Three Steps to Implementing an Asset and Inventory Analytics Solution

A supply chain manager using inventory analytics within a warehouse to determine the best placement for stock.


In the modern business landscape, data analytics and business intelligence solutions have become essential for organizations to gain valuable insights and drive informed decision-making. By harnessing the power of data, businesses can identify trends, optimize operations, and proactively address challenges. At Apptricity, we design our business intelligence solutions to provide actionable insights by collecting, analyzing, and visualizing data within our Supply Chain Management applications. In this article, we delve into the importance of managing inventory and asset data that allows you to see predictive asset analytics and asset performance analytics following these three steps when implementing an asset and inventory analytics solution: collecting, analyzing, and visualizing data. 

Step 1: Collecting Data

The foundation of any effective business intelligence solution lies in collecting accurate and abundant data. Collecting comprehensive and reliable data is the foundation for effective predictive asset analytics. Without plentiful, trustworthy data, any analysis has a high probability of originating from a flawed premise. Through our I-Connect Controller edge and IoT tracking devices we gather real-time data on inventory levels, asset conditions, and other relevant parameters. Our web and mobile applications also meticulously manage asset and inventory item properties. By amassing extensive datasets, we ensure the validity and reliability of the identified trends, enabling businesses to make data-driven decisions confidently.

Step 2: Analyzing Data

Identifying areas for operational improvement serves as a crucial starting point for data and inventory analytics. By examining the collected data, businesses can proactively prevent adverse events and foster positive outcomes through expedited or automated decision-making. Collaborating closely with our customers to comprehend the key metrics driving their operational efficiency is part of our process. Leveraging this knowledge, we employ advanced analytics techniques such as statistical models and machine learning algorithms to uncover valuable insights that optimize operations and empower users with comprehensive reports and charts.

Step 3: Visualizing Data

Effective decision-making requires immediate access to critical insights. At Apptricity, we recognize the importance of visualizing data presented on user-friendly dashboards. Through our partnership with Panintelligence, an embedded analytics platform, we seamlessly integrate their tool into our database. This integration enables users to create custom dashboards tailored to different stakeholders, providing a quick overview of essential information. These dashboards consist of interactive charts and reports, refreshed automatically or manually, ensuring real-time access to the latest data captured by our IoT-connected tracking devices and supply chain management system.

Data Warehousing and AI

As data transaction volumes increase, traditional in-house databases may struggle to handle the throughput required for real-time reporting. This is where data warehousing companies play a crucial role. Data warehousing products are designed for scalability, supporting rapid queries and processing high transaction loads. We partner with leading data warehousing providers to ensure seamless integration and optimal performance. Artificial intelligence (AI) is also a powerful tool in this context. By training AI models to analyze data and identify significant trends, business decision-makers can respond promptly with data-driven insights, leading to more proactive and effective decision-making.


Embracing Inventory Analytics, Predictive Asset Analytics, and Asset Performance Analytics empowers businesses to unlock their full potential. By following the steps of data collection, analysis, visualization, and leveraging advanced technologies like data warehousing and AI, organizations can harness the power of their data to make informed decisions in real time. Apptricity’s comprehensive approach equips businesses with the tools needed to optimize inventory management, predict asset failures, and enhance overall performance. By embracing these analytics techniques, companies can stay ahead of the competition, maximize operational efficiency, and achieve long-term success.

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