Problem statement of the client
The client, Docsumo, faced several challenges in the field of data extraction and mapping. Let’s delve into the problems they encountered:
Process
Our approach to addressing Docsumo’s challenges involved three key steps: research, mockups, and development and launch.
In order to develop an effective solution, we conducted thorough research to gain insights into data extraction and mapping processes. We explored existing tools and methodologies to understand their strengths and limitations. This research formed the basis for our proposed solution, ensuring its relevance and effectiveness in addressing the client’s needs.
Utilizing the research findings, we crafted comprehensive mockups that visually depicted the user interface and functionality of the data extraction and mapping tool. Through iterative refinements, we tailored the mockups to align with the client’s specific requirements, ensuring an optimal user experience.
Using React, a powerful JavaScript library for building user interfaces, we developed the front-end tool for data mapping. This tool integrated with Docsumo’s existing AI and ML capabilities, enabling seamless data extraction and mapping processes. After rigorous testing and optimization, the tool was launched, marking a significant milestone in the client’s journey.
Technologies Used
Our team leveraged advanced technologies to create a powerful data extraction and mapping tool for our client. Through the integration of intelligent algorithms and efficient frameworks, we optimized the process, enhancing productivity and data accuracy. The result was a streamlined workflow and improved operational efficiency for the client.
Solution
Our innovative solution revolutionized the way data extraction and mapping were done for the client. We streamlined and automated the entire process by leveraging advanced OCR technology, intelligent algorithms, and a user-friendly interface. The result was improved efficiency, accuracy, and productivity for the client, enabling them to handle large volumes of data seamlessly.