Case Studies

Real-world examples of turning messy data into usable insights.

Problem: Monthly broker reports arrive as PDFs, hard to analyze.

Solution: Parsing & modeling → interactive dashboards refreshed in minutes.

Impact: Saved days of manual work, improved accuracy.

Problem: ESG submissions required manual collection from multiple departments.

Solution: Centralized data capture, templates, and automatic outputs.

Impact: Reduced manual workload by ~70%, audit-ready evidence storage.

Problem: RFQs handled via inbox/Excel, no supplier benchmarking.

Solution: Email parsing → structured data → spend analytics & supplier KPIs.

Impact: Faster procurement cycles, −12% lead time, visibility on price variance.