AI-based Image Data Extraction & Processing at Scale
Time is limited. Lengthy, detailed surveys designed to extract specific data can be challenging for respondents and result in human-caused errors. Transcription and data wrangling of these outputs can also be inaccurate and costly.
To explore a competitive market, our client, an international rideshare technology company, needed accurate, detailed consumer transaction data across relevant service providers. Ultimately, a process needed to be created to capture and organize validated receipt data from diverse global markets in large volume.
We developed a multi-step approach that focused on a combination of modern AI tools to deliver highly accurate, scalable respondent data to the client quickly. This approach included:
- Optical Character Recognition (OCR) to automatically read and extract text from a variety of documents with varying formatting and dimensions
- Natural Language Processing (NLP) and associated prompt engineering to generate human-readable queries for OCR data extraction
- An automated processing pipeline focused on amplifying accuracy by identifying where human intervention was required
Our approach generated highly accurate data at scale ahead of schedule, and generated reusable modular infrastructure to be used for ongoing data collection and application in other markets.
By combining AI tools into a single automated workflow, we were able to develop a flexible, modular process, allowing our client to better understand key market metrics and use this data immediately to drive business outcomes.