Data Analytics for the Container Leasing Industry

  • Team DiLytics
  • Business Analytics
Container Leasing Industry

As industries across the globe continue to grow, so does the demand for goods and the need for more efficient methods of transporting them. The container leasing industry has seen significant growth in recent years as a result of this increasing demand.

The leasing of containers allows businesses to avoid the costs and hassle associated with purchasing and storing their own containers. This fast-growing industry is important because it helps businesses reduce their operating costs and increase efficiency.

The industry’s growth is expected to continue at a steady pace.

Data collected from shipping containers, sensors, GPS tracking systems, EDI systems, and other technologies are used by the leasing companies to track their containers, bill customers, and pay depots around the world for storing the containers. This data can be analyzed by data scientists to find ways that will benefit the company by understanding their customers’ needs and coming up with solutions to meet them.

Interesting insights about the container leasing industry

  • The container leasing industry is estimated to be worth $1.2 trillion in 2017 and is expected to grow at a CAGR of 7.7% from 2017 to 2022.
  • However, the industry still has a lot of room for growth as it is currently dominated by only a few players, and the current market share of top players is only 30%.
  • Companies that are using advanced data analytics in the container leasing industry have been able to increase their revenues by more than 20% over the past 3 years.

The importance of data analytics in the container leasing industry

As businesses have become increasingly reliant on data, the role of data analytics in the container leasing industry has grown in importance. Data analytics allows businesses to make better decisions by examining past data and trends.

Also Read: Demand forecasting: what is it and why is it important?

This is especially important in the container leasing industry, where companies need to be able to quickly adapt to changing market conditions. By analyzing data, companies can identify new opportunities and trends, as well as potential problems. In addition, data analytics can help companies improve their operations by identifying areas where they can save money or make improvements.

The Benefits of Data Analytics in the Container Leasing Industry

  • There are many benefits to using data analytics for container leasing, including savings of up to 30% in storage costs by analyzing the depot contracts and storage rates.
  • Analytics can help forecast and budget based on predicted demand.
  • In recent years, businesses have been turning to data analytics tools to better understand their operations. Data analytics can help provide insight into fleet performance, container repairs, movements, and utilization to make informed decisions and maximize profits.
  •  In the leasing industry, data analytics has been reshaping how companies lease out containers by reporting on critical KPIs like Utilization, Fleet performance, Top Customers, and Net Operating Income (NOI) to name a few
  • Marketing teams can get insight into Container Activity, Customer profiles, and Depot/Factory Activity to help negotiate the lease terms with the customers.
  • Resale teams can get insight into container sale price trends, Resale container Inventory & Activities to negotiate the sale prices of the containers.
  • Accounting teams can use analytics to help them simplify month-end, quarter-end, and year-end processes.

How DiLytics can help

DiLytics can help leasing companies understand their success rate with one click. DiLytics can create dashboards and reports that can help Senior Management, Marketing, Operations, Resale, Accounting and other teams in the company understand their data better and take proactive steps and informed decisions to improve business. 

We can help companies mitigate risk and streamline operations using analytics. We can help secure your data and help different groups access the appropriate data effortlessly.

Data analytics can also be used to

  • Understand how to meet the current and future needs of customers.
  • Understand the financials that will be expected in the future.
  • Find ways to minimize the risk of leasing containers.
  • Operational insights on equipment utilization, fleet management efficiency, and equipment wear and tear.

Conclusion

Container leasing is a growing industry, and data analytics is becoming increasingly important to the success of companies in this field. By analyzing data, companies can identify trends and make better decisions about what containers to lease and where to place them. Data analytics can also help companies optimize their operations and improve customer service. For more information on what you can do to stay ahead of the competition, contact us today! insights@dilytics.com