Artificial Intelligence (AI) is fast becoming a critical component of business operations for manufacturers. As AI becomes more established, manufacturing executives need to keep pace by understanding its implications and potential benefits.

At Epicor, we’re developing more than just a chatbot. Epicor Prism is a network of vertical AI agents that utilize the power of large language model (LLM) services. Prism is already available in Epicor Kinetic, our global cloud ERP for manufacturers, and our long-term vision is for Epicor Prism to serve as the user interface for LLM-enabled processes across all Epicor ERP platform.

Access our eBook to get a clear understanding of how you can apply AI to improve your manufacturing business.

Implementing a single enterprise resource planning (ERP) system can enable manufacturers to:

• Access information easily.
• Automate common tasks.
• Scale business processes.

Download this white paper to learn 5 key strategies for helping ensure a smooth ERP implementation.

According to the “IDC MarketScape Worldwide Saas and Cloud-Enabled Operational ERP Applications 2024-2025 Vendor Assessment” report, 43% of manufacturers plan to adopt new ERP solutions within two years—with many prioritizing generative AI. Businesses are shifting to AI-powered cloud ERP to improve compliance, security, and agility. Key drivers include regulatory changes, data center modernization, and the move from capital to operational expenditure models.

In the report, you’ll learn about strengths, weaknesses and challenges of modern ERP systems, including:

• Strengths: Scalability, real-time analytics, and AI automation boost efficiency and cost savings.
• Weaknesses: Integration challenges, high implementation costs, and customization limitations hinder adoption.
• Challenges: Meeting AI automation demands, enhancing cybersecurity, and improving user experience while maintaining reliability.

Get the report to see how AI-driven ERP systems re automate workflows, enhance decision-making, and give manufacturers a competitive advantage.

Artificial Intelligence (AI) is fast becoming a critical component of business operations for manufacturers. As AI becomes more established, manufacturing executives need to keep pace by understanding its implications and potential benefits.

At Epicor, we’re developing more than just a chatbot. Epicor Prism is a network of vertical AI agents that utilize the power of large language model (LLM) services. Prism is already available in Epicor Kinetic, our global cloud ERP for manufacturers, and our long-term vision is for Epicor Prism to serve as the user interface for LLM-enabled processes across all Epicor ERP platform.

Access our eBook to get a clear understanding of how you can apply AI to improve your manufacturing business.

Implementing a single enterprise resource planning (ERP) system can enable manufacturers to:

• Access information easily.
• Automate common tasks.
• Scale business processes.

Download this white paper to learn 5 key strategies for helping ensure a smooth ERP implementation.

According to the “IDC MarketScape Worldwide Saas and Cloud-Enabled Operational ERP Applications 2024-2025 Vendor Assessment” report, 43% of manufacturers plan to adopt new ERP solutions within two years—with many prioritizing generative AI. Businesses are shifting to AI-powered cloud ERP to improve compliance, security, and agility. Key drivers include regulatory changes, data center modernization, and the move from capital to operational expenditure models.

In the report, you’ll learn about strengths, weaknesses and challenges of modern ERP systems, including:

• Strengths: Scalability, real-time analytics, and AI automation boost efficiency and cost savings.
• Weaknesses: Integration challenges, high implementation costs, and customization limitations hinder adoption.
• Challenges: Meeting AI automation demands, enhancing cybersecurity, and improving user experience while maintaining reliability.

Get the report to see how AI-driven ERP systems re automate workflows, enhance decision-making, and give manufacturers a competitive advantage.

AI is becoming increasingly practical and intuitive. Established systems like Enterprise Resource Planning (ERP) are embedding AI directly into business processes, boosting efficiency while reducing costs.

Launching AI strategies from within an ERP system makes it easier to reap the benefits of AI without the complexity of lengthy, expensive integrations. Whether you’re just starting out with AI or already innovating around this emerging technology, this guide will help you strategize effectively, embrace new possibilities, and answer important questions about the advantages of AI in the landscape of building supply.

Embracing innovation is not just an option—it’s a necessity. The key to unlocking your business’s full potential lies in combining cloud computing and artificial intelligence (AI) within your Enterprise Resource Planning (ERP) system.

The cloud ERP market is projected to soar at a compound annual growth rate (CAGR) of 18% by 2030. Keeping pace with this evolution, 52% of businesses are already harnessing AI in their ERP to supercharge important decision-making processes.

Download this eBook to revolutionize your business and ERP system with the power of cloud and AI. You’ll discover the benefits these technologies bring to the table, from increased agility and scalability to streamlined operations and enhanced customer experiences.

Artificial Intelligence (AI) is transforming the building supply industry. By taking the time to explore this guide, you’re already positioning yourself to move ahead of the knowledge curve.

While 85% of executives intend to increase their investment in AI, the path to AI adoption isn’t always clear. Recent studies show that 40% of companies are still in the AI exploration phase, held back by a lack of clear guidance and strategic planning.

This guide aims to bridge that gap in four actionable stages:

• Developing a clear vision for AI adoption
• Creating your AI game plan
• Rolling out effective AI strategies
• Using AI safely in the short- and long-term