Terms of the deal were not disclosed in either dollar amounts or comparative stakes, so the new ownership structure is unclear. But the firms said that CVC had agreed to acquire a “significant ownership position” in the software company. In the future, both investors will have an equal number of board seats, with Jeff Hawn continuing to serve as chairman and Steve Murphy continuing in his role as CEO.
Epicor serves approximately 23,000 customers in more than 150 countries. The company says its software is designed to fit the precise needs of customers in a range of industrial sectors in the “Make, Move, and Sell” economy.
Epicor itself has been growing through acquisition in recent months, buying up targets such as Kyklo—which provides product information management (PIM) and lead generation solutions—and Smart Software, which makes cloud-based, AI-driven inventory planning and optimization (IP&O) applications.
Since CD&R’s acquisition of Epicor in 2020, the company recently surpassed $1 billion in annual recurring revenue (ARR) as a result of organic growth, including a transformation into a SaaS-first company, as well as acquisitions which expanded its product capabilities and geographic reach, CD&R said.
“We look forward to enhancing Epicor’s next chapter of growth with further SaaS migration and geographic expansion into international regions, while continuing to drive product innovation that will benefit Epicor’s many valued customers, partners and employees,” Sebastian Künne, senior managing director at CVC, said in a release.
Editor's note:This article was revised on August 14 to clarify the terms of the deal.
That changing landscape is forcing companies to adapt or replace their traditional approaches to product design and production. Specifically, many are changing the way they run factories by optimizing supply chains, increasing sustainability, and integrating after-sales services into their business models.
“North American manufacturers have embraced the factory of the future. Working with service providers, many companies are using AI and the cloud to make production systems more efficient and resilient,” Bob Krohn, partner at ISG, said in the “2024 ISG Provider Lens Manufacturing Industry Services and Solutions report for North America.”
To get there, companies in the region are aggressively investing in digital technologies, especially AI and ML, for product design and production, ISG says. Under pressure to bring new products to market faster, manufacturers are using AI-enabled tools for more efficient design and rapid prototyping. And generative AI platforms are already in use at some companies, streamlining product design and engineering.
At the same time, North American manufacturers are seeking to increase both revenue and customer satisfaction by introducing services alongside or instead of traditional products, the report says. That includes implementing business models that may include offering subscription, pay-per-use, and asset-as-a-service options. And they hope to extend product life cycles through an increasing focus on after-sales servicing, repairs. and condition monitoring.
Additional benefits of manufacturers’ increased focus on tech include better handling of cybersecurity threats and data privacy regulations. It also helps build improved resilience to cope with supply chain disruptions by adopting cloud-based supply chain management, advanced analytics, real-time IoT tracking, and AI-enabled optimization.
“The changes of the past several years have spurred manufacturers into action,” Jan Erik Aase, partner and global leader, ISG Provider Lens Research, said in a release. “Digital transformation and a culture of continuous improvement can position them for long-term success.”
The less-than-truckload (LTL) industry moved closer to a revamped freight classification system this week, as the National Motor Freight Traffic Association (NMFTA) continued to spread the word about upcoming changes to the way it helps shippers and carriers determine delivery rates. The NMFTA will publish proposed changes to its National Motor Freight Classification (NMFC) system Thursday, a transition announced last year, and that the organization has termed its “classification reimagination” process.
Businesses throughout the LTL industry will be affected by the changes, as the NMFC is a tool for setting prices that is used daily by transportation providers, trucking fleets, third party logistics service providers (3PLs), and freight brokers.
Representatives from NMFTA were on hand to discuss the changes at the LTL-focused supply chain conference Jump Start 25 in Atlanta this week. The project’s goal is to make what is currently a complex freight classification system easier to understand and “to make the logistics process as frictionless as possible,” NMFTA’s Director of Operations Keith Peterson told attendees during a presentation about the project.
The changes seek to simplify classification by grouping similar items together and assigning most classes based solely on density. Exceptions will be handled separately, adding other characteristics when density alone is not enough to determine an accurate class.
When the updates take effect later this year, shippers may see shifts in the LTL prices they pay to move freight—because the way their freight is classified, and subsequently billed, could change as a result.
NMFTA will publish the proposed changes this Thursday, January 30, in a document called Docket 2025-1. The docket will include more than 90 proposed changes and is open to industry feedback through February 25. NMFTA will follow with a public meeting to review and discuss feedback on March 3. The changes will take effect July 19.
NMFTA has a dedicated website detailing the changes, where industry stakeholders can register to receive bi-weekly updates: https://info.nmfta.org/2025-nmfc-changes.
Artificial intelligence (AI) and the economy were hot topics on the opening day of SMC3 Jump Start 25, a less-than-truckload (LTL)-focused supply chain event taking place in Atlanta this week. The three-day event kicked off Monday morning to record attendance, with more than 700 people registered, according to conference planners.
The event opened with a keynote presentation from AI futurist Zack Kass, former head of go to market for OpenAI. He talked about the evolution of AI as well as real-world applications of the technology, furthering his mission to demystify AI and make it accessible and understandable to people everywhere. Kass is a speaker and consultant who works with businesses and governments around the world.
The opening day also featured a slate of economic presentations, including a global economic outlook from Dr. Jeff Rosensweig, director of the John Robson Program for Business, Public Policy, and Government at Emory University, and a “State of LTL” report from economist Keith Prather, managing director of Armada Corporate Intelligence. Both speakers pointed to a strong economy as 2025 gets underway, emphasizing overall economic optimism and strong momentum in LTL markets.
Other highlights included interviews with industry leaders Chris Jamroz and Rick DiMaio. Jamroz is executive chairman of the board and CEO of Roadrunner Transportation Systems, and DiMaio is executive vice president of supply chain for Ace Hardware.
Jump Start 25 runs through Wednesday, January 29, at the Renaissance Atlanta Waverly Hotel & Convention Center.
That is important because the increased use of robots has the potential to significantly reduce the impact of labor shortages in manufacturing, IFR said. That will happen when robots automate dirty, dull, dangerous or delicate tasks – such as visual quality inspection, hazardous painting, or heavy lifting—thus freeing up human workers to focus on more interesting and higher-value tasks.
To reach those goals, robots will grow through five trends in the new year, the report said:
1 – Artificial Intelligence. By leveraging diverse AI technologies, such as physical, analytical, and generative, robotics can perform a wide range of tasks more efficiently. Analytical AI enables robots to process and analyze the large amounts of data collected by their sensors. This helps to manage variability and unpredictability in the external environment, in “high mix/low-volume” production, and in public environments. Physical AI, which is created through the development of dedicated hardware and software that simulate real-world environments, allows robots to train themselves in virtual environments and operate by experience, rather than programming. And Generative AI projects aim to create a “ChatGPT moment” for Physical AI, allowing this AI-driven robotics simulation technology to advance in traditional industrial environments as well as in service robotics applications.
2 – Humanoids.
Robots in the shape of human bodies have received a lot of media attention, due to their vision where robots will become general-purpose tools that can load a dishwasher on their own and work on an assembly line elsewhere. Start-ups today are working on these humanoid general-purpose robots, with an eye toward new applications in logistics and warehousing. However, it remains to be seen whether humanoid robots can represent an economically viable and scalable business case for industrial applications, especially when compared to existing solutions. So for the time being, industrial manufacturers are still focused on humanoids performing single-purpose tasks only, with a focus on the automotive industry.
3 – Sustainability – Energy Efficiency.
Compliance with the UN's environmental sustainability goals and corresponding regulations around the world is becoming an important requirement for inclusion on supplier whitelists, and robots play a key role in helping manufacturers achieve these goals. In general, their ability to perform tasks with high precision reduces material waste and improves the output-input ratio of a manufacturing process. These automated systems ensure consistent quality, which is essential for products designed to have long lifespans and minimal maintenance. In the production of green energy technologies such as solar panels, batteries for electric cars or recycling equipment, robots are critical to cost-effective production. At the same time, robot technology is being improved to make the robots themselves more energy-efficient. For example, the lightweight construction of moving robot components reduces their energy consumption. Different levels of sleep mode put the hardware in an energy saving parking position. Advances in gripper technology use bionics to achieve high grip strength with almost no energy consumption.
4 – New Fields of Business.
The general manufacturing industry still has a lot of potential for robotic automation. But most manufacturing companies are small and medium-sized enterprises (SMEs), which means the adoption of industrial robots by SMEs is still hampered by high initial investment and total cost of ownership. To address that hurdle, Robot-as-a-Service (RaaS) business models allow enterprises to benefit from robotic automation with no fixed capital involved. Another option is using low-cost robotics to provide a “good enough” product for applications that have low requirements in terms of precision, payload, and service life. Powered by the those approaches, new customer segments beyond manufacturing include construction, laboratory automation, and warehousing.
5 – Addressing Labor Shortage.
The global manufacturing sector continues to suffer from labor shortages, according to the International Labour Organisation (ILO). One of the main drivers is demographic change, which is already burdening labor markets in leading economies such as the United States, Japan, China, the Republic of Korea, or Germany. Although the impact varies from country to country, the cumulative effect on the supply chain is a concern almost everywhere.
Overall disruptions to global supply chains in 2024 increased 38% from the previous year, thanks largely to the top five drivers of supply chain disruptions for the year: factory fires, labor disruption, business sale, leadership transition, and mergers & acquisitions, according to a study from Resilinc.
Factory fires maintained their position as the number one disruption for the sixth consecutive year, with 2,299 disruption alerts issued. Fortunately, this number is down 20% from the previous year and has declined 36% from the record high in 2022, according to California-based Resilinc, a provider of supply chain resiliency solutions.
Labor disruptions made it into the top five list for the second year in a row, jumping up to the second spot with a 47% year-over-year increase following a number of company and site-level strikes, national strikes, labor protests, and layoffs. From the ILA U.S. port strike, impacting over 47,000 workers, and the Canadian rail strike to major layoffs at tech giants Intel, Dell, and Amazon, labor disruptions continued its streak as a key risk area for 2024.
And financial risk areas, including business sales, leadership transitions, and mergers and acquisitions, rounded out the top five disruptions for 2024. While business sales climbed a steady 17% YoY, leadership transitions surged 95% last year. Several notable transitions included leadership changes at Boeing, Nestlé, Pfizer Limited, and Intel. While mergers and acquisitions saw a slight decline of 5%, they remained a top disruption for 2024.
Other noteworthy trends highlighted in the data include a 146% rise in labor violations such as forced labor, poor working conditions, and health and safety violations, among others. Geopolitical risk alerts climbed 123% after a brief dip in 2023, and protests/riots saw an astounding 285% YoY increase, marking the largest growth increase of all risk events tracked by Resilinc. Regulatory change alerts, which include tariffs, changes in laws, environmental regulations, and bans, continued their upward trend with a 128% YoY increase.
The five most disrupted industries included: life sciences, healthcare, general manufacturing, high tech, and automotive, marking the fourth year in a row that those particular industries have been the most impacted.
Resilinc gathers its data through its 24/7 global event monitoring Artificial Intelligence, EventWatch AI, which collects information and monitors news on 400 different types of disruptions across 104 million sources including traditional news sources, social media platforms, wire services, videos, and government reports. Annually, the AI contextualizes and analyzes nearly 5 billion data feeds across 100 languages in 200 countries.