ReplyFlow Kit

Data extraction and search dashboard sample

RFPs, PDFs, and spreadsheets turned into one review queue.

A practical starter for teams that need documents gathered from multiple sources, normalized into searchable rows, and reviewed by deadline, buyer, region, keyword, and document type.

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Interactive proof

Search a sample solicitation queue.

This demo uses synthetic records, but the same pattern works for scraped PDF, Word, Excel, CSV, and web listing sources after a client approves the source list and data handling process.

0 matching records
0 open opportunities
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0 days to nearest deadline

Status Buyer Opportunity Type Source Deadline Matched keywords

Build scope

Useful first version.

  • Source list import for public portals, URLs, and file folders
  • PDF, DOCX, XLSX, CSV, and HTML text extraction pipeline
  • Normalized rows for buyer, title, deadline, source, region, and keywords
  • Searchable static dashboard or lightweight internal web app
  • Export back to CSV or Excel for review and reporting

Safe data path

Designed around approved sources.

The delivery starts with public or client-approved documents, avoids storing sensitive credentials in the code, and keeps the first version simple enough for handoff, hosting, and future rule additions.

Delivery notes

What the client receives.

Extractor

A documented script that reads approved URLs or files, extracts text and metadata, and writes a clean CSV/JSON dataset.

Dashboard

A browser-viewable dashboard with filters, search, status flags, source links, and summary counts.

Handoff

Setup notes, sample data, update commands, limitations, and the next source rules to add once accuracy is reviewed.