A recent analysis using the Contoso retail dataset from January to March 2022 shows a significant trend in customer purchasing behavior. By applying a linear extrapolation method, which does not account for seasonality or other external factors, the data suggests a 50% increase in sales for the upcoming periods. This method, while not employing advanced AI or machine learning, provides a straightforward projection based on past sales figures. The analysis was conducted assuming the current date is April 2022, focusing on the number of customers buying products. This simple yet effective technique offers a glimpse into potential future sales without the complexity of predictive analytics.
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