Achieving Cost Savings Through Industrial Fleet Optimization



Efficiency in fleet management is crucial for organizations operating in the industrial sector. Fleet optimization plays a significant role in improving operational efficiency and cost management. By strategically orchestrating industrial resources, organizations can maximize usage, reduce downtime, and minimize maintenance expenses. This article explores the importance of fleet optimization in the industrial sector and highlights the innovative solutions adopted by companies like Fleet Complete and Makini to drive efficiency and achieve cost savings.

In today's fast-paced industrial landscape, organizations are leveraging cutting-edge technologies and systems to optimize their fleet operations. The adoption of cloud-based platforms like Amazon Web Services (AWS) enables companies like Fleet Complete to collect and analyze vast amounts of data from vehicles, assets, and employees. This data-driven approach empowers fleet managers to make informed decisions regarding vehicle maintenance needs, reducing downtime and enhancing efficiency. Similarly, platforms like Makini offer real-time data retrieval, enabling organizations to make quick, informed decisions and achieve significant cost savings through industrial fleet optimization.

1. The Importance of Fleet Optimization in the Industrial Sector

Fleet optimization in the industrial sphere holds immense significance, influencing both operational efficiency and cost management considerably. It is the tactical orchestration of industrial resources to maximize usage, curtail downtime, and lessen maintenance expenses. The pursuit of cost reduction through industrial fleet optimization is a common objective among many enterprises. However, its accomplishment necessitates a holistic strategy encompassing the adoption and integration of cutting-edge technologies and systems.

One such instance is the innovative approach adopted by Fleet Complete, a company that has harnessed the power of Amazon Web Services (AWS) to fuel their inventive solutions and generate profound insights from IoT data. Fleet Complete provides fleet asset and mobile workforce management solutions in the connected commercial vehicle space, leveraging the comprehensive AWS cloud to run Connvex, their big data, and analytics platform. Smart sensors connected to the cloud collect and transmit business-critical data from vehicles, assets, and employees, marking a significant stride in fleet optimization.

Fleet Complete's cloud-based platform Connvex collects over a billion data points, offering insights into vehicle health, driver behavior, and more. This data-driven approach empowers fleet managers to make informed decisions regarding vehicle maintenance needs, thereby reducing vehicle downtime and enhancing efficiency. With AWS, Fleet Complete has accelerated its development time and brought innovative new solutions to the market.

The company's growth has been monumental, with a tenfold increase over the past few years. Currently, it serves 35,000 businesses across 15 countries, processing increasing amounts of IoT data worldwide. By leveraging AWS, Fleet Complete has scaled its solution globally, supporting customers in new regions and driving growth for Connvex. Their innovative solutions extend to in-vehicle cameras that record video to improve operational safety, further emphasizing their commitment to fleet optimization.

Another exemplar of successful fleet optimization is Merchants Foodservice, which partnered with Omnitracs and SmartDrive to enhance the driver experience and ensure fleet safety. Merchants Foodservice effectively utilized the converged solutions offered by Omnitracs and SmartDrive to address their challenges and meet their customers' needs. The tangible results achieved by Merchants Foodservice through the use of Omnitracs and SmartDrive underscore the potential of such innovative solutions in driving fleet optimization in the industrial sector.

2. Understanding the Role of CMMS and EAM in Fleet Management

The advent of Computerized Maintenance Management Systems (CMMS) and Enterprise Asset Management (EAM) has led to a significant transformation in fleet management. These systems function as a unified platform, managing all aspects of fleet maintenance and asset management, from proactive maintenance scheduling to inventory tracking, work order management, and performance metric analysis. By integrating these systems, organizations can achieve an unparalleled level of control and transparency in their fleet operations, resulting in enhanced efficiency and reduced costs.

An illustration of the impact of such systems can be seen with Carter BloodCare, a non-profit organization providing blood components and transfusion services in North Central and East Texas. They implemented the eMaint CMMS to manage the maintenance of their 30 buildings and 100 vehicles. This system facilitated real-time monitoring of fleet vehicle status, ensuring timely scheduling of blood donations. It also reduced the time spent managing workloads and improved metrics for staff productivity and performance evaluations.

Before the eMaint CMMS implementation, Carter BloodCare was dependent on a combination of isolated asset management systems and manual processes. The transition to CMMS started with the fleet and facilities operations departments. The process required collaboration and communication across various locations and departments, fostering improved inter-departmental cooperation. The outcome was a remarkable increase in service levels for internal and external stakeholders, and enhanced transparency and management reporting.

In another instance, Eagle CMMS offers a range of products, plans, and services, including consulting and training. They highlight the significance of data analytics for informed asset maintenance decisions, a strategy that numerous companies are adopting to minimize downtime and enhance operational efficiency. Eagle CMMS serves a vast spectrum of industries, including corporate, education, energy, healthcare, hospitality, manufacturing, pharma, life sciences, property management, public sector, and warehousing/distribution/logistics. The advantages of implementing Eagle CMMS in these sectors include digital transformation, simplified facility management, peak performance in the energy sector, consistent functionality in healthcare, increased guest satisfaction in hospitality, streamlined operations in manufacturing, compliance in pharma and life sciences, resilient public infrastructure in the public sector, and maximized efficiency in warehousing, distribution, and logistics.

To optimize fleet maintenance with CMMS and EAM integration, organizations can consider deploying a comprehensive software solution that amalgamates CMMS and EAM functionalities. This integrated solution can effectively manage and maintain a fleet of vehicles, ensuring top-notch performance and minimal downtime.

The integration of CMMS and EAM enables centralization of all fleet maintenance activities, including work orders, preventive maintenance scheduling, inventory management, and asset tracking. This gives a holistic view of a fleet's maintenance requirements and allows effective planning and prioritization of maintenance tasks.

Key benefits of CMMS and EAM integration for fleet maintenance include improved asset tracking, streamlined workflows, enhanced inventory management, real-time reporting and analytics, and increased cost savings. By streamlining fleet maintenance processes, reducing unplanned downtime, and optimizing maintenance schedules, CMMS and EAM integration can lead to significant cost savings in terms of decreased repair costs, improved asset lifespan, and increased operational efficiency.

In essence, the use of CMMS and EAM in fleet management equips organizations with the necessary tools to boost their operational efficiency, cut costs, and improve service levels. Whether it's Carter BloodCare enhancing their blood donation scheduling or Eagle CMMS assisting industries in achieving their operational objectives, the benefits of these systems are evident.

3. Streamlining Maintenance and Inventory Optimization for Industrial Fleets

Enhancing the efficiency of fleet management involves crucial elements such as optimizing maintenance and inventory management. These components significantly contribute to operational performance and cost reduction. By integrating systems like Computerized Maintenance Management System (CMMS) and Enterprise Asset Management (EAM), organizations can automate routine tasks, minimize manual errors, and ensure prompt execution of maintenance activities.

A practical example of this is found in Fleet Complete, a provider of fleet asset and mobile workforce management solutions. The company leverages Amazon Web Services (AWS) to innovate and extract in-depth insights from their Internet of Things (IoT) data. Their big data and analytics platform, Connvex, operates on the AWS cloud, collecting and analyzing a staggering 50 terabytes of IoT data. This data-driven approach equips fleet owners with valuable insights into their fleet’s health and driver behavior.

Moreover, Connvex's predictive analytics capabilities empower fleet managers to foresee part failures, subsequently diminishing vehicle downtime and enhancing maintenance scheduling. This approach to maintenance optimization ensures the necessary parts are available precisely when needed, minimizing downtime and avoiding unnecessary inventory expenses.

Fleet Complete's adoption of AWS has also enabled them to scale their solution and expand their customer base into new regions. The company has experienced a tenfold growth over the past several years and now serves 35,000 businesses across 15 countries. Their use of AWS has not only expedited their development time but also allowed them to offer innovative new solutions, such as real-time vehicle tracking and in-vehicle cameras for operational safety.

The integration of technology like CMMS and EAM systems, together with data analytics platforms like Connvex, can significantly enhance fleet management efficiency. By streamlining maintenance and inventory optimization processes, companies can reduce costs, improve operational efficiency, and stimulate growth. Additionally, integrating CMMS and EAM systems for fleet management provides benefits such as enhanced asset visibility, improved maintenance planning and scheduling, better inventory management, and improved data analysis and reporting. These benefits contribute to more efficient and cost-effective fleet operations.

4. The Makini Platform: A Game Changer in Industrial Fleet Optimization

Makini emerges as a transformative platform that blends seamlessly with industrial processes, bridging the gap between CMMS and EAM systems. The platform's robust API simplifies tasks related to diverse data structures, authentication protocols, and data transformations. The Makini Link feature grants users secure access to their accounts, allowing instant data access and fostering real-time decision-making to enhance operational efficiency.

In the context of fleet management optimization, platforms akin to Makini have shown significant benefits. A case in point is the collaboration between Nautilus Labs and a major oil client. The client engaged Nautilus Labs to improve the operation of their onboard generator plants with a goal to cut fuel and maintenance costs and reduce CO2 emissions. Utilizing the Nautilus platform, the client fine-tuned the configuration of online generators for specific power requirements. This optimization boosted optimal operation from 36% to an impressive 92%.

This optimization led to significant savings of $142,000, which encompassed $43,000 in fuel savings and $99,000 in maintenance cost reduction. In addition, it resulted in a decrease of 500 metric tons of CO2 emissions. This case study exemplifies the substantial impact that optimization platforms like Makini can have on operational efficiency and environmental sustainability.

Real-time data access is critical to achieving these results. Much like the Makini Link feature, Nautilus's platform leverages high-frequency data to deliver actionable insights. It sends notifications when generator usage exceeds optimal operation, preventing waste and enhancing efficiency. This case study highlights the transformative potential of platforms like Makini in empowering businesses to make data-driven decisions, optimize operations, and ultimately save costs.

Makini stands out with its integrations with various platforms, such as SCExpert and Oracle Fusion Cloud Warehouse Management. These integrations enable businesses to streamline their warehouse operations for improved efficiency. The specific features and advantages of the Makini platform, as well as comparisons with other integration solutions, can be further explored on Makini's official website.

5. Rapid Integration: How Makini Enables Efficient Fleet Management

Makini's platform sets itself apart with its rapid industrial integrations. The swift completion of new integrations, within a week or two, significantly reduces the time and labor needed to integrate CMMS and EAM systems with industrial operations. The platform's flexible and adaptable API further simplifies the process for developers to merge their applications with industrial systems, thereby optimizing fleet management.

Makini's API can be utilized in several ways to streamline fleet management. For instance, it can be integrated with Oracle Fusion Cloud Warehouse Management or Infor WMS to enhance fleet management capabilities and streamline operations. The API can also be used to gather important data such as vehicle locations, fuel consumption, and maintenance schedules, which can be used to make informed decisions. Furthermore, the API can automate the collection and analysis of fleet-related data, identifying patterns and areas for improvement. Lastly, Makini's API provides real-time tracking and monitoring of your fleet to improve accountability, ensure compliance, and enable timely interventions.

A key competitor, Fleet Complete, leverages AWS to fuel its innovation and draw deep insights from IoT data. The company assists fleet owners in cutting costs and reducing vehicle downtime by handling over 50 million requests per day. Fleet Complete runs Connvex, its big data and analytics platform, on the AWS cloud. This platform collects and transmits essential business data from vehicles, assets, and employees via smart sensors connected to the cloud.

Connvex collects over a billion data points, including vehicle speed, location, and brake performance, providing fleet owners with extensive insights into vehicle health and driver behavior. The company serves 35,000 businesses across 15 countries and has seen a tenfold growth in recent years.

Fleet Complete transitioned its application environment to AWS to speed up innovation and meet customer demands. Connvex, Fleet Complete's cloud-based platform, collects and analyzes 50 terabytes of IoT data, providing valuable insights into vehicle health and driver behavior. Connvex allows fleet owners to gain enhanced visibility into their fleets and make informed decisions about maintenance and inventory.

Thanks to AWS, Fleet Complete has been able to scale its solution from 20 million requests a day to more than 50 million, supporting global expansion. The company has sped up its development time and offers innovative solutions such as a software tool for freight matching. Fleet Complete is developing new business models using AWS data analytics tools to offer more predictability in freight delivery and better warranty value.

The case of Fleet Complete demonstrates the potential of cloud-based platforms in driving innovation and efficiency in fleet management. By using AWS, Fleet Complete has been able to fast-track the launch of innovative solutions, release software updates quicker, and manage connected vehicles more effectively. The company's predictive maintenance capabilities have also reduced vehicle downtime, thus enhancing efficiency and productivity for fleet managers.

All these points underline the importance of fast integration and a flexible API, like the one offered by Makini, in achieving efficient fleet management. Through the quick integration of CMMS and EAM systems with industrial operations, Makini's platform lays the groundwork for effective and streamlined fleet management.

6. Achieving Operational Excellence with Real-Time Data Retrieval

In the fast-paced world of fleet management, real-time data access is crucial for maintaining operational efficiency and cost-effectiveness. Platforms like Makini harness this power by offering immediate data retrieval, empowering organizations to make quick, informed decisions. This function is particularly pivotal in areas like proactive maintenance, where immediate data access can significantly reduce downtime, resulting in substantial cost savings.

Consider the case of Cargotec, an international leader in cargo and load handling solutions. The company has pledged to cut its carbon dioxide emissions by half between 2019 and 2030. To meet this ambitious target, Cargotec is relying on data collection and analysis, utilizing Internet of Things (IoT) solutions and machine learning to enhance efficiency and sustainability. The company's strategic business units, Kalmar and MacGregor, operate in container handling and global shipping, sectors where prompt data access is critical.

Cargotec has constructed an IoT and data analytics solution on Amazon Web Services (AWS) to facilitate data storage and analysis, create interactive dashboards, and conduct predictive analytics. This system allows Cargotec's data-driven services team to devise and deploy machine learning models for predictive analytics on equipment energy consumption, improving operational efficiency and sustainability.

Another instance is Tachoeasy GmbH, a front-runner in telematics systems for fleet management. Tachoeasy has developed a comprehensive fleet management solution using Delphi, which includes a data management tool for digital tachographs in trucks and an app for efficient collaboration and communication with drivers. The app also permits live location tracking, driving style analysis, and carbon footprint determination, enabling the company to save time and comply with legal requirements in the transportation industry.

These examples underscore the importance of real-time data retrieval in the industrial sector. By integrating such functionality, platforms like Makini can help organizations streamline their operations, enhance their decision-making processes, and ultimately achieve significant cost savings.

Advanced maintenance technologies and systems can be utilized for proactive maintenance using real-time data in fleet management. These technologies can gather and analyze real-time data from various sources, like sensors and telematics devices installed in fleet vehicles. Factors such as engine performance, fuel consumption, and tire condition can be monitored to identify potential maintenance issues before they become critical.

Predictive analytics can be employed to analyze historical data and identify patterns or trends that may indicate future maintenance requirements. The combination of real-time data with predictive analytics can enable fleet managers to implement proactive maintenance strategies that help prevent breakdowns and minimize downtime.

Integration of fleet management systems with other enterprise systems, like enterprise resource planning (ERP) or customer relationship management (CRM), can offer a comprehensive view of the fleet's performance and enable more informed decision-making. This integration permits fleet managers to align maintenance schedules with operational needs, optimize resource allocation, and ensure timely repairs and replacements.

The Makini platform provides real-time data that can aid in maximizing uptime. By leveraging the advanced maintenance use case and integration with Oracle Fusion Cloud Warehouse Management, users can access current information and insights to optimize their operations and minimize downtime. This allows businesses to proactively address maintenance issues and make data-driven decisions, ultimately leading to improved uptime and productivity.

7. Case Study: Cost Savings Through Industrial Fleet Optimization with Makini

In the dynamic industrial operations sector, one standout example of successful fleet management optimization is a business that fully tapped into the capabilities of the Makini platform. By integrating their maintenance management and asset management tools with Makini, they were able to refine their maintenance and inventory processes and realize significant cost reductions.

Makini's capacity for real-time data retrieval was a transformative feature for this operator. It enabled them to make informed decisions promptly, leading to a substantial decrease in downtime and a corresponding increase in operational efficiency.

This operator's success story provides a compelling testament to Makini's potential in driving cost savings through industrial fleet optimization. But the possibilities don't end there. The advent of electric vehicles and the rise of Energy as a Service providers like AlphaStruxure herald new opportunities for fleet management, promising enhanced efficiency and resilience while mitigating disruptions.

The introduction of advanced task management tools is also reshaping maintenance operations planning within fleet management. From basic spreadsheets to sophisticated platforms using predictive analytics, these tools equip fleet maintenance departments with the necessary data to anticipate problems and plan maintenance effectively. Noteworthy software solutions like Trimble Transportation's TMT software enable real-time communication between drivers and maintenance operations, further boosting efficiency.

Despite the challenges posed by technician and parts shortages, the industry continues to push forward, using technology and innovation to optimize fleet operations. The integration of diagnostic and telematics solutions, proactive maintenance, and effective management of idle time all contribute to improved fleet performance and reduced total cost of ownership.

The case study of the Makini platform highlights the transformative potential of technology in industrial fleet optimization. As we look to the future, the landscape of fleet management is set to evolve further, propelled by advancements in electric vehicles, EaaS, and task management tools.


In conclusion, fleet optimization plays a vital role in improving operational efficiency and cost management in the industrial sector. By strategically orchestrating industrial resources, organizations can maximize usage, reduce downtime, and minimize maintenance expenses. The adoption of innovative solutions like cloud-based platforms and data-driven approaches empowers fleet managers to make informed decisions regarding vehicle maintenance needs, reducing downtime and enhancing efficiency. The integration of systems like CMMS and EAM further streamlines fleet operations, allowing for centralized maintenance activities and improved asset visibility. Overall, fleet optimization is essential for organizations to achieve maximum efficiency and cost savings.

The ideas discussed in this article highlight the importance of leveraging cutting-edge technologies and systems in fleet optimization. Platforms like Fleet Complete and Makini offer innovative solutions that provide real-time data retrieval, enabling organizations to make quick, informed decisions. The integration of CMMS and EAM systems with industrial operations streamlines maintenance and inventory management processes, resulting in improved asset tracking, streamlined workflows, enhanced inventory management, real-time reporting and analytics, and increased cost savings. By implementing these solutions, organizations can achieve operational excellence, cut costs, improve service levels, and drive growth. To learn more about how Makini's Unified API can help build 100+ product integrations with ease, schedule a demo with one of their integration experts on their official website.

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