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Analyze historical demand and filter out outliers (exceptions from the norm).
Outliers will be identified based on historical trends and knowledge of the various brands, however, by exception; they would be identified in conjunction with discussions with the category teams.
Identify the most appropriate statistical forecasting algorithm
Develop the base demand plan using the most appropriate statistical forecasting algorithm and make adjustments where necessary
New product demand plan
Discuss new products with Marketing and Category Management and advise them on appropriate historical substitution and like modelling techniques
Generate the new product forecast using the historical substitution and like modelling techniques agreed with Marketing and Category Management
Facilitate the Demand Planning Process: (weekly and monthly process)
Identify and analyse exceptions to be discussed
Present the exceptions at the monthly meeting or raise the exceptions with the relevant National Account Manager or Category Manager and facilitate the process of reaching consensus on the final forecast number
Chair 40% of the Demand Planning meetings, and co-chair the remainder with the Category Planner.
Challenge the Category Team
SKU Classification:
Collate key business information from marketing, category management and category accounts.
Capture relevant information, analyze and generate an SKU classification proposal.
Communicate proposal and make amendments if required.
Communicates scenarios to change the phasing of demand to Category Managers and National Accounts Managers and agrees appropriate action
Continuous improvement
Analyze forecast accuracy and identify and implement process enhancements to improve forecast accuracy
Communicate forecast accuracy information to Category Managers and National Accounts Managers to motivate improvement in forecast accuracy
Coach Category Managers and National Accounts Managers on forecasting techniques to improve forecasting accuracy
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