Client: Kaizen
Tech Stack: Python, FastAPI, MongoDB, JavaScript, HTML5, CSS
Challenge:
Achieving accurate OCR results was difficult, as initial prompts caused confusion between multiple roles. Additionally, handling location-based data added further complexity.
Solution:
Researched various Medium blogs and implemented a three-prompt strategy, assigning a distinct role to each prompt to prevent confusion and improve data accuracy.
Outcome:
Accuracy improved to beyond 90–95%, significantly enhancing data extraction precision. The client successfully proceeded with the implementation of our OCR software.
Most Challenging Project:
AI-OCR – due to the complexity of handling location-based data.
Innovation Spotlight:
Developed a multi-prompt strategy by assigning distinct roles to each prompt, reducing confusion and significantly improving OCR accuracy beyond conventional methods.
Client: Kaizen Tech Stack: NetSuite SuiteScript 2.1, SFTP, CSV Processing Challenge:Automate the creation of invoices from CSV files downloaded from Sherwin-Williams’ SFTP server. Solution: Developed a scheduled script to connect to the vendor’s SFTP server and download invoice CSV files. Processed each file by extracting data and mapping fields such as parts and accounts. Created […]
Client: Kaizen Tech Stack: NetSuite SuiteScript 2.1, Shopmonkey API, JavaScript Challenge: Integrate Shopmonkey invoices into NetSuite while ensuring data consistency and handling API errors. Solution: Developed a scheduled script that runs daily to fetch invoices from Shopmonkey API and insert them into NetSuite. Created a Suitelet for manual insertion, allowing users to enter an invoice […]
Client: Kaizen
Tech Stack: Python, FastAPI, MongoDB, JavaScript, HTML5, CSS
Challenge:
Achieving accurate OCR results was difficult, as initial prompts caused confusion between multiple roles. Additionally, handling location-based data added further complexity.
Solution:
Researched various Medium blogs and implemented a three-prompt strategy, assigning a distinct role to each prompt to prevent confusion and improve data accuracy.
Outcome:
Accuracy improved to beyond 90–95%, significantly enhancing data extraction precision. The client successfully proceeded with the implementation of our OCR software.
Most Challenging Project:
AI-OCR – due to the complexity of handling location-based data.
Innovation Spotlight:
Developed a multi-prompt strategy by assigning distinct roles to each prompt, reducing confusion and significantly improving OCR accuracy beyond conventional methods. 
Client: Kaizen Tech Stack: NetSuite SuiteScript 2.1, SFTP, CSV Processing Challenge:Automate the creation of invoices from CSV files downloaded from Sherwin-Williams’ SFTP server. Solution: Developed a scheduled script to connect to the vendor’s SFTP server and download invoice CSV files. Processed each file by extracting data and mapping fields such as parts and accounts. Created […]