Sharp Transportation Saves Up to 30 Hours Per Week with Order Entry Agents

Background

Sharp Transportation, founded in 1970 by John T. Sharp in Wellsville, Utah, has grown from a small family-owned operation into a leading nationwide logistics company. Located in Cache Valley, just 75 miles north of Salt Lake City, Sharp Transportation remains rooted in its small-town values while expanding to include 200 trucks, 500 trailers, 25 outside carriers, and a dedicated team of 170 employees. Sharp has steadily grown its operations to include warehouses and offices in Salt Lake City, Twin Falls, Seattle, and beyond.

Focused on their commitment to operational excellence, driver success, and customer satisfaction, Sharp partnered with Boon to implement cutting-edge AI agents to optimize their order entry process and maintain the company’s reputation for dependable, efficient logistics services.

Challenges

After an initial discovery session, Sharp Transportation and Boon identified several operational bottlenecks where Boon’s Automated Order Entry Agent could deliver impactful improvements:

  • Time-consuming manual data entry: The operations team at Sharp Transportation spends approximately 80 hours per week manually entering order details from invoices and rate confirmations into their system. This equated to a significant drain on team productivity and operational capacity.
  • Human error: Manual data entry introduced errors into the system, causing downstream issues in dispatching, billing, and customer service.
  • Operational inefficiencies: The combination of errors and time delays added unnecessary labor costs and limited Sharp Transportation’s ability to scale effectively.

Solution

To address these challenges, Boon implemented the Automated Order Entry Agent for Sharp Transportation. This solution extracts order data directly from invoices and rate confirmations, automatically populating it into Sharp Transportation’s order management system, eliminating the need for manual data entry and reducing operational inefficiencies. Key features of the implementation included:

  • Data automation: Automating the extraction and entry of order details into the system, drastically reducing manual effort.
  • Error reduction: Ensuring data is processed with near-perfect accuracy, minimizing order entry mistakes.
  • Seamless integration: The Automated Order Entry Agent integrated smoothly with Sharp Transportation’s existing systems, enabling a quick and efficient onboarding process.

Results

The implementation of Boon’s Automated Order Entry Agent delivered immediate and measurable results:

  • Automated Order Processing: With already over 500 orders processed, Boon is processing over 20 orders per day automatically, with only occasional manual intervention required for exceptions.
  • Time Savings: The time to process orders decreased significantly, saving the operations team 30 hours saved per week or 1,500 hours saved annually.
  • Operational Efficiency: Sharp Transportation was able to reduce its weekly manual order entry workload, freeing up time for team members to focus on higher-value tasks. Despite an increase in order volumes, the company avoided hiring additional staff, reallocating resources to strategic initiatives.

Conclusion

Implementing Boon’s Automated Order Entry Agent has been a game-changer for Sharp Transportation. By saving 30 hours of manual effort per week and eliminating up to 1,500 hours of repetitive tasks annually, Sharp Transportation has significantly enhanced its operational efficiency and scalability. Reduced errors and streamlined processes have further bolstered productivity, allowing the team to focus on growth and improved customer service. Boon’s innovative solution has positioned Sharp Transportation to meet increasing customer demands while maintaining a high level of operational excellence.

This version reflects the scaled-up time savings and weekly workload. 

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