Businesses today face increasing pressure to turn data into actionable insights across every function—finance, supply chain, sales, and operations. Yet, many organizations remain hampered by siloed systems, legacy ERP platforms, and inconsistent data that slow decision-making and increase costs. At the same time, demand for generative AI, predictive analytics, and automation is surging, particularly among mid-market companies looking for productivity and efficiency gains.
To meet these challenges, organizations are looking to ERP systems that embed AI and machine learning directly into workflows. A modern, cloud-based ERP doesn’t just serve as a system of record—it becomes a system of action, unifying data, automating processes, and surfacing predictive insights to help businesses optimize inventory, streamline fulfillment, manage pricing, and improve quality control.
In our latest market report, From Data to Decisions: How ERP-Embedded AI/ML Makes Predictive Insights Accessible, produced in partnership with Epicor, Futurum Research explores how ERP-embedded AI/ML can deliver smarter, faster decisions and reduce time-to-value for manufacturers and distributors.
In this report, you will learn:
- Why AI, predictive analytics, and automation top the priority list for mid-market enterprises.
- How embedded AI/ML in ERP platforms helps overcome data silos, integration, and governance challenges.
- Ways predictive insights improve inventory management, pricing, and quality assurance.
- How Epicor’s Grow Data Platform and Ascend with Epicor program accelerate modernization with no-code tools and AI-driven migration.
- Why embedding AI/ML turns ERP from a transactional backbone into a predictive, future-ready decision engine.
Discover how ERP-embedded AI/ML can unlock predictive insights and transform decision-making in your organization. Download your copy of From Data to Decisions: How ERP-Embedded AI/ML Makes Predictive Insights Accessible today.
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Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
