Case Study
Data Review
Document Sorting, Answer Generation, and Information Retrieval
Chat-Based Information Gathering and Summarization
Scattered Information
Hard-to-Find Data Across Multiple Sources
When essential information is spread across multiple PDFs, Excel sheets, Word files, or emails, simply locating the right data can take a lot of time. You must manually open and review each file, which significantly reduces work efficiency. Moreover, similar file names or outdated versions increase the risk of referencing the wrong document.
Buried Information
Unclear Location of Relevant Details
Some documents contain hundreds of pages, making it difficult to pinpoint where the needed information is located. If the terminology or wording is inconsistent, search keywords often fail, leading to overlooked or skipped sections. As a result, gathering information becomes time-consuming and mentally exhausting.
Solutions
Similarity + Frequency
HEYOS identifies not only exact keyword matches but also semantically similar expressions using AI, and automatically presents the relevant sections. It can even respond to vague questions, making it easy to retrieve information through a chatbot.
Compare Docs
When multiple similar documents exist, HEYOS evaluates them based on content, structure, and update date to prioritize relevance. Just ask the chatbot something like “What’s the latest ○○ document?” and the most appropriate file will be shown.
Answer with Reason
HEYOS not only provides answers but also displays the source section and citation from the document. Ask “Why is that?” in the chatbot, and you’ll receive both the answer and the supporting material, ensuring consistent explanations.
Image-to-Text Search
With OCR functionality, HEYOS can recognize and search text within scanned PDFs or image files. Simply ask “What does this chart’s figure mean?” and it will return an answer that includes text found inside the image.
Industries Served
Lawyers
Finance
Tax
CallCenter
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