How Predictive Analytics Enables B2B Demand Forecasting?

Accurately forecasting B2B demand in the traditional sense comes with its own set of challenges. There are several common issues in the old approach including incomplete and inaccurate data, historical data, subjective inputs from the marketing team, and dynamic shifts or volatility of the market.

For example, outdated customer information, incorrect product pricing, or any other data can influence the result. Likewise, biased inputs from the marketing/sales department can lead to over/underestimating of pre-sales data. And not to forget the changing economic environment. All these factors contribute to the challenges in traditional B2B demand forecasting.