What is sales forecasting?

Sales forecasting is the process of estimating a business’s future sales or revenue over a specific period using historical sales data, current performance, market conditions, customer behavior, and other relevant factors.

Sales forecasting can help businesses:

• Estimate future revenue and sales volume.
• Set realistic sales targets for teams and channels.
• Plan inventory based on expected product demand.
• Manage budgets and cash flow more effectively.
• Plan staffing and resources according to expected sales activity.
• Identify potential changes in demand and market trends.
• Evaluate marketing and sales strategies by comparing expected and actual performance.
• Support B2B planning by analyzing customer purchasing patterns, contracts, repeat orders, and sales pipelines.

For example, a B2B ecommerce company can analyze previous orders, seasonal demand, active sales opportunities, and customer purchasing patterns to estimate next quarter’s sales revenue.

AI and predictive analytics can make sales forecasting more sophisticated by identifying patterns across large datasets and generating forecasts. However, forecasts are estimates rather than guarantees, and unexpected market changes, customer behavior, pricing changes, supply issues, or economic conditions can affect actual sales.