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Forecast optimisations at the touch of a button
With the introduction of an automated rolling extrapolation, controlling can be offered a high analytical added value at the push of a button. With the Predictive Sales Forecast Starter Set the susceptibility to errors of the manually performed monthly extrapolation is greatly minimised. Zn addition whe due to the enormous time saving capacities are freed up.
The advantages at a glance:
- 1-Planning optimisation: Companies benefit from a clearly structured monthly rolling projection process and have a very good complement to regular planning with the Rolling Forecast.
- 2-Efficiency increase: The budgeting process is optimised and thereby less errorsfellig. The information density and The information density and forecasting accuracy are massively increased, while at the same time the manual workload is greatly minimised.
- 3-Generate competitive advantage: By recognising early indicators - e.g. fluctuations in key sales figures - those responsible can observe developments and basically act on them with foresight.
- 4-Flexible control options: Constant time horizons can be mapped independently of the financial year. The focus can be on monetary and non-monetary KPIs.
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The Predictive Sales Forecast Starter Set:
As part of the automation of rolling projections, s-peers specifically relies on a system developed and implemented in-house, which forecasts all forecast values based on the latest algorithms at the click of a mouse. This can include all forecast scenarios for organisational business units, e.g. locations, branches or subsidiaries. Rolling long-term forecasts of quantities to be sold lead to optimised medium- and long-term procurement processes and also support the long-term assessment of company units or products. With the s-peers Starter, s-peers offers the company a quick and safe entry into automated rolling long-term forecasting, whereby you also benefit from additional BI reporting functions.
What is the focus of the implementation of an automated rolling forecast?
- 1-Automated rolling long-term forecast of sales volumes and turnover for all business units with a very high forecasting accuracy can be created at the push of a button.
- 2-Intelligent analysis tools (monitoring) efficiently support the monitoring of data quality (outlier analyses).
- 3-Predefined reports as a starting point for further analyses: comparison of the forecast values with the actual and previous year's values.
- 4-IBCS®-compliant representations.
- 5-Possibility to create own reports based on the predefined data model (self-service).
- 6-Collaboration and commenting functions.
How is the rolling long-term forecast solution implemented?
To achieve highly accurate forecasts, the s-peers Starter provides 29 algorithms with up to 100 models. Model selection is done by a combination of AIC1 and sales-weighted MAPE2. Sales volumes per product are forecast and multiplied by the last available monthly average price to obtain a reliable sales forecast. Forecasts are also possible for entities/sites or other business units.
What are the functions used for rolling planning?
The algorithm is triggered via the SAP Data Warehouse Cloud (DWC). All the necessary system libraries and the algorithms are available via the web services of the Google Cloud Platform. The automated predictive sales forecast is integrated into an SAP Analytics Cloud Story - the forecast values are compared with the actual and previous year's values and can be analysed and processed accordingly. Bundling the forecasting, analysis and reporting functionalities in a single platform with a uniform database enables seamless exchange between all business units (supported by collaboration and commenting functions, among other things).
What is the implementation process?
- 1-Fast deployment mode via cloud infrastructure.
- 2-Set-up for s-peers starter and introduction.
- 3-Full remote access mode available.
- 4-Typical set-up time: 2-3 days.
Which software solution do we use for the automated rolling forecast?
- 1-SAP Data Warehouse Cloud.
- 2-SAP Analytics Cloud.
- 3-R server (via Google Cloud Platform Services).
Contact Info
+44 77170 34353
Akash.Singh@NexaAnalytics.co.uk
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