Client Profile: A retail fixture manufacturing company that seeks to improve internal processes at their headquarters by converting hand-written documents into digital copies for reporting and analysis.
Challenge: The company faced inefficiencies due to the manual process of transcribing hand-written notes into a digital format from various documents including invoices, quotes, facility service records, etc. This process was time-consuming and error-prone, leading to increased overhead costs and slowing down operations.
To tackle this challenge, we developed an AI-driven data extraction process that included:
Utilizing generative AI to accurately extract and transform data from various hand-written documents.
Integrating the extracted data into the company’s existing enterprise resource planning (ERP) software.
Enabling users to automatically retrieve necessary values directly from the ERP interface.
In less than 5 weeks, we delivered a comprehensive custom-built solution:
Automated Data Extraction: Generative AI accurately extracts data from invoices, vendor quotes, and other facility service records.
ERP Integration: Seamless integration of the extracted data into the company’s ERP software, allowing for easy retrieval of necessary values.
Efficiency Gains: The solution drastically reduced the manual workload, decreasing overhead costs by 90%.
Employee Redeployment: Freed up 2 employees who spent 10 hours a week combined on manual data entry tasks, allowing them to focus on more engaging and interesting data analysis work.
This AI-driven solution significantly improved operational efficiency and reduced costs for the manufacturing company.
