Susan Cooper Email and Phone Number

My data-driven approach involves developing and analyzing metrics and reports, meticulously scrutinizing details, and collaborating effectively with cross-functional teams. As a result, I have been able to establish and execute effective demand planning processes that have contributed to overall business success.· Demonstrated expertise in demand planning by establishing the first eggnog holiday demand review and aligning customer level forecasts. As a result, the holiday season forecast accuracy improved significantly to 2.74% and a fill rate of 97%.· Developed and implemented customer level templates to gather holiday forecasts.· Lead project team to develop the correct demand signals to achieve the perfect holiday season. · Provided requirements for holiday metric reports and helped develop metric dashboards to track customer level performance to forecasts and YoY business results for weekly triage meeting which I lead. · To ensure the overall stability of demand forecasts, I developed weekly consumption reports to track business performance and trends. · Developed a forecast change report to communicate forecast adjustments to supply planning and report month over month changes during demand reviews. · Conducted monthly demand reviews and determined forecast accuracy targets to communicate demand forecast improvements to cross-functional team members.· Successfully stabilized the consumer product demand forecasts and established weekly meetings with Supply planners and portfolio leaders to review consumption, forecast changes and overall business and market trends.,· Worked on the project team for the implementation of Oracle Demand Planning Cloud, which significantly improved the demand planning process.

Category responsibilities: merchandise, tea, package food, evolution fresh, RTD & RTE. Largest focus was to improve WMAPE and BIAS and to provide supply planning with the correct signal.· Improved Tea BIAS in 2017 from 12.2% to 7% and 2018 RTD & RTE BIAS from 2.3% to .52%, I analyzed historical data, identified trends and patterns, improved forecasting models, and worked with cross-functional teams to develop and implement demand planning strategies that better reflected actual customer demand. · Achieved specific BIAS goal of 1% and WMAPE targets for 8% for Classic Chai, I analyzed sales data, updated warehouse splits and forecasts, and working with the supply planner to adjust safety stock and vendor lead times to optimize inventory levels and improve forecast accuracy. · Conducted deep dive analysis on hourly iced tea sale to identify how much store inventory was required for iced tea pitchers. Worked with cross-functional teams to develop and implement a launch strategy for white iced tea that better aligned to the store's needs. · Established 1st demand review with license store US & CA and Canadian Company Owned stores. Worked with cross-functional teams to develop and implement a process to regularly review and adjust demand planning strategies based on the business requirements. Reviewed KPIs, sales performance and aligned on promotional quantities and forecasts.· Successfully completed a 12-week project management course which focused on training methodologies and tools. I have applied these skills to work-related projects and demonstrated proficiency in project management techniques.

Category responsibilities were merchandise, card, tea, gift packs, music, and package food. Largest focus was to ensure the right merchandise was in the right store. · Replenishment lead for music warehouse transition from Ditan warehouse to new Cinram location.· Project lead for music fixture removal across all US & Canadian stores. Determined the most cost-effective method was to recycle the metal rather than repurpose. · To optimize inventory and increase profitability I added store sell thru % and week off supply to replenishment templates. · Less than 2% error rate achieved by adding 6 audits to the replenishment template.· Lead weekly package food meetings to review current store and warehouse inventory position and recommended future buy quantities.