Forecasting Tool for Customer Demand and Revenue

Customer demand behaviour depends on a variety of external factors. Accordingly, we developed a powerful daily forecasting model for customer demand and revenue that incorporates factors such as trends, holidays, seasons and days of the week. Our observation is that clients typically conduct monthly reporting against prior-year periods without accounting for holiday impacts, which can create misleading comparisons or obscure meaningful trends. The model we developed considers the timing of religious and public holidays and can be leveraged not only for forecasting but also to adjust comparative value reporting at the monthly level.