GreeceProfessional services2018 – ongoingCube RM
Tender matching with Azure OpenAI and cognitive services
Greek startup Cube RM matches tenders in 40+ countries, with customers seeing about 10% more revenue
Problem
Public tenders are published in large numbers with unstructured data. Bidders struggled to find and manage the ones that fit their portfolios.
Approach
Cube RM consolidates tender data from over 40 countries and shows it in Power BI. Azure Cognitive Services tag tenders with OCR and translation, and its own NLP models plus Azure OpenAI Service raise precision.
Results
Takeaway
The company reports customers see an average revenue increase of 10 percent. One client's yearly review load fell from one million tenders to 5,000.
Categories
- Size
- Small business
- Industry
- Professional services
- Business function
- Marketing and sales
- Innovation type
- Product and service innovation
- AI technology
- Generative AIPredictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Vendor's case study
Sources
Source summaries
Microsoft describes how Cube RM built tender software on Azure AI. It reports revenue and filtering results for customers.
Full details are in the original sources.
