Demand Planner - Ashbourne, United Kingdom - Trouw Nutrition

Tom O´Connor

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Tom O´Connor

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Description

Forecasting

  • Maintain demand planning master data and systems and software, maintains relevant data and monitors / analyses trends to further enhance the forecast.
  • Prepares and monitors of the KPIs forecast accuracy, bias and error to help identify improvement areas and monitor performance.
  • Keeps up to date with the latest forecasting theory and concepts in order to become as effective as possible, including the use of aggregated forecasting techniques and statistical methods.
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Data and information gathering

  • Collects timely the right input / data and information from sales (and marketing) about seasonal effects, sales plans, promotions, market trends, distribution changes, tenders, product introductions and product terminations in order to combine all relevant information into the forecast.
  • Works with sales to develop a robust prospect/new business process in order to capture information at the right time about new products and how to include these in the forecast.
  • Identifies variances based upon historical production performance and expected future activities of products, and planning inventory needs for future demand
  • Identifies relevant marketrelated data and competitive intelligence that is relevant for the demand forecasting process
  • Identify sales opportunities and risks and propose push sales on available capacities and RM
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Collaborative planning

  • Prepares relevant material to facilitate discussion and facilitates / manages the monthly demand meeting, in which the input from sales & marketing is discussed beforehand
  • Achieves consensus for operational demand forecasts by facilitating a collaborative planning process with sales & marketing.
  • Collaborate with key customers planning teams to tend to collaborative and integrated plan.
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Continuous improvement

  • Proposes improvements to the forecasting process and putting it into practice
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Projects

  • Participates in various projects with the aim of improving the forecast reliability and/or the forecasting process

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