Presented monthly forecast updates to senior management, highlighting key changes and risks in the demand outlook.
- Monitored actual sales performance against forecasts, adjusting plans as necessary to ensure optimal inventory levels are maintained.
- Ran weekly fill rate reports to highlight potential issues and corresponding solutions.
- Analyzed historical data to identify patterns, trends, and seasonality for use in demand forecasts.
- Communicated demand plans to manufacturing sites to resolve gaps between demand and supply plans.
- Championed a culture of continuous improvement within the Demand Planning team by regularly reviewing processes, tools, and methodologies for potential enhancements.
- Collaborated with sales teams to gather information on promotions, new product launches, and phase-outs for incorporation into the demand plan.
- Provided ad-hoc analytics and operational expertise to drive fact-based inputs into forecasting.
- Utilized historical data, statistical software, and marketing intelligence to develop and maintain forecast for [Product or Service] lines.
- Supported new product introductions by working closely with Product Management teams to develop accurate launch forecasts based on historical analogs and market research data.
- Led monthly consensus meetings with stakeholders from various departments including Sales, Marketing, Finance and Supply Chain.
- Conducted root cause analysis on forecast errors, identifying areas for improvement and implementing corrective actions.
- Evaluated forecast performance metrics regularly, driving continuous improvement in forecast accuracy rates.
- Utilized advanced Excel functions and tools for data manipulation, analysis, and visualization in support of demand planning activities.
- Assisted in the implementation of a new Demand Planning software system that increased efficiency and improved collaboration among departments involved in the S&OP process.
- Reviewed historical sales trends and researched demand drivers to prepare forecast data and develop statistical forecast models.
- Tracked key performance indicators to measure success of campaigns.
- Collected and analyzed data from variety of sources to create detailed market research reports for top-level decision makers.
- Collaborated with cross-functional teams to develop and implement market research strategies.