At its annual SAS Innovate conference, SAS is unveiling a suite of new AI agents and industry accelerators, with the SAS Supply Chain Agent as its flagship product. This new tool aims to revolutionize supply and operations planning by providing continuous automation.
Traditionally, organizations conduct supply and operations planning (S&OP) monthly, a resource-intensive process that often requires teams from various departments to dedicate days to manage inventory for an upcoming six to twelve months. SAS is seeking to transform this conventional approach.
During SAS Innovate, the company introduced the SAS Supply Chain Agent, which is currently available in private preview and is expected to be rolled out to enterprises globally. This product is part of SAS’s broader strategy, supported by a $1 billion investment in developing industry-specific AI solutions.
The SAS Supply Chain Agent operates continuously to optimize the balance between demand, supply, and operations. Users can simulate various scenarios, such as a 15 percent decline in demand, and receive detailed explanations of how the agent formulates its recommendations. This transparency is intended to enhance user trust and understanding. Through an intuitive chat interface, employees can query the system and investigate operational bottlenecks at any time, rather than waiting for the typical planning cycle.
Last year’s Innovate conference saw the launch of several ready-to-use industry models aimed at various sectors, including supply chain optimization, fraud detection, and public sector applications. This year, SAS is expanding its portfolio significantly.
In addition to the Supply Chain Agent, SAS is showcasing a wider range of technologies. A notable highlight is the digital twin technology, which utilizes Epic Games’ Unreal Engine to simulate industrial environments. This was demonstrated at SAS Innovate 2025, where a medical device manufacturer showcased its use of the technology to identify and resolve bottlenecks in sterilization processes.
Another significant offering is SAS Worker Safety, which combines digital twins, synthetic data, and computer vision to enhance workplace safety. Once trained, the models can be integrated into factory camera systems to provide real-time alerts when workers do not wear protective equipment correctly.
For the financial sector, SAS has introduced Fraud Decisioning for Payments, which offers real-time fraud detection capabilities. These models are trained using data from major international financial institutions and encompass a wide variety of fraud types, including credit card, ATM, and digital wallet fraud.
“When organizations are left stitching together ad-hoc AI frameworks and experiments, they often fail to achieve the competitive edge they’re looking for when they invest in AI,” noted Manisha Khanna, Global Market Strategy Lead for Applied AI at SAS. The company emphasizes that its industry accelerators provide production-ready agents and models that can utilize data already in the hands of customers.
The introduction of the SAS Supply Chain Agent and the expansion of SAS’s technology portfolio reflect a broader trend in the industry, where companies are increasingly looking for solutions that not only automate but also enhance transparency and decision-making. As organizations face growing pressures from dynamic market conditions, tools that facilitate continuous planning and real-time insights may prove invaluable in maintaining competitiveness.
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