Turn data into decisions with trustworthy AI that powers productivity, safety, agility and growth

SAS offers a powerful AI and data-driven analytics platform, powered by SAS Viya, that enables manufacturers to optimize production, reduce costs, improve quality, boost safety, reduce risk and drive sustainability. With manufacturing data analytics from SAS, you can deliver financially impactful results fast.

SAS provides solutions in areas like digital twins, supply chain optimization, worker safety, captive finance, manufacturing quality, OEE optimization, predictive maintenance, warranty cost reduction, upskilling employees, forecasting accuracy, energy optimization and more.

• Georgia-Pacific achieved a 10% improvement in OEE and reduced unplanned downtime by 30% with SAS Viya on AWS. The company also saved $8+ million by using an AI agent and SAS Viya to upskill workers, then unlocked millions more in savings using SAS next-generation digital twin solutions.
• Lockheed Martin saved 2,000 maintenance downtime hours in only six months, achieved predictive maintenance and reduced data cleanup by 95% with SAS Viya.
• SSAB decreased accidents, cut unplanned/unwanted events by 80% and achieved predictive maintenance with SAS Viya.
• Volvo Trucks and Mack Trucks reduced diagnostics time by 70% and repair time by 25%, cut warranty costs by 4% – 6%, realized a total benefit of $46.7 million and achieved a very high Net Promoter Score with SAS AI Solutions.
• Wienerberger AG used SAS Viya to reduce specific energy consumption, cut the time it took to tune a plant from months to days, gain new insights into KPIs and even win the 2021 MIMA award for Sustainability from Roland Berger and Microsoft.
• American Honda achieved forecasting within 1% accuracy, saved a week on reporting warranty data, gained 3x faster claims analysis, found 2x+ noncompliant claims and reduced labor costs for 52% of labor codes using SAS AI Solutions.

Digital twins are dynamic virtual models that simulate real-world operations. Powered by SAS Viya and Epic Games’ Unreal Engine, SAS digital twin software allows manufacturers to improve processes, optimize warehouse space, forecast outcomes and innovate without interrupting production.

With supply chain optimization software for end-to-end scenario planning, demand forecasting, inventory optimization, risk detection and visualization tools – all powered by AI to improve supply chain efficiency and resilience.

SAS delivers AI- and IoT-powered worker safety solutions, like computer vision, to detect unsafe behaviors in real time, prevent workplace accidents and help companies proactively manage worker safety.

Lessen the effects of a manufacturing labor shortage by using SAS LLMs to create chatbots (copilots) using streaming data, manuals, SOPs and processes to upskill less experienced workers. These chatbots provide how-to instructions and guide the next-best action, upskilling employees to help them make better, faster decisions.

SAS offers powerful predictive maintenance solutions that enable manufacturers to detect issues before they occur by forecasting asset life cycles and prescribing asset maintenance actions, resulting in greater uptime and reliability as well as lower unplanned maintenance costs, operational disruptions and safety hazards.

With manufacturing quality software from SAS, gain a holistic view of quality across the enterprise and solve the challenges of quality control, production inefficiencies, rising costs and waste, customer satisfaction and disparate data sources.

Energy cost optimization solutions from SAS combine and analyze IoT and process data from across the production process, use prebuilt analytic models to predict specific energy consumption and make sense of variable impacts. These solutions empower production operators to quickly tune the process recipe setpoints, accelerating time to value and delivering energy savings.

SAS is recognized as a Leader in AI/ML platforms and data science by Forrester and Gartner in 2024. Its unified Viya platform simplifies innovation, governance and analytics deployment, all at enterprise scale.