Lime Go has a recommendation engine that works with parameters derived from your existing customers. Depending on what your customer base looks like, the algorithm will find patterns and recommend other companies.
Does it sound complicated? Imagine playing a game of “20-questions”, where a person thinks about a celebrity and the others try to figure out who it is by asking a set of yes- and no-questions. E.g. “Is it a male or female?” or “Is the person famous outside of Sweden?”. Instead of thinking of a celebrity, we try to figure out the best matching company by asking questions like: “Is the majority of existing customers sole proprietary companies?” or “Is the turnover above 20 000 000 SEK?”.