<p class="isSelectedEnd">Accurate sales forecasting can help ecommerce businesses make better decisions about inventory, purchasing, staffing, and marketing. However, forecasting becomes more difficult when sales data is spread across different websites, marketplaces, products, and regions.

<p class="isSelectedEnd">How are ecommerce businesses using historical sales data to predict future demand? Are you relying on spreadsheets and manual analysis, or using dashboards and automated analytics tools?

<p class="isSelectedEnd">I would also like to hear how businesses handle seasonal demand, sudden changes in customer behavior, promotions, and products with limited sales history.

<p class="isSelectedEnd">Data Analytics Stack focuses on retail and ecommerce analytics, so we are interested in hearing practical experiences from businesses that use data for sales planning and forecasting.

What data or forecasting methods have made the biggest difference in your ecommerce business?