Empower your end users to find and fix forecast related issues with ease
Built on SAP Analytics Cloud and SAP Business Technology Platform, acts as your AI-powered magnifying glass, uncovering outliers at the product/location/day level before they spiral into overstocks, stockouts, or lost sales.
Benefits
Seamlessly navigate through billions of records of data, bringing order to chaos
By calculating forecast errors and aggregating them through your existing product and location hierarchies, we are able to guide end users to problematic forecasts within their entire dataset. This means that they no longer have to figure out what to look at and where to spend their time as our solution does this for you. All you have to do is decide what action to take, saving countless hours of analysis.
Optimize UDF by comparing model and forecast results for new parameter sets
Instead of analysing just a subset of data when making parameter changes to the system, which may have an undesired effect when applied to the entire dataset, we enable users to analyse the impact that parameter changes have across all products and locations. This ensures that they are making informed decisions and guaranteeing a positive outcome when attempting to optimise modelling and forecasting.
Enables proactive system monitoring
Use our dedicated dashboard for monitoring the overall performance of UDF. Identify potential problems early, like longer job runtimes, increasing tables sizes, and increasing memory usage, to ensure that issues are addressed ahead of time preventing forecast and replenishment challenges. Also, enable users to pinpoint if there are specific jobs and variants that are negatively impacting the solution performance.
Features
Integrate to SAP standard Fiori applications
Once users have decided which data to take a closer look at then they can easily navigate with a single click from our dashboards to SAP Customer Activity Repository analyze forecast app for further investigation and root cause analysis.
Apply filter, rank, and sort options to further isolate forecast issues
Further focus the data to specific categories, products, locations, rate of sale, and apply rankings to help identify where users should spend their time.
Benefit from live connections to the data for immediate analysis
Users have the option of running live analysis based on changes made to the system throughout the day. This enables faster decision making, leading to earlier business benefits of improved modelling and forecasting.
