SMEBOOK is reinventing the management of tech companies’ assets by providing a matchmaking algorithm capable of recommending partnerships according to needs and interests.

Partnership Maker

What is and how it works?

The SMEBOOK Partnership Maker represents a breakthrough in the precise characterization of companies’ assets by means of Artificial Intelligence. It is supported by a matching algorithm, developed all in-house and from the ground up, which is capable of nominating potential best-fit partners from among the pool of registered companies.

Making a query to the Partnership Maker returns a list of recommended candidates, based on several affinities and on-the-go computation of internal scores, all in a split second. Besides, these results are not static; SMEBOOK evolves over time by tapping into the prediction power of machine learning techniques.

What does it show?

Partnership Maker results are displayed in the form of a customised ranking of recommended potential partners for each organisation making a query. The list is supported by dedicated Spider diagrams which provide the level of compatibility between companies, based on five specific criteria which are shown in their respective axis:

• Geographic proximity (GP)

  The need for prioritizing local cooperation and supply chains is of paramount importance to strengthen regional development on the one hand and to reduce environmental footprint on the other. Underpinned by GIS, SMEBOOK fosters collaborations which allows for rapid (re)-configurations of local production capacities, thus having an impact on the environmental footprint, while, at the same time, allowing to respond dynamically to competing global economies.

• Profile accuracy (PA)

  Through NLP techniques, SMEBOOK analyses the quality and accuracy of all companies’ profiles according to different parameters in order to identify the most appropriate ones for each particular case.

• Tech matching (TM)

  SMEBOOK allows onboarded companies to provide an as extended as desired description of activities, products or services in order to further encourage potential direct collaborations. It is worth mentioning that SMEBOOK counts on a built-in comprehensive mapping of technological sectors, segmented into technological lines and all the way down to more than a thousand of specific technologies and applications, so that companies can very precise within the self characterisation process.

  In addition, the parametrisation of companies’ assets is not a static process but an ever-evolving operation; SMEBOOK model is continuously fed by asking companies for info updates which are collected through a non-intrusive living questionnaire tool. In doing so, the SMEBOOK is capable of improving more and more on recommendations.

• Collaboration proposals (CP)

  Tech companies have the opportunity to publish tech offers and tech requests as per their particular needs. In addition, users are allowed to classify their posts making use of the SMEBOOK built-in technology mapping. The information provided is used by the SMEBOOK to score collaboration potential among organisations by taking into account a wide range of parameters.

  It should be highlighted that also supporting entities can publish offers and demands, in this case related to innovation services which could be of interest to tech companies. That way, any kind of organisation getting involved in the SMEBOOK ecosystem can make use of the platform as a one-stop shop technology marketplace.

• Organisation engagement (OE)

  When talking about matchmaking processes, the willingness to engage with others is a key factor. For this reason, the SMEBOOK measures companies performance level in terms of activity within the platform.

Usage recommendations

In order for your company to receive better and better recommendations, you should proceed as follows:

• Provide as accurate as possible information to the SMEBOOK by filling in all the fields available within your settings,
• Keep your company’s profile updated as your interests change and respond to questions made on a regular basis,
• Be proactive connecting with others and posting offers and requests as needed, instead of waiting for something to happen being a reactive user,
• After receiving a proposed ranking, please strong make use of the feedback tool so that the SMEBOOK can know what is going on with your company and improve recommendations accordingly.