Automatic Tender Discovery using Cube RM Tender Central

Automatic Tender Discovery using Cube RM Tender Central

Discover thousands of Public Tenders around the world

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Thousands of Public Tenders around the world

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
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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 Qualification Index

Another way to search for relevant tenders is the Qualification 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 qualification index

Advanced bid no-bid tender guidance

The Qualification Index can be enriched with more sophisticated criteria, such as indicatively, the available supply capacity for the requested products, expected profitability, past success rates, and strategic importance of the customer or products. The system can use these or other criteria to score tenders and identify the most attractive ones to further pursue and invest more time and resources.

Advanced bid and no-bid guidance for tenders based on various criteria, such as supply availability, and expected profitability

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, NLP can be used to map contracting authorities, to existing accounts, and also, to search for keywords (e.g. product categories, pharmaceutical substances, etc) or other tender information even when these are mentioned in similar terms, misspelled, or translated in other languages. This significantly improves searching accuracy, user experience, and reveals more information for every tender that may not be readily available otherwise.

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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

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