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As a small business owner you’re often left by yourself, research found out. KBC Bank wanted to help entrepreneurs to break out of their isolation by finding a complementary business match. And since there was no suitable platform, KBC created one itself.
By using Facebook Connect, Sign In with LinkedIn and open data from the Belgian Crossroads Bank for Enterprises, we try to ensure a smooth registration. This way, many basic data such as name, address and activities are entered in advance for the entrepreneurs.
To improve the quality of the matches, we ask entrepreneurs to enrich their profile by answering a few questions. About their experience, things they want to learn and the values they adhere to, for example.
To make the matches even more interesting, entrepreneurs can import their personal interests (Facebook likes) and we regularly launch relevant topics that they can consult.
Based on this input, the KBC Vindr algorithm searches for the best matching proposals. With the help of a convenient visual score overview, entrepreneurs immediately see why they are being matched and what their shared interests or values are.
Entrepreneurs can easily set their own accents by turning variables in the filters on or off. Moreover, they can also choose to see more proposals from 3 sectors of their choice.
If an entrepreneur is interested, he or she opens the proposed partner’s profile card. If there is a possible match, an invitation is sent.
Does the other entrepreneur accept the invitation? Then the KBC Vindr’s chat function comes in handy to make first contact.
First, millions of transactions between Belgian companies are analysed, looking for emerging trends to make interesting combinations. For example, when a company in sector A does business with a company in sector B, their relationship has potential mutual benefits. Based on these relationships, we have calculated relationship scores between all business sectors.
On KBC Vindr, the algorithm searches for the best matches based on the highest relationship score for the user’s business.
We added extra personal and business data to the algorithm to make the matches even more qualitative: