Sponsor: Epicor

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.

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.

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.

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.

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.

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.

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.

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.

Elite EXTRA’s software suite is a last mile logistics solution that streamlines and automates logistics operations. Our innovative technology helps businesses save money while keeping up with consumers’ ever-growing demand for quick deliveries. With over 25 years of industry experience, we can offer an all-encompassing feature-set that makes our software extremely configurable to your business's wants and needs.

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.