Spend Forecasting
Create a forward-looking view on procurement spend, prices, quantities and profitability.
Procurement and finance can predict profitability together
Had enough of looking in the back mirror?
Do you feel your procurement organization is always looking behind? Is too much focus on past spend, when you should be looking forward?
Leading businesses recognize the need to analyze levers impacting bottom line performance – while also looking ahead to drive profitability.
See how Kellogg Company turned from backward looking number crunching to value added analysis.
Are your forecasts run by the Spreadsheet Monster?
Is your forecasting process based on monstrous spreadsheets shared via emails? Does the data come from many sources and many stakeholders? Does anybody even trust the numbers?
A well-defined forecasting process with automated data integrations enables you to move from strenuous data gathering to deeper insights and analysis.
See how Becton Dickinson slayed the Spreadsheet Monster with a forecasting solution based on trusted and traceable data.
Pointing fingers instead of driving forward?
No common ground between procurement and finance? Are efforts on creating savings and reducing future spending not even acknowledged by other stakeholders?
Find out how you can align key stakeholders to predict future profitability together in our most popular guidebook with over 10,000 readers “Procurement Loves Finance.”
Take advantage of Spend Forecasting - the only software solution to predict future profitability with procurement spend
Gain visibility on what impacts your future profitability.
While analyzing historical spend may highlight missed savings opportunities, real impact comes when you predict and react to opportunities beforehand.
Sievo’s Spend Forecasting collects and maintains all your budgets and forecasts in one place. When software does much of the heavy lifting and data crunching, you gain access to more advanced analytics on the real drivers of procurement cost.
Build trust with forecasts traceable to the source.
Let’s face it, forecasting via Spreadsheets is painful. Files shared and updated over email or Sharepoint are prone to human errors. Once you’ve saved the same file many times it’s difficult to trace back data to a source, or know where potential errors originated.
In Sievo, all forecasts are linked to and based on transaction-level purchasing data. Everything seen on the screen can be explained from the bottom up. This leads to confidence in the whole forecasting process.
Automatic integrations to any data sources speeds up the forecasting process considerably, allowing more time for deep analysis and faster iterations.
If you value the quality of your data and forecasts, it’s time to leave Spreadsheets behind.
Procurement and finance to work better together.
There are few things procurement and finance trust more than accurate data. Once you’ve established a forecast process with data you both trust it’s time to take communication and cooperation to a higher level.
With Sievo, forecasts are not tied into process-driven data crunching, but collaborative analysis and action. By isolating savings opportunities from market-driven components you drive more cross-functional actions.
Continuous and relevant input from both procurement and finance ensures the best ideas are brought to the table.
With collaborative Spend Forecasting, procurement and finance work together towards the same set of targets, have one shared version of the facts and figures to discuss on, and deliver results in efficient and transparent way.
Ready to see more of Spend Forecasting?
Spend Forecasting in Direct Categories
Hear Sievo’s product specialists discuss the different use-cases, challenges and solutions for Spend Forecasting in direct categories.
Look beyond Spend Analytics
Find out how you can move past previous spend analysis and embrace predictive analytics in procurement.
Get on the road to Spend Forecasting
Read how all organizations can take steps to more reliable and effective procurement spend forecasts.