Develop Deep Data Insights
Develop Deep Data Insights
Develop Deep Data Insights
Data Science Made Easy
You likely already have a forecasting tool in place, but you need something to supercharge its performance or replace your reliance on spreadsheets with a more advanced and structured solution for demand planning.
​
Enter Cauself.
If you're using a demand planning tool, it probably only considers invoiced demand history for statistical forecasting and overlooks the drivers behind the demand, such as promotions, discounts, and advertising. As a result, you often need to manually adjust forecasts when sales plans change.
Cauself allows you to define future sales drivers and see immediate forecast results. While the system still automatically identifies trends and seasonal patterns, Cauself enhances accuracy and forecast control by incorporating the factors that drive your demand – the focus of your sales and marketing teams.
With Cauself's robust forecasting methodology, you can derive value regardless of available data and progressively become more sophisticated over time. Even without causal data, you can still generate forecasts. Moreover, Cauself enables advanced forecasts aligned with your business's sales plans, improving accuracy where it matters most.
And the best part? Cauself makes advanced data science and modeling quick, easy, and intuitive – all without sacrificing accuracy. Our solution has been benchmarked against other data science service providers and consistently delivers strong results.
​
In a recent comparison, we pitted Cauself against bespoke models generated by an outsourced data science service over a three-month engagement. The analysis encompassed pricing, promotional display type, advertising, and other factors.
The results were compelling:
-
With just four hours of effort, Cauself delivered a more accurate forecast for 66% of the 85 products analyzed.
-
Even when using the system-generated models without the additional four-hour review, Cauself outperformed, with 57% of its models proving more accurate than those created by the data science service.
These findings underscore the efficiency and effectiveness of Cauself's forecasting capabilities, showcasing its ability to deliver superior results with minimal effort.
​
In a recent analysis involving 14 products, the Cauself solution demonstrated significant improvements in forecast accuracy. Using solely a system-generated forecast, Cauself outperformed the company's past operational forecasts, which were developed through detailed data analysis.
Here's a snapshot of the findings:
-
The Cauself forecast, incorporating price and promotional details, was generated within just one hour.
-
Across the sample, Cauself provided an average improvement in accuracy of 5.8%.
-
For some products, the improvement was even more substantial, reaching up to 11%.
These results underscore the rapid and tangible benefits of implementing Cauself, with its ability to swiftly enhance forecast accuracy, ultimately driving better decision-making and improved operational efficiency.