Asset Tracking & Monitoring

Enterprises are increasingly grappling with lack of visibility on the where-abouts and the operating conditions of the assets. Adding to this are the issues of

  • Increased cost of operating the asset over time without realizing the root cause,
  • Duplication of expenses on ghost assets,
  • Loss of productivity due to higher risk of failure and unplanned asset breakdowns,
  • Longer and inefficient service schedules due of lack of visibility into what went wrong.

 

All of these have a significant bearing on the profitability, speed, and efficiency of operations.

Our solution leverages IoT & Analytics to not only provide track-and-trace capabilities, but also enables enterprises to maximize the business value of the assets deployed. This is achieved by combining data on assets, their location, utilization, operating conditions, servicing, life-cycle management, etc. and applying Machine Learning. The visibility and insights gained in the process can help enterprises achieve the following:

Remote monitoring of Asset Operations

Maximization of Asset Uptime & Utilization

Reduced Cost of Asset Ownership

Predictive & Proactive Asset Maintenance

Intelligent Servicing of Field Assets

Alerts for Exceptional Conditions

Our Asset Tracking & Monitoring solution help Enterprises drive one or more of the following:

This allows an organization to track the availability, location, and inventory of movable assets like raw material, work-in-process goods, finished products, tools, and fixtures, etc. You are empowered with information on the presence of assets, making the organization more agile & efficient.  

Ability to track an asset and its operating conditions in real-time, coupled with the power of Advanced Analytics, ensure organizations clearly enhance the efficiency of their operations. For example, a team can quickly identify an increase in power consumption of an industrial asset, the possible factors contributing to the same and take appropriate corrective actions. Also, meaningful insights can help an organization maximize the asset uptime and usage, thereby directly influencing their revenue.

OEMs can leverage this solution to not only remotely monitor the condition of their product in use by the Customer, but can also enhance the life-span of the product by being more pro-active and predictive about issues that lead to a breakdown. With the intelligence gathered, in the scenario of servicing an asset, they can be a lot more definitive about the issue thereby ensuring quick, accurate and efficient resolution.  

Increasingly OEMs are feeling the push to move away from a capital expenditure to a usage-based operating model. The trend, which became prevalent with copiers and printers a few years back, is now finding its way into many more asset classes. For any OEM to undertake this transition, it is imperative that they have a robust mechanism to remotely monitor the health of their assets, and maximize its availability and utilization.