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Supply Forecasting - Strategy, SPX Express

Salary undisclosed

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Job Description

  • Analyze historical periodic sales data, geographical market trends, and cost structure to develop volume allocation projection plans throughout the year.
  • Collaborate with cross-functional teams, including marketing, operations management, to understand demand patterns, promotions, and new product launches.
  • Collaborate with logistics operations to identify and evaluate potential risks, constraints, and opportunities to develop a more accurate demand planning.
  • Monitor and maintain optimal backlog multipliers within key performance indicators (KPIs) for each area and key third party logistics partners to ensure balance between the ecosystem.
  • Conduct regular study and reviews on industry trends, emerging technologies, and best practices in ecommerce logistics in order to stay informed in decision making.
  • Perform robust regular review on the planned volume allocation strategy and make changes when necessary.
  • Communicate allocation plans and forecast updates to relevant stakeholders, ensuring alignment and understanding across the organization.
  • Collaborate with vendors, suppliers, and third-party logistics partners to coordinate inbound and outbound shipment schedules and optimize transportation efficiency.
  • Assist in developing and implementing process improvements and best practices related to volume allocation and forecast planning.

Requirements

  • With at least 3 years of working experience in the Supply Chain, Logistics and E-commerce or relevant industry
  • Bachelor's Degree (or higher) in a relevant field such as Business, Engineering, or Supply Chain.
  • Relevant work experience may be considered in lieu of a degree.
  • Proven experience in volume allocation, demand forecasting, or inventory planning within an ecommerce or retail environment.
  • Strong analytical and problem-solving skills, with the ability to interpret complex data sets and generate actionable insights.
  • Proficiency in using forecasting tools and software, as well as advanced knowledge of Microsoft Excel or similar spreadsheet applications.
  • Knowledge of statistical modeling and forecasting techniques and experience with SQL is preferred.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex information in a clear and concise manner.