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Optimizing Fleet Operations with AI - Gillson Trucking case study

June 12, 2024

In the fast-paced world of trucking and logistics, fleet optimization plays a crucial role in enhancing efficiency, reducing costs, and ultimately boosting profitability for companies in the industry. While there are various strategies and technologies available to achieve fleet optimization, one of the most groundbreaking and impactful solutions is the integration of AI. AI has revolutionized the way trucking companies manage their operations, with its capabilities extending far beyond traditional methods. One key area where AI has proven to be particularly effective is in streamlining and automating manual data entry processes.

Manual data entry tasks are not only time-consuming and tedious but also prone to errors that can have significant repercussions on a company's overall efficiency and bottom line. For instance, Gillson Trucking, a leading full truck load carrier operating cross country and based in California, was able to achieve a remarkable 95% reduction in manual order entry processes by harnessing the power of AI-driven solutions provided by Boon. Boon's advanced AI capabilities enable the extraction of data from customer orders in any format, whether it be Electronic Data Interchange (EDI), emails, or other sources. By automatically transferring this data into Gillson's TMS, Boon eliminates the need for manual data entry, thus freeing up valuable time and resources.

A practical example of this seamless integration is when Gillson receives a rate confirmation via email. Boon's LLM based extraction service  can swiftly scan the email, identify critical details such as pricing information and pickup/drop-off times, enrich this data with business logic and promptly upload this data into their TMS. This process not only saves time but also significantly reduces the likelihood of errors associated with manual data entry tasks. By eradicating manual data entry from their workflow, Gillson has not only cut down on operational costs but has also seen a marked improvement in efficiency levels. The automation of order entry processes allows employees to redirect their focus towards more strategic initiatives, enhancing overall productivity and performance.

Through the AI-powered workflows facilitated by Boon, Gillson can effectively cater to customer demands in a timely and accurate manner, ensuring that orders are processed efficiently and without delays. This streamlined approach to managing data entry tasks also enables the company to scale its operations seamlessly without incurring disproportionate increases in labor costs.

In conclusion, AI when integrated strategically into fleet operations, can revolutionize the way trucking companies manage their data entry processes, leading to improved efficiency, reduced costs, and enhanced customer satisfaction. By leveraging solutions such as Boon's AI capabilities, companies like Gillson Trucking can stay ahead of the curve and continue to thrive in today's competitive marketplace.

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