Most organizations lack the tools and data insights to accurately assess the deals in their pipeline, resulting in low levels of forecast accuracy.
Regularly achieving your forecast delivers stability to the business and creates the predictability required for growth. CRM systems only provide a picture of ‘what’ happened, not why or how. By applying a sales insight platform, it is possible to uncover deal health, receive real-time deal predictions, and validate forecast assumptions. And organizations that leverage a structured forecasting process increase their win rates by 25%.
With so much to gain, why is it that most organizations still adopt a subjective approach to forecasting?
Improve forecast accuracy with the next generation of AI: Deep learning.
Unlike traditional AI, which is based on human-led statistical analysis and assumptions, deep learning AI is an incredibly intelligent system that mimics the workings of the human brain. It can read results, understand nuances and rationalize outcomes, constantly learning from every interaction to improve intelligence and enable highly accurate predictions.
Apply this to your sales CRM alongside other time-sequenced data, such as emails, or accounts records, for example, and suddenly you have a means of gaining highly accurate sales insights to generate forecasts that will transform your sales function. Because it is able to determine for itself what features are important, it alleviates the burden of feature extraction, and the more data you give it, the more accurate it becomes over time.