Sponsor: Epicor

Madsen’s Custom Cabinets: AI-Powered ERP Case Study

For more than 60 years, Madsen’s Custom Cabinets has built a reputation for craftsmanship and quality. But as the company grew, so did the complexity of managing projects, schedules, and communication across a diverse workforce. To keep pace, they modernized with Epicor Kinetic ERP in the cloud and became early adopters of Epicor Prism AI.

The result? A smarter, more connected operation that helps the team move faster and focus on what matters most.

With AI-powered ERP, Madsen’s can:

  • Streamline scheduling and automate routine updates
  • Strengthen communication across customers, suppliers, and teams
  • Empower skilled employees to focus on growth and innovation

Read the full success story to see how AI + ERP is driving measurable results.

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How to Start an AI Initiative—And Scale it with Success

Starting your next transformation project? Before you invest in AI, make sure your foundation is ready. In this new IDC Spotlight Report, discover how manufacturers are building the infrastructure, governance, and integration needed to scale AI initiatives successfully. Learn how to break free from pilot projects, overcome data silos, and drive productivity across every part of your operation.

You’ll learn how to:

  • Build a digital foundation that supports scalable, data-driven AI initiatives
  • Transform early AI experiments into measurable business impact

If you’re planning your first AI project—or ready to take the next step—this report offers a clear roadmap to move from concept to competitive advantage.

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Why Your ERP Needs AI

Your ERP already holds the key to unlocking next-level performance—AI turns that potential into action. See how AI-powered ERP helps manufacturers move faster, work smarter, and compete with confidence:

  • Transform messy shop-floor data into real-time insights
  • Automate scheduling and minimize downtime
  • Improve forecasting accuracy and inventory control
  • Empower your workforce with intuitive, data-driven tools
  • Start small, prove ROI, and scale success across your operations

Discover how integrating AI with your ERP can accelerate decision-making, drive productivity, and prepare your business for the future of manufacturing.

Download the guide and take the first step toward AI-driven performance.

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What Manufacturing Business Leaders Need to Know about AI

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.

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5 Tips for a Successful ERP Implementation

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.

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Cloud ERP: Transforming Business Operations in 2025

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.

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The Evolution of the Automotive Aftermarket Outlook

The global automotive aftermarket is in a transformative era, driven by disruptive vehicle technologies, shifting consumer behaviors, new business models, and increased vehicles in operation (VIO). Frost & Sullivan’s research has identified the top transformations currently facing businesses in this market; these can serve as both challenges and new growth opportunities. Our new VBook empowers you with actionable strategies to help your business thrive and lead the way forward in the aftermarket industry.

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Data at the Core of the Aftermarket

The automotive aftermarket thrives on data, driving precision, speed, and customer satisfaction. Manufacturers, parts distributors, and service dealerships need advanced data-centric tools for profitable operations and great customer experiences.

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ERP Meets Last-Mile Logistics: Key Features for Building Bigger Profits

Today’s supply chains are increasingly complex. From the time someone places an order to product delivery to payment, there are numerous steps for logistics and finance teams. Integrating enterprise resource planning (ERP) systems with specialized last-mile logistics system can streamline this complicated process. While ERP systems are the foundation for business operations, a last-mile logistics system provides the tools you need for real-time tracking, route optimization, proof of delivery, returns management, and more. An automated and streamlined workflow manages much of the work and ensures your data is always up-to-date. Integration creates a unified system that improves customer satisfaction, creates significant efficiencies, and produces demonstrable bottom-line savings.

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Don’t Trust Your Gut: Become a Data-Driven Parts Distributor

Data-focused companies gain unique insights that prevent lost revenue and reduce unnecessary expenses. Leveraging data for strategic decisions optimizes supply chains, enhances customer experiences, and improves business processes. However, many parts distributors haven't yet realized its value. Start with this actionable guide to becoming a "data-driven parts distributor," capable of transforming data into growth. It outlines seven key challenges in collecting, organizing, analyzing, and acting on data, providing practical advice to overcome these obstacles.

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Top Seven Reasons You Need Digital Asset Management Software Today

Digital Asset Management (DAM) systems are more than just a central system for managing and sharing your images, videos, PDFs, and audio files. A DAM system can also help to increase operational efficiency, accelerate revenue growth, and uphold customer-centric value.

Epicor DAM software centralizes asset storage in a single location to save you time and money. It is also designed for the Automotive Aftermarket, ensuring an industry-compliant solution. Download this infographic now and transform the way your business manages its digital assets.

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What Manufacturing Business Leaders Need to Know about AI

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.

View Now

5 Tips for a Successful ERP Implementation

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.

View Now

Cloud ERP: Transforming Business Operations in 2025

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.

View Now

Don’t Trust Your Gut: Become a Data-Driven Parts Distributor

Data-focused companies gain unique insights that prevent lost revenue and reduce unnecessary expenses. Leveraging data for strategic decisions optimizes supply chains, enhances customer experiences, and improves business processes. However, many parts distributors haven't yet realized its value. Start with this actionable guide to becoming a "data-driven parts distributor," capable of transforming data into growth. It outlines seven key challenges in collecting, organizing, analyzing, and acting on data, providing practical advice to overcome these obstacles.

View Now