Sales analytics is generally confined to two dimensions, sometimes three,
in BI dashboards and Pivot Tables. Sales in various locations, sales versus the number of employees,
sales in different weather conditions, and many more graphs to read. What would we get if we could
analyze all the variables together against sales (or profit, or revenue)?
To perform such an analysis, we need to go beyond BI, we need Machine Learning.
Intricate relationships between sales and all other variables are often unseen, even by the experts of the field because of the size and complexity of the data. Machine Learning takes your sales numbers and compares them to every other column, together, to find the best (and worst) correlations. These correlations often hide key insights on your sales, for the present and the future.
Enhencer builds Machine Learning models in a few clicks and you can see the results and the performance of the model visualized, as easy as a BI platform. Plus, thanks to the transparency of the algorithm, you will not only see the best and worst performers but also shed light on why a dealer is performing good or bad. When you know why certain dealers underperform, you can then take clear actions to convert them to high performers.
Enhencer lets you share your predictions with others in beautiful dashboards. That’s why we call it: Predictive Storyteller
Use our offline and online data integrations for a continuous flow.
Integrate predictions in any format to take actions