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Automated Email Parsing for Logistics Industry

Automated Email Parsing for Logistics Industry

A prominent player in the logistics industry, this company has built a strong reputation for its ability to manage and transport various types of freight with unmatched efficiency. With a commitment to meeting the unique shipping requirements of its customers, the company has positioned itself as a leader in the field.

Problem statement/Challenge:

In the logistics industry, there is a substantial volume of email communication related to shipment details, orders, and customer queries. However, they found themselves grappling with the time-consuming and error-prone manual process of parsing these emails for critical information.

Secondly, ensuring the accuracy of data extracted from emails was paramount for the company, as any errors or omissions could lead to disruptions in the supply chain and impact customer satisfaction.

Thirdly, the manual data entry and processing tasks were not only labour-intensive but also time-consuming. The company needed a solution that would streamline these processes and free up their team to focus on more strategic aspects of their operations.

Solution Implemented:

To address these challenges, our company embarked on a transformative project to automate their email parsing and order creation processes. The key solutions implemented were:

Automated Email Parsing: Our solution included a highly reliable email parsing engine capable of automatically extracting shipment and order data from incoming emails. This automated process significantly reduced manual data entry efforts.

Integration with their Platform: We seamlessly integrated the email parsing engine with an existing platform’s API, ensuring compatibility and smooth data flow. This integration allowed for the automated creation of orders, reducing the risk of data errors.

Automated Order Creation: The system seamlessly integrated with their platform’s XML-based API to automate the process of creating orders. It learned from corrections made by logistics managers, improving accuracy over time.

Intermediate Review and Approval: To enhance data accuracy, the solution introduced an intermediate view and approval step. After parsing, the system presented parsed information for review by logistics managers, who could approve or make corrections as needed.

Results & Benefits

The automated email parsing engine demonstrated a remarkable 98% increase in efficiency during testing. Prior to implementation, manual data entry consumed an average of 25 hours per week for logistics managers. However, after the automation was tested, this figure was reduced to just 30 minutes per week.

The data accuracy showed remarkable 95% reduction in errors in shipment and order information, confirming the integrity of critical data. Before implementation, testing showed an average of 12 errors per week. Following the introduction of an intermediate view and approval step, this number was reduced to just 2 errors per month. This substantial improvement in data accuracy had a positive impact on customer satisfaction.

As the company expanded, the automated system adeptly handled the increased volume of incoming emails and data processing. Testing verified a 100% growth in email processing capacity without any noticeable degradation in operational efficiency.


In conclusion, the collaboration between our client and our software development team successfully addressed the operational challenges faced by the logistics company. The implementation of an automated email parsing solution integrated with the existing platform resulted in increased efficiency, improved data
accuracy, and significant cost savings. This case study demonstrates how technology and automation can play a pivotal role in redefining reliability and service in the logistics industry.

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