BLOGS

Unified Business Unit : Simplifying Aftermarket Growth
When I visit a doctor for a checkup and complain about a stomach ache, and the attending physician collects my blood sample, surprisingly, I do not question the doctor for taking my blood sample and performing labs. Most importantly, I expect that the lab results would be shared with other

The Future of Predictive Maintenance in Industrial Manufacturing
In the past few years, Predictive Maintenance in Industrial Manufacturing landscape has been completely revolutionized. By leveraging data analytics and machine learning, Industrials are now able to anticipate equipment downtime, allowing them to create proactive maintenance plans. This shift to Predictive Maintenance is advantageous in several ways, as it significantly

7 Best Practices for Optimizing Industrial Spare Parts Inventory Management
Spare Parts Inventory Management can be a challenging task for manufacturers and distributors alike, it requires an adequate amount of investment in time and effort. Industrials must have the right parts available when needed while minimizing excess inventory. Failure to do so can result in stockouts, increased carrying costs, and

Data driven approach to Sales & Services growth
Industrial OEMs are increasingly recognizing the value of data in their decision-making processes. By leveraging insights derived from their data, they can anticipate and address potential issues and develop strategies that align with their business goals and objectives. Beyond decision-making processes, data also allows businesses to measure the success of

How Entytle Data Services can Improve Parts Data Quality for OEMs
Imagine a scenario where Industrial aftermarket teams are constantly battling with poor data. This problem is pervasive and affects every part of the sales process. Every day Industrial aftermarket teams scrapples with inconsistent and inefficient data that makes it difficult for them to keep the track of inventory and pricing

3 AI trends for Industrial to watch out for in 2023 and beyond
As the Industrial landscape becomes more complex & competitive, Industrial OEMs are under pressure to find new ways to optimize their operations and get ahead of the game. Artificial Intelligence (AI) has emerged as a powerful tool that can help Industrial OEMs address some of their most important challenges, these

Using Data Science to find patterns from Installed Base purchasing behavior
A primer on how FCRM (Frequency, Consistency, Recency, and Monetary Value) analysis can help Industrial OEMs predict buying behavior. Customers expect OEMs to understand their needs and expectations and hence they have to come up with the right marketing strategies that work for their customers. Successful organizations do not make

Unlocking User Insights: Navigating Product Analytics for Enhanced Performance
Analyzing user behavior is a critical aspect of understanding how users interact with a product. Insights from product usage data can help you identify behavioral patterns for different user personas, derive your product roadmap, and enhance features. One significant advantage of monitoring product usage is the elimination of guesswork, enabling

Revolutionizing Customer Marketing for Industrial OEMs through Digital Transformation
In the realm of Industrial Original Equipment Manufacturers (OEMs), customer marketing stands as a pivotal strategy geared towards enhancing satisfaction, loyalty, and the lifetime value of clients. The driving force behind this evolution is the ongoing digital transformation sweeping through the industry. For Industrial OEMs, the strategic utilization of digital

Challenges in the Implementation of Predictive Maintenance
In the world of Industrial Original Equipment Manufacturers (OEM), the implementation of predictive maintenance has emerged as a game-changer, promising enhanced operational efficiency and reduced downtime. However, the journey to harness the full potential of predictive maintenance is not without its challenges. In this blog, we’ll delve into the common

Data Silos Are Not Just Annoying. They Cost You Sales $$
In the competitive world of industrial original equipment manufacturing (OEM), the ability to capitalize on upsell and cross-sell opportunities is crucial. Yet, many aftermarket sales and marketing leaders find these opportunities slipping through their fingers, lost to the abyss of data silos. Data fragmentation, often seen as an IT problem,
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Unlocking User Insights: Navigating Product Analytics for Enhanced Performance
Analyzing user behavior is a critical aspect of understanding how users interact with a product. Insights from product usage data can help you identify behavioral patterns for different user personas, derive your product roadmap, and enhance features. One significant advantage of monitoring product usage is the elimination of guesswork, enabling

Revolutionizing Customer Marketing for Industrial OEMs through Digital Transformation
In the realm of Industrial Original Equipment Manufacturers (OEMs), customer marketing stands as a pivotal strategy geared towards enhancing satisfaction, loyalty, and the lifetime value of clients. The driving force behind this evolution is the ongoing digital transformation sweeping through the industry. For Industrial OEMs, the strategic utilization of digital

Challenges in the Implementation of Predictive Maintenance
In the world of Industrial Original Equipment Manufacturers (OEM), the implementation of predictive maintenance has emerged as a game-changer, promising enhanced operational efficiency and reduced downtime. However, the journey to harness the full potential of predictive maintenance is not without its challenges. In this blog, we’ll delve into the common

Data Silos Are Not Just Annoying. They Cost You Sales $$
In the competitive world of industrial original equipment manufacturing (OEM), the ability to capitalize on upsell and cross-sell opportunities is crucial. Yet, many aftermarket sales and marketing leaders find these opportunities slipping through their fingers, lost to the abyss of data silos. Data fragmentation, often seen as an IT problem,
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