS describes phased rollouts through its Proven Path to Performance methodology and says it has a 100% implementation success rate. Support resources include application guides, reporting information, a video library, and GAINS University training. Pricing is available on request.

SAS Intelligent Inventory Management is a web-based suite for retail and consumer packaged goods companies planning sizes, purchasing and inventory. It combines SAS Size Optimization and SAS Inventory Optimization, using historical sales, analytics and machine learning to produce size, demand and inventory intelligence. Size features create demand-based profiles, support event scenarios, detect active size ranges and work across hierarchy levels. Products can be grouped by hierarchy or attributes, with new products matched to attribute profiles. Pack recommendations can apply usage and variation constraints, combine packs with bulk and account for supply-chain costs, lifecycle changes and promotions. Inventory planning calculates stock levels across the supply chain and supports replenishment policies based on lead times, costs and target service levels. What-if analysis compares scenarios, proposal costs and policy effects across single- and multi-echelon networks. SAS says the Viya version can deploy on Microsoft Azure and Amazon Web Services, but SAS Intelligent Inventory Optimization is unavailable on Viya from release 2024.04 onward.