Case StudiesState e-Procurement dept
GovTech · e-procurement

GeM tender intelligence platform.

Daily ingestion across central and state portals. Semantic match to vendor capability. 180+ tenders / week analysed end-to-end.

State e-procurement runs on volume — central GeM, state-portal feeds, hundreds of categories. We built the platform that ingests it daily, matches it to vendor profiles, and surfaces the ones that should actually be bid on.

The headline
180+
tenders / week analyzed
Profile
  • ClientState e-Procurement dept
  • PillarAI Engineering
  • IndustryGovernment & GovTech
180+
tenders / week analyzed
more relevant tenders surfaced
12
Indian languages supported
STQC
+ MeitY-aligned
⌖ The brief

What they asked for.

Replace manual triage of GeM and state-portal tenders with a daily ingestion + semantic-match pipeline. Surface the tenders worth a bid response, draft the response, and keep audit trails for the procurement team.

▣ How we approached it

The approach.

01

Daily ingestion

Central GeM, state-portal feeds, structured + scanned PDF ingestion with vision-LLM-aware parsers.

02

Capability matching

Semantic match against vendor capability profiles + historical wins. Calibrated to filter, not just rank.

03

Bid drafting copilot

Auto-drafted bid responses, citations to tender clauses, human review on the way out.

04

STQC / MeitY posture

On-prem-capable, audit logs, evidence retention. Procurement-friendly architecture from day one.

◇ What we shipped

Deliverables.

Ingestion pipeline

Multi-portal, multi-format, daily refresh, deduplication.

Match + ranking engine

Capability-aware semantic match, configurable filters.

Bid drafting copilot

RAG over tender + capability corpus, auto-draft + human review.

Procurement dashboard

Tender pipeline, win-rate, evidence pack on every bid.

↑ Outcomes

The numbers.

180+
tenders / week analyzed
more relevant tenders surfaced
STQC
audit posture maintained
Now booking Q3 2026

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