Use Machine Learning To Increase Sales From Your Predictable Customers

Published January 5th, 2017 By Jack Stouffer I work in an industry where customers with dependable month to month patterns are the norm. In the majority of cases, we can physically look at a customer’s buying history and for certain months guess the customer’s sales pretty accurately. For example, this chart shows the sales of one of our customers. The lack of y-axis values is intentional to protect this customer’s privacy. Sales in December to February are pretty weak, but we usually get huge sales in June and August while having a low month in July. This gives us some advantages, the most obvious being making inventory planning much easier. However, the another advantage that we have is shuffling the list of customers that our customer service team calls each…


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