- Client
- Avisi
- Documented Outcome
- AI Platform
- Key Metric
- 87 tenders → prioritized pipeline in seconds · 40% lower API costs
The Situation
Avisi manually reviewed dozens of government tenders per week. No prioritization system, no insight into win probability, no portfolio overview. Opportunities were missed or picked up too late.
What We Built
Built a full AI application using Claude Opus. Analyzes TenderNed data with a match score (0–100%), win probability, required vs. missing capabilities, and strategic advice per tender. 9 filter types, visual analytics (radar chart, pie chart), privacy-first architecture — contact data excluded from AI calls for 40% lower API costs.
Result
87 tenders analyzed simultaneously, prioritized, and visualized in one dashboard. Quick wins identified automatically. Export to JSON/CSV for downstream use. Urgent deadlines (< 14 days) highlighted immediately.
Key Metric
87 tenders → prioritized pipeline in seconds · 40% lower API costs