Tender-management software purpose-built for Indian Railways procurement. Tenderintel automates the tedious — logging in to the portal, downloading comparative statements, extracting bidder pricing — and turns it into clean analytics our clients can act on.
Indian Railways runs one of the largest public-procurement systems in the world through IREPS — thousands of tenders, hundreds of items, dozens of bidders per lot. For a supplier like Neetu Yoshi, staying competitive means understanding who's bidding, at what prices, and for which items — data that lives scattered across PDFs behind a CAPTCHA-protected portal.
The old workflow was all manual: download each comparative statement by hand, transcribe bidder pricing into spreadsheets, and pray nobody mistyped. Hours lost every week, and by the time you had the data, the next tender was already closing.
Tenderintel is a full pipeline: automated scraping of the IREPS government portal, an AI-powered PDF parser for comparative statements, a tidy relational store of price history, and a modern React dashboard for analysis.
The next chapter is decision intelligence. We're layering in bid-price recommendations, win-rate forecasts, and anomaly alerts when a new entrant disrupts an item's pricing. The goal isn't just to see the market clearly — it's to know exactly what to bid, and why.
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