How to grow aftermarket revenue: a four-step framework OEM executives use to turn installed base data into parts, service contract and recurring revenue.

Repeat visits are not a skills problem. They are a data problem. See what really drives low first-time fix rates in industrial service, and the practical fixes that close the gap.

Discover how OEM aftermarket operations drive 60–80% of lifecycle emissions and how predictive service and AI cut waste, carbon, and costs.

Discover how OEM aftermarket operations drive 60–80% of lifecycle emissions and how predictive service and AI cut waste, carbon, and costs.

The article explains how AI goes beyond simple document extraction by uncovering hidden maintenance tasks humans often miss. Using semantic understanding and cross-manual linking, AI builds a dynamic maintenance knowledge graph, improving accuracy, safety, uptime, and operational efficiency while transforming static manuals into continuously evolving maintenance intelligence.

Industrility welcomes Pat McCarthy, former Google and SAP executive, to its Advisory Board. With deep expertise in industrial tech and digital transformation, Pat will help accelerate our mission to empower OEMs with AI, data, and service-driven business models.

How industrial OEMs can unify fragmented data, deploy AI-powered digital twins, and unlock recurring aftermarket revenue with smarter service models.

DocAgent turns 400-page equipment manuals into verified, field-ready PM checksheets in six steps. Less transcription. More judgment. Faster output.

Industrility and Siemens PLM close that gap – connecting design-time engineering data directly to a branded operator self-service portal. Technicians can identify parts in 3D, access variant-specific work instructions, and log service history, all without picking up the phone.

The article explains how AI goes beyond simple document extraction by uncovering hidden maintenance tasks humans often miss. Using semantic understanding and cross-manual linking, AI builds a dynamic maintenance knowledge graph, improving accuracy, safety, uptime, and operational efficiency while transforming static manuals into continuously evolving maintenance intelligence.

The article explains how AI goes beyond simple document extraction by uncovering hidden maintenance tasks humans often miss. Using semantic understanding and cross-manual linking, AI builds a dynamic maintenance knowledge graph, improving accuracy, safety, uptime, and operational efficiency while transforming static manuals into continuously evolving maintenance intelligence.

Industrility’s Shopify integration helps manufacturers simplify B2B aftermarket sales. Create your online store, personalize orders, and grow your market reach.

AI is reshaping industrial manufacturing. Pat McCarthy shares key insights on driving digital transformation for OEMs and unlocking new growth.

PDC Machines boosted service revenue by 50% by digitizing their aftermarket with Industrility’s self-service customer portal.

Explore recurring revenue strategies in manufacturing. Rolls-Royce’s Uma Palaniappan shares how servitization and AI drive aftermarket success.

Generative AI and Industrility are transforming industrial aftersales by unlocking hidden revenue from parts and service. By layering intelligence over fragmented systems, they enable visual part search, AI-guided service, and installed base insights—boosting EBITDA without ERP overhauls. Forward-looking OEMs are leveraging this to outpace competitors and modernize aftermarket operations.

In the aftersales goldmine, Manufacturers need to know where to dig (Know their Installed base), how much to dig (use data to drive value added services to the customers) and dig efficiently (focus on faster time to market with scaling cost effectively as they grow).

Industrility welcomes Pat McCarthy, former Google and SAP executive, to its Advisory Board. With deep expertise in industrial tech and digital transformation, Pat will help accelerate our mission to empower OEMs with AI, data, and service-driven business models.

Tired of outdated part numbers and slow processes? Industrility transforms procurement with accurate part identification and a self-serve e-commerce portal. Move from frustrating manual workflows to smooth, confident purchasing, reducing errors and downtime. Turn reactive tasks into proactive wins.

Industrility empowers service engineers, your first responders for machinery issues. Ditch scattered tools and tribal knowledge. Access accurate manuals, service histories, and easy part identification instantly. Resolve issues faster, reduce errors, and transform after-sales support from reactive to proactive, keeping equipment running and customers happy.

In today’s rapidly changing industrial environment, equipment uptime is essential. Whether it’s construction, material handling, or manufacturing, the ability to maintain complex machinery efficiently can have a direct impact on a company’s revenue. Amid growing complexity in equipment design, one of the tools that is quietly revolutionizing aftersales support and maintenance operations—the illustrated parts catalog.

New regulations in Europe and the U.S. are reshaping aftersales for OEMs, emphasizing repairability, sustainability, and data transparency. Compliance challenges also bring opportunities—AI, digital twins, and smart parts identification can drive efficiency, customer engagement, and competitive advantage. OEMs that embrace digitalization will turn regulatory shifts into growth and innovation.

Discover how AI Agents are transforming Customer Experience for machinery manufacturers, boosting efficiency, reducing downtime, and increasing revenue through automation and predictive maintenance.

For as long as anyone can remember, manufacturers have struggled with the ‘Dreaded Job Folder’—a chaotic catch-all for every piece of data related to a job or machine, often buried in a shared network drive. Industrility offers a way out, transforming this outdated practice with a modern aftersales platform that organizes, digitizes, and streamlines access to critical information. Discover how Industrility’s solution helps manufacturers reclaim time, boost efficiency, and elevate customer service.

The article explores how Industrility is transforming industrial B2B ecommerce and machinery sales enabled with AR(Augmented Reality)/VR (Virtual Reality). This innovation improves buying experience, accurate parts identification, reduction in returns and ultimately higher uptime and improved customer loyalty.

The article explores how Industrility is transforming industrial B2B ecommerce and machinery sales enabled with AR(Augmented Reality)/VR (Virtual Reality). This innovation improves buying experience, accurate parts identification, reduction in returns and ultimately higher uptime and improved customer loyalty.

The article explores how Industrility is transforming industrial maintenance by integrating AI-powered “digital coworkers” to assist service technicians. These AI agents enhance efficiency during installation, maintenance, and upgrades, ensuring accurate, real-time support. This innovation reduces machine downtime and improves operational excellence in the industrial sector.

The article explores how Industrility is transforming industrial maintenance by integrating AI-powered “digital coworkers” to assist service technicians. These AI agents enhance efficiency during installation, maintenance, and upgrades, ensuring accurate, real-time support. This innovation reduces machine downtime and improves operational excellence in the industrial sector.

Industrility’s TwinGPT revolutionizes Operations and Maintenance (O&M) manuals by integrating GenAI technology. It transforms static manuals into interactive, personalized experiences, enhancing efficiency and first-time fix rates. This innovative solution bridges the skills gap and simplifies onboarding, setting a new standard for machinery maintenance in the industry.

Industrility has launched its innovative TwinGPT offering on AWS Marketplace, enhancing heavy machinery manufacturing with advanced AI capabilities. This integration ensures scalability, security, and efficiency, enabling users to create digital twins, predict maintenance needs, and make data-driven decisions, all within a trusted AWS environment.

The article emphasizes Industrility’s role in promoting predictive maintenance for OEMs using IIoT technology. It illustrates how this approach prevents equipment failures, enhances customer satisfaction, and boosts revenue through service contracts. By adopting predictive maintenance, OEMs can transform operations and provide exceptional customer service, avoiding costly downtime.

The article explores how Industrility leverages the industrial metaverse to enhance aftersales services. Key benefits include improved training through AR/VR, predictive maintenance with digital twins, interactive customer engagement, streamlined spare parts management, and cost reductions, ultimately driving customer satisfaction and operational efficiency.

The article discusses how Industrility is revolutionizing manufacturing through AI-powered “digital coworkers” that assist service technicians, enhancing efficiency and reducing machine downtime. It also highlights Industrility’s TwinGPT, which transforms static O&M manuals into interactive experiences, bridging the skills gap and setting new industry standards.

The article highlights Industrility’s innovative use of digital twins and AI to improve industrial maintenance. It discusses AI-powered assistants for technicians, interactive O&M manuals, and the importance of predictive maintenance, all aimed at enhancing efficiency, minimizing downtime, and boosting customer satisfaction in the industrial sector.

The article discusses the CSRD regulation’s impact on manufacturers, emphasizing the challenges of compliance and the opportunities for innovation. It highlights Industrility’s role in transforming industrial maintenance through AI-powered solutions and predictive maintenance, enhancing efficiency, reducing downtime, and promoting sustainability in the manufacturing sector.

Industrility’s Decarbonize app helps manufacturers reduce carbon emissions by monitoring energy consumption, identifying inefficiencies, and enhancing machine performance. By integrating IoT and analytics, it provides real-time insights, supports predictive maintenance, and promotes sustainability. The app also assists in selling eco-friendly upgrades and services, driving both efficiency and sustainability goals.

The article highlights Industrility’s role in enhancing sustainability in manufacturing through AI-driven boiler efficiency optimization. By integrating IIoT and AI, Industrility helps reduce energy consumption, improve reliability, and streamline maintenance, enabling manufacturers to achieve significant cost savings while contributing to a greener future.

Industrility highlights five benefits of exploded machinery views for OEMs: improved maintenance efficiency, accurate parts identification, streamlined training, enhanced customer support, and innovation in product development. These views allow manufacturers to visualize machine components clearly, boosting operational efficiency, reducing costs, and improving customer experience.

Industrility has achieved the SOC 2 Type II certification, highlighting its commitment to data security, privacy, and operational integrity. This certification assures clients that Industrility’s systems meet the stringent standards for safeguarding data and maintaining system availability, making it a trusted partner for industrial machinery manufacturers.

Industrility’s blog explains the importance of understanding Total Cost of Ownership (TCO) and Lifecycle Costs (LCC) for industrial equipment. The company’s Lifecycle app tracks data on equipment costs across its lifecycle, offering businesses insights to optimize maintenance, minimize downtime, and make informed purchasing decisions. Industrility’s AI-powered platform also supports predictive maintenance, helping manufacturers and owners enhance efficiency and reduce operational costs.

Pragmatic guide for manufacturers to embrace digital servitization, a business model focused on delivering value through services alongside products. Their solutions empower businesses to get started quickly, capture data from their installed base, and demonstrate value to customers. Navigate this transformation and reap the rewards of a customer-centric future.

Companies are going beyond simply selling products. They’re looking to create lasting relationships with customers by offering services that complement their physical offerings. This is where digital Servitization comes in. Think of it as the marriage of two powerful trends: the shift from product-centric to service-centric business models, and the ever-growing influence of digital technologies.

In the aftersales goldmine, Manufacturers need to know where to dig (Know their Installed base), how much to dig (use data to drive value added services to the customers) and dig efficiently (focus on faster time to market with scaling cost effectively as they grow).

A system of industry machinery speaking to each other and reporting in crucial data figures could impact, TCO, longevity, output and even massive savings. Embrace the data deluge – implement IoT across your heavy machinery.

The key to success in this evolving landscape is a strategic shift towards collaboration and partnerships to deliver innovative software solutions. Don’t ignore the true cost of changing your Engineering DNA.

Manufacturers either don’t have the installed base data or if they have it, it is siloed and not accessible. In this thought leadership blog post, we’ll explore how industrial manufacturers can harness the power of a digital after-sales program to not only build their installed base data but also enhance its quality.

In the aftersales goldmine, Manufacturers need to know where to dig (Know their Installed base), how much to dig (use data to drive value added services to the customers) and dig efficiently (focus on faster time to market with scaling cost effectively as they grow).

The negative impact of a lack of aftersales support in industrial companies is far-reaching, affecting customer relationships, brand perception, and financial performance. Companies that neglect the importance of post-sale support risk losing competitive advantages and jeopardizing their long-term sustainability in the market.

The benefits include enhanced maintenance, streamlined registration and warranty tracking, access to spare parts, personalized customer engagement, and data-driven insights.

If you split the revenue of any manufacturer into new equipment sales

Original Equipment Manufacturer Give this Message to Your Customers “We pledge our

In the ever-evolving landscape of business, staying ahead means capitalizing on untapped

In the competitive landscape of industrial manufacturing, machine manufacturers strive to establish

In every industry, including Industrial Manufacturing, data is the lifeblood that fuels

In today's competitive business environment, Industrial OEMs are under constant pressure to