Blogs

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 reduces equipment downtime, extends the …

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 dissatisfied customers. Fortunately, by implementing

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 their strategies using predefined metrics

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 of the available spare parts.

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 are a few AI trends

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 product, service, and marketing decisions

The very best Industrial reads of the year