A lot of people talk about AI based planning - we apply AI solutions
smartPM.solutions uses both statistical methods and AI based planning and with our analysis approach, more than 40 networds are tested and the best one is selected automatically. By using the smartPM Sales Performance Forecasting Module the forecast with the best fit is suggested. Especially in times of increased volatility and uncertainty, precise forecasts can be crucial to make appropriate decisions rapidly.
A lot of people talk about AI in planning - we apply AI.
Key benefits of smartPM's AI based planning
Learn how we have helped other companies
Sales Performance: Forecast closing chances for leads and opportunities
smartPM.Solutions use Machine Learning and Artificial Intelligence methods to deliver the most accurate probabilities of winning an opportunity and for estimating the actual closing month. Contrary to common closing month estimation made by the opportunity owners, based only on their experience and subjective feelings, ML methods use all the relevant factors and previous experience of all opportunity owners to deliver the most accurate winning probability estimation. We leverage our expert mathematical and statistical knowledge and tools like R and Python with their most up-to-date libraries.
Flexibility and robustness
Depending on the data and its dimensionality, some methods may be more, some less accurate. For the winning probability estimation, up to three different ML-methods are compared. SPM experts who think that artificial intelligence should be supported by human intelligence, may fine tune the methods by choosing the most appropriate kernel and activation functions or number of layers and nodes for Neural Networks. Users with less mathematical background may use the default functions to let the system automatically choose the most accurate method.
While choosing the most appropriate method for revenue forecasting, there is no ultimate recipe – it is all depends on the data. That is why we use different statistical and ML-methods to be able to compare them and choose the most accurate one for the future forecasting. Also here we give the freedom of fine-tuning and adjustment of parameters of the number of trained networks, or letting the system to make the entire work for you.
In many cases, sales revenue depends on external factors like weather or some macroeconomic values. The multivariate forecasting method allows for taking several external factors into account. AI will automatically pick the most relevant of them and adjust the forecast to make it even more accurate.