Data in Depth

Join us for an AI Deep Dive as we explore how manufacturers can unlock untapped potential with an aftermarket sales strategy. This episode delves into the benefits of integrating Configure, Price, Quote (CPQ) tools and customer portals to streamline re-orders, replacement parts, and services, transforming aftermarket sales into a seamless, profitable revenue stream. Discover how Revenue Lifecycle Management (RLM) extends beyond the first sale, maximizing customer lifetime value through proactive support. Learn how AI-driven predictive analytics enhance customer experience by anticipating needs, offering tailored recommendations, and boosting loyalty. Don't miss these insights on turning aftermarket sales into a growth engine. Read the Full Article on Substack: https://ai.mountainpoint.com/p/drivin...

In this AI Deep Dive, we delve into the obstacles ETO manufacturers face, such as complex CPQ workflows, manual processes, and data silos, and reveal how Mountain Point’s expertise helps tackle these challenges head-on. Learn about their comprehensive solutions that not only improve efficiency and accuracy but also pave the way for advanced AI integration and intelligent automation. With Mountain Point, ETO manufacturers can streamline operations, boost customer satisfaction, and stay competitive. Tune in to discover a smarter way to navigate the future of ETO manufacturing!

In this episode, we talk with Nick Humpries from Zeiss. Nick shares strategies to head off waste and ensure quality by integrating datasets to monitor production in real-time. “The time that they used to spend wearing out a path between their workstation and the quality lab, is now all spent at their workstation and they are able to make adjustments in a much quicker fashion. And then the data integrity increased because they were able to mask those first few parts that they ended up...

In this episode, we talk with Clark Richey from FactGem. Clark offers insights into how manufacturers can take small — but effective — steps to break down data silos for a more complete view of the company. "Information is now being connected, and that's what we've come to expect. And successful businesses are doing that really well. Whether it's in the manufacturing space, supply chain, retail, they're connecting all the dots. And that's where those silos lead to problems. We're separating...

In this episode, we talk with Caroline Hilla from Cisco's Global Manufacturing team. Caroline offers practical and foundational tips for capturing, integrating — and effectively using — IoT data. "There's a perception right now that if it's not broke, don't fix it. And while that may have worked for 15, 20 years now, what we're really seeing is that you're not really able to tap into the full potential of the data that you can be collecting from your different devices and machines using the...

"Too many companies I've seen initially get into this thinking they're gonna have some 12, 18-month ROI... they're gonna put a bunch of data in and all of a sudden they're going to have some super whiz-bang thing happening. And it's definitely not that. It's a long-term journey." In this episode, we talk with John Clevenger, Managing Director of Accession Consulting. John shares the many opportunities the Internet of Things (IoT) brings to the manufacturing industry. He offers practical...

"Since we've started this, we're literally adding tens of thousands of dollars of extra revenue when our product ships." In this episode, we talk with Chris Muto, Sales Operations Manager for Pro-Tech, a manufacturer of industrial snow plows. Chris shares how Pro-Tech is using data to improve customers' experience, drive additional sales, and do more with less. LinkedInCheck out Pro-Tech --- This season, we're giving away a pair of Bose QuietComfort 35 wireless headphones! How to enter:...

In this episode, we talk with Francois Gau, owner and CEO of Levy Industrial. This episode is the second of a two-part segment with Francois. During this portion of the interview, Francois digs into the concept of Inbound Marketing and explains why manufacturing and industrial companies need to focus messaging on thought leadership rather than selling. He shares key metrics companies can use to gain insight into the effectiveness of their efforts and connect marketing investments to sales...

In this episode, we talk with Francois Gau, owner and CEO of Levy Industrial. Francois outlines his data-driven approach for generating growth for industrial and tech-based B2B companies. This episode is the first of a two-part segment with Francois. During this portion of the interview, Francois paints a picture of what a modern marketing program looks like in the context of the manufacturing industry. He outlines how manufacturers can move beyond the old standbys of trade shows and...

In this episode, we talk with Louis Columbus, a Forbes columnist and principal at IQMS. Louis talks through five ways artificial intelligence and machine learning are revolutionizing the manufacturing industry — from marketing and sales to efficiency, from addressing the talent gap to ensuring quality, safety and security. 13:24 - Labor Challenges I visit a lot of manufacturers. I visit probably five to 10 manufacturers a month, and I periodically do surveys every quarter as part of my...

In this episode, we talk with Mike Wertheim from Hayward Industries. Mike shares how Hayward is using data to boost the company's bottom line and outlines his team's top priorities for 2020. 3:41: 3 Ways Data Can Drive Profits Mike: Data is important to everybody. For Hayward, we are a manufacturing company and it comes down to the bottom line. So, I'll give you 3 ideas of some things that make data very important to [us]. We are a big company in a mature market. The way to grow in that...

On this episode of Data in Depth, we dig into how sophisticated data and analytics are transforming logistics and changing the way companies manage their supply chains. We talk with James Lumb, CEO of Zenkraft, who offers cutting-edge examples of how logistics data can be used to avoid waste, improve customer experience, and even improve your product line. Chapter markers: 4:48 - Supply Chain 360 6:05 - Internet of Things 6:54 - Product Improvement Feedback Loops 8:55 - The Power of...

In this episode, we talk with Tom Brennan from Rootstock. Tom discusses the pitfalls of 'FrankenCloud' (multiple cloud systems roughly connected). He also digs into the role of the data-driven CFO and shares how companies can move from a transactional to a strategic approach. FrankenCloud - 3:45 Tom: People are adding more clouds, and we're in a 'FrankenCloud' stage where you've got multiple clouds and on-premise. You try to draw inferences about that customer and it's very difficult to...

On this episode, we talk with Ben Cheng from Parsable. Ben delves into the world of the connected worker. He shares ideas for how we can capture the experiences and knowledge of people on the shop floor to develop shared best practices, anticipate future problems, and improve efficiency. Here are a few highlights: Shop Knowledge Ben: During my years in planning, I was always very frustrated with the way that the shop floor workers were being asked to operate. The investment was continually...

In this episode, we talk with Shekar Hariharan, VP of Product Marketing at Jitterbit. Shekar highlights the crucial role data integrations and APIs play in driving innovation, efficiency, and agility in the manufacturing sector. 2:57 - Digital Disruption Shekar: Manufacturing, just like any other industry, is being impacted by digital disruption...there's data scattered across different systems, and… unless you connect these systems together, you have what you call data silos. 3:58 - The...

In our first ever episode, we talk with data scientist Skye Reymond. Skye lays the groundwork for our series focusing on how data and analytics are key competitive differentiators for manufacturing companies. Here are just a few highlights: 1:44: Start where you are Skye: There’s a book that I reference when a company is assessing where they stand in their analytical strategy. It’s called ‘Competing on Analytics.’ It outlines 5 levels of maturity... 2:22: Stage 1: Analytically...