Discover the relevant tenders for your business using NLP

Automatically identify relevant tenders from different online sources based on your product portfolio or product category, budget, key dates, and any other relevant keywords, by using advanced Natural Language Processing (NLP) algorithms

Sophisiticated NLP (Natural Language Processing) algorithm

A large number of new tenders come out every year around the world. In the EU alone, more than two hundred thousand tenders are published annually, involving most countries and industries. That means that, especially, large organizations need to be able to quickly screen new tenders and discover the ones that are most relevant to the organization and worth their while.

Billion € worth of Tenders
All European Union Countries
Tenders yearly

Automatic Tender discovery with Cube RM Tender Central

Cube RM Tender Central, a specialized software for tender management and evaluation, can connect to online tender sources, such as TED (Tender Electronic Daily), and automatically screen for new tenders. The user can focus on specific countries or industries and use a roaster of available criteria to narrow down the search, such as release and submission dates, budget, keywords, or other relevant tender information.

The Relevance Index

Another way to search for relevant tenders is the Relevance Index. Available tenders would be scored based on various weighted criteria, such as product categories, keywords, budget, and other tender information resulting in a five-star ranking from more to less relevant tenders. Everything will be there for the user to review but more relevant tenders will appear first.

Calendar of upcoming and past tenders inside with an automated 5-star relevance index

NLP (Natural Language Processing) for tenders

NLP can add context to unstructured textual content. It is used to enhance the user experience and discover relevant information. For instance, the system can automatically recognize contracting authorities, product categories, and keywords, even when these are misspelled or when similar but not identical terms are used in tenders. This significantly improves searching accuracy, user experience, and reveals more information for every tender that may not be readily available otherwise.

Tender Qualification

After relevant tenders have been identified they need to be qualified to make the best out of everyone's time. Available supply capacity for the requested products, expected profitability, and past success rates are some of the criteria that the system can use to score tenders and identify the most attractive ones to further pursuit and invest more time and resources.

Qualification of tenders based on various criteria, such as supply availability and expected profitability

Market Intelligence

Furthermore, the system can access information for awards and past tenders to help improve the organization’s visibility of the tender market, discover emerging trends, and better understand the competitive landscape.

Get success and penetration rates based on published tender notices & awards

Available platforms

The user can access relevant tenders from Cube RM Connect, a specialized web interface for our customers. Furthermore, for companies that are using Salesforce, tender discovery may be accessed directly from the popular CRM platform and tenders can be seen as CRM opportunities.

A case for the Pharma Industry

Pharmaceutical companies can benefit even more from specialized industry content. By gathering information from several resources, the system can relate pharmaceutical companies and products with substances. This further facilitates tender discovery as each company can choose its own products and find out exactly which tenders are relevant or not based on substance, therapeutic areas, or other relevant categorization. This can also work with the Relevance Index to further automate the scoring process.

Pharmaceutical Products discovered
Pharmaceutical companies

Be the first to know - Never miss an Opportunity!