Have you ever wondered whether data can be used to predict which sales prospects will become to actual paying customers? Imagine the time and money you could save if you had sharper insights in your sales funnel.
We developed and implemented machine learning technologies to help an international company predict outcomes for their sales processes. The method scans the content and senders of incoming emails and recognizes the relation between emails from different senders within the same company. The solution uses this and other sales data to calculate the probability of a sales prospect placing an order. The model improves itself continuously by comparing its predictions with actual order volumes. The sales team uses the predictions to gain valuable insights throughout the sales process.