Aera Technology Recognized in the 2025 Gartner® Market Guide for ADM Platforms for Supply Chain
As a leader in the growing area of decision intelligence, Aera Technology is proud to be listed in the 2025 Gartner Market Guide for Analytics and Decision-Making Platforms for Supply Chain1.
Surging Demand for ADM Platforms
The digitization of businesses today has brought new challenges and opportunities, intensifying the need for timely, accurate, and intelligent decision-making capabilities. This need is being felt across industries, but especially those that manage large and complex supply chains, resulting in a strong and rapidly growing market for advanced analytics and decision-making (ADM) platforms.
Consistent with this are some key findings from the report:
“Line of business teams are looking to speed up cross-functional decision making with near-real-time insights and unstructured content to quickly react to and prevent disruptions, allowing them to enhance the quality of decisions. Leaders now recognize that supply-chain-focused analytics and decision-making (ADM) platforms are enablers of flexibility and quicker time to value when dealing with a deluge of data.”
ADM Platforms Accelerate & Improve Decision Making
The report mentions the growing importance of ADM platforms in enabling real-time, AI-driven decisions that improve agility, resilience, and operational efficiency. By 2027, the report asserts, 50% of business decisions will be augmented or automated by AI agents. This shift underscores the need for supply chain organizations to adopt platforms that enable rapid, informed, and scalable decision-making.
“ADM platforms for supply chain management (SCM) help leaders achieve connected, contextual, continuous and compliant decisions. Leveraging composite AI — the combined application (or fusion) of different AI techniques — within a platform improves the platform’s learning efficiency and broadens its level of knowledge representations and AI abstraction mechanisms and provides a platform to solve a wider range of supply chain problems effectively.”
Aera Technology, in particular, is well positioned to lead the market in ADM platforms as the pioneer of decision intelligence (DI). Combining AI, automation, and data & analytics technologies, decision intelligence improves decision outcomes by understanding, designing and optimizing how decisions are made, resulting in more streamlined and efficient supply chain operations.
The Aera Decision Cloud™ is designed to speed up cross-functional decision-making with near-real-time insights, enabling organizations to react to disruptions swiftly and enhance the overall quality of decisions. And with AI integrated into the platform, it improves learning efficiency and broadens the range of decision-making use cases. This innovation allows organizations to address complex supply chain challenges more effectively.
Key Capabilities to Consider in an ADM Platform
In discussing the specifics of how ADM platforms augment decision-making in typical supply chain operations, the report discusses the capabilities common across such platforms:
“The main purpose of these platforms is the analysis of the data using capabilities such as modeling and optimization, which is the foundation for predictive and prescriptive analytics, among other capabilities. Hereby, different AI techniques and eventually a digital representation are leveraged to prescribe actions for manual, hybrid or automated execution. By ingesting, preparing and processing data — as well as learning throughout the process — such platforms also enable the coordination of decision-making processes across human decision makers and technology, fostering improvements of the decision quality across time horizons. They also allow organizations to respond more swiftly to changes and opportunities in a cross-functional environment.”
By leveraging advanced AI techniques like machine learning and optimization, ADM platforms analyze data from internal and external sources in near-real-time, offering actionable insights and enhanced situational awareness. The goal is to guide users toward informed decisions by transforming data into predictive and prescriptive insights. Typically cloud-hosted and subscription-based, these platforms provide scalability, flexibility, and collaboration between human decision-makers and technology, resulting in improved decision quality and better alignment with organizational goals through actionable, data-driven insights.
Similarly, the Aera Decision Cloud integrates AI, automation, and advanced analytics to transform organizational decision-making. Central to that integration of technology is Aera Agentic AI, which processes unstructured data from diverse sources, turning complex information into actionable insights and managing intricate workflows with ease. Its intuitive design enables users to create workflows and models using natural language, promoting innovation and collaboration. Agentic AI extracts data from sources like PDFs and images, integrating it into automated decision flows that deliver recommendations and execute actions, freeing up resources for higher-value tasks.
As a comprehensive, composable, scalable, and trusted platform, the Aera Decision Cloud redefines how decisions are made, fostering strategic thinking, seamless collaboration, and continuous improvement — all at scale, for even the largest supply chain operations. It allows organizations to build and adapt decision-making skills, harmonize data across systems into a unified decision model, and apply intelligence to evaluate scenarios, predict outcomes, and identify optimal solutions. Recommendations are then surfaced for review or applied automatically based on business rules, enabling supply chain managers to execute actions efficiently while capturing decision outputs. Over time, the platform continuously learns by recording and analyzing historical decisions and outcomes, refining future recommendations and driving deeper automation.
An ADM Platform That Puts People First
By leveraging low-code platforms, the report asserts, users in supply chain organizations can create analytical outputs without technical expertise, enabling faster, scalable decision support:
“Supply chain organizations are looking to discover insights that would have otherwise gone unnoticed within existing data, and to help explore wider data sources, while minimizing human biases and accelerating time to insight. There is a strong need to make timely and informed decisions, achieving the long-desired goal of enabling “decision support” at scale. Thereby, organizations would not have to rely on teams of analytical developers and data scientists doing time-consuming manual coding, but would instead use a low-code approach for business analysts and business technologists to create analytical content outputs. The analytics function is hereby moved to business users without the need for them to have technical knowledge, which speeds up the process.”
The Aera Decision Cloud, we believe, goes beyond enabling non-technical users with the autonomy to generate analytical output. With a people-first approach to decision intelligence, the platform empowers supply chain teams to manage the full spectrum of decisions, from fully automated and structured processes to complex, situational decisions requiring human input. This enhances both operational efficiency and team productivity, enabling management to focus on innovation, creativity, and higher-value initiatives.
Customers across industries such as consumer packaged goods, high-tech, energy, pharmaceuticals, and life sciences are already achieving measurable results with the Aera Decision Cloud. By building new decision-making skills and driving continuous improvement, these organizations are unlocking even greater potential for transformative outcomes. Aera remains committed to delivering cutting-edge innovation to shape the future of decision-making in the era of autonomous business.
To discover how the Aera Decision Cloud can accelerate your supply chain operations and deliver a measurable competitive advantage, request a demo today.
1Gartner, Market Guide for Analytics and Decision-Making Platforms for Supply Chain, By Christian Titze, Leonard Ammerer, David Pidsley, 14 January 2025.
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