GenAI Advantage: Accelerating Data Processing and Decision-Making for a leading Transportation enterprise
Overview.
A leading transportation enterprise faced challenges with manual data extraction and analysis from Bills of Lading (BOLs), invoices, and contracts. This time-consuming and labour-intensive process hampered overall productivity, efficiency, accuracy, and scalability of data management. Our goal was to streamline this process and significantly improve data handling.
Manually extracting and analyzing data is labor-intensive, requiring a significant number of employees
Employees assigned to manual data entry and analysis are diverted from other critical tasks that could contribute more to the company's bottom line.
As the volume of documents increases, it becomes difficult to scale up manual data processing while maintaining efficiency.
Solution.
Coforge's GenAI solution leveraged Azure OpenAI models to address the client's data challenges. By combining Vision AI, Graph AI, and Document AI, we automated data extraction, pattern recognition, and information structuring. This transformed the data into a readily accessible format for analysis.
The extracted information enables the client to perform various tasks such as identifying trends, making data-driven predictions, and improving decision-making. Additionally, the solution facilitates the discovery of hidden patterns within the data, generating valuable insights and preparing the data for further analysis and utilization
The Impact.
Enhanced Data Accuracy: Achieved 99% data accuracy, leading to more reliable information and improved downstream processes that rely on this data.
Data-Driven Decision Making: Extracted insights enable data-driven decision making, leading to improved business outcomes.
Increased Operational Efficiency: Streamlined the process by 60%, resulting in faster turnaround times, increased operational agility, and overall cost reduction.
