Case Study: Cube RM achieves 99% tender-noise elimination and 10% revenue growth with Microsoft Power BI

Cube RM - Customer Case Study

Cube RM, a small Greek partner professional services firm, needed to help customers filter vast volumes of tender notices with a more accurate, adaptable and user‑friendly search. To solve this, Cube RM built on Microsoft technologies — including Microsoft Power BI alongside Azure Cognitive Services and Azure OpenAI Service — to deliver granular tender discovery and management.

By integrating Azure Cognitive Services and Azure OpenAI Service with analytics and reporting in Microsoft Power BI, Cube RM implemented LLM‑powered tender identification and classification that removes 99% of irrelevant “noise” and improves data quality. The solution lets clients focus on the most relevant opportunities, reducing missed tenders and driving an average 10% increase in customer revenue.

Cube RM

Philip Kytinos

Chief Technology Officer