Logistics: Document Management Helped Logistics Company Optimize Process

Background

Expo Freight Limited (EFL), a leading logistics and freight forwarding company based in Sri Lanka, specializes in providing comprehensive supply chain solutions across global markets. Known for its commitment to delivering timely and reliable services, EFL manages a wide range of logistics operations, including customs clearance, freight forwarding, and warehousing. As the company expanded its footprint, the volume of paperwork and manual processes associated with logistics operations increased significantly, creating a need for more efficient and automated solutions.

Challenges

EFL faced several operational challenges that were impacting its efficiency and ability to scale. The company relied heavily on manual processes for key tasks such as data entry into customs declaration systems, processing shipping documents, and updating backend systems. This approach was not only time-consuming but also prone to errors, leading to delays in customs clearance and other critical operations. The repetitive nature of these tasks placed a heavy burden on staff, diverting valuable time and resources away from more strategic activities. As the volume of shipments grew, the need to manage data more efficiently became increasingly urgent, prompting EFL to seek a solution that could automate these repetitive tasks and improve overall operational efficiency.

Solution

To address these challenges, EFL partnered with Quantic Solutions to implement a combination of Intelligent Document Processing (IDP) and Robotic Process Automation (RPA) technologies. Quantic’s IDP solution was deployed to automate the extraction and processing of data from a variety of logistics documents, including shipping manifests, invoices, and customs declarations. This technology allowed EFL to reduce the manual effort involved in data handling, ensuring faster and more accurate processing of critical information.

Additionally, Quantic Solutions introduced RPA tools to eliminate repetitive tasks, such as manual data entry into customs declaration systems and backend applications. The RPA bots were configured to automatically input data into these systems, significantly reducing processing times and minimizing the risk of errors. This automation not only improved the speed and accuracy of EFL’s operations but also freed up employees to focus on value-added tasks, such as customer service and strategic planning.

Enhancing Logistics Efficiency with Intelligent Automation

Background

Challenges

Solution

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