This quiz on Forecast and S&OP Processes evaluates understanding of supply chain operations, including event consolidation, demand forecasting adjustments, data loading, and collaborative analysis. It's designed to enhance strategic decision-making skills in supply chain management.
Global Demand Planner
Country Finance controller
Local Demand Planner
Product Manager and Marketing
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1. Discuss best case scenarios 2. Have capacity meetings with production to check if best case scenarios are feasible
1. Get the latest information from the people closest to the market 2. Make sure everyone’s expectations are aligned
1. Analyse large deviations between the events from sales and budget assumptions 2. Adjust the events from sales to reduce deviations
1. Analyse large deviations between the events from sales and budget assumptions 2. Meet with the country finance controller to create explanations
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Increase demand forecasts in an intend to cover unpredictability
Amendments to statistical forecast should be based on specific insights
Make the forecast fit another plan which e.g. represents what we wish to sell – if it is not realistic
Spend a lot of resource on micro adjust figures based on hitches
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Collaborative analyses
Historical data analyses
Update forecasting tools
Capacity management
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Spend time adjusting prices when the changes are minor
Focus on facts based events: campaigns, tenders etc.
Increase forecasts in order to cover for best case sales scenarios
Be part of an over-optimistic sales atmosphere
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Get the most likely forecasts for the new products. Identify also best case and worst case so that you can work together with plants and S&OP team on mitigating risks
Mitigate the input from Marketing
Forecast the best case scenario in order to avoid any lost sales
Forecast the worst case scenario in order to avoid scrapping
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Update Master data
Add buffer to final forecasts for covering for additional sales
Review statistical forecasting models
Approval of the Final Forecasts
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Load new demand history data into APO
Make corrections to the historical data to fit the new forecast in APO
Copy the old forecast into APO
Load the financial forecast into APO
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Update current forecasting tools with the historical data
Meet with finance to get input to the current forecast
Collect sales driven events from Sales
Talk to country management to get input to the S&OP meeting
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Have different sets of forecasts across the organization
Have a well documented forecasting suggestions ready
Share the forecast with the plants even if it is not endorsed by country management
Spend resource on adjusting figures to be within accepted limits
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1. Final review and if any last changes to the forecast 2. Ensure alignment with key stakeholders in business
1. Have alignments meetings with Product Managers and Marketing 2. Update the statistical forecasting models
1. Get the latest information from the people closest to the market 2. Challenge their input based on historical facts
1. Get the updated forecast for any new products from marketing 2. Get the latest SAP APO information on new products from Global Demand Planning if necessary
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1. Get the latest information from the market environment 2. Challenge their input based on previous historical changes
1. Have alignment meetings with Product Managers and Marketing 2. Create best / worst scenarios for the new products
1. Get a formal endorsement of the final forecasts both volume & value 2. Communicate “one set of numbers” across the organization
1. Analyze large deviations between the final forecast and budget 2. Meet the with the country finance controller to create explanations
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Use EXCEL to calculate new statistical models before uploading the historical data
Wait for the data to be available in APO to make a sanity check
Make changes to the historical data before uploading
Sanity check based on current knowledge before uploading the file
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Local Demand Planner
Country Management
Global Demand Planner
Product Manager
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Focus on details on the stable products segments
Request to Global Demand Planning if any SKU’s are missing to the new products
Add buffer to the forecast to cover possible upsides
Add events in APO if this is not the most likely scenario
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Local Demand Planner
Finance controller
Product Manager
Global Demand Planner
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Move data to excel to make a control calculation of the new forecasting models
Load new demand history data into APO
Have alignment meetings with Product Managers and Marketing
Sharing results of the process to key stakeholders
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B & C segment
X & Z Segment
X & Y segment
All segments will benefit greatly with statistical forecasting
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Local Finance controller
Senior Management
Local Demand Planner & Product Managers
Global Demand Planner
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Quiz Review Timeline (Updated): Mar 21, 2023 +
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