Professional Resume Template for
Demand Planner
Clara J. Sterling
Chicago, IL
(312) 555-0147
clara.sterling@proton.mail
linkedin.com/in/clara-sterling-supplychain | clara-sterling-portfolio.com
Professional Summary
Methodical Demand Planner with 5 years of supply chain management history optimizing inventory levels and statistical forecasts within the consumer packaged goods (CPG) sector. Specializes in implementing collaborative planning, forecasting, and replenishment (CPFR) strategies and managing Sales and Operations Planning (S&OP) cycles for portfolios of over 450 active SKUs. Successfully reduced Mean Absolute Percentage Error (MAPE) from 24% to 14.5% and maintained a 98.2% On-Time In-Full (OTIF) customer service level. Proficient in SAP IBP, Oracle Demantra, Advanced Excel (VBA/Power Query), Tableau, and SQL.
Work Experience
Demand Planner — Lumina Consumer Products
Chicago, IL | October 2023 – Present
- Formulated statistical demand models in SAP IBP using double exponential smoothing algorithms, reducing forecast error (MAPE) by 9.5% across 180 high-volume SKUs over a 12-month period.
- Collaborated with Sales and Marketing teams to integrate promotional calendars into the demand forecast, which boosted product availability and achieved a 98.4% OTIF service level during the Q4 peak demand season.
- Managed weekly S&OP reconciliation meetings with Supply Planning and Logistics to align supply plans with forecasts, resolving 42 inventory bottlenecks and saving $75,000 in expedited shipping costs.
- Utilized Power Query and SQL to automate demand dashboard reporting, reducing the team's weekly forecast preparation and analysis time from 15 hours to 3 hours.
Supply Chain Analyst — Summit Food Brands
Milwaukee, WI | June 2021 – September 2023
- Analyzed historical shipment data in Oracle Demantra to identify seasonal trends, which improved baseline forecast accuracy by 12% across a $4M beverage portfolio.
- Calculated safety stock targets and reorder points for 320 active SKUs using statistical inventory models, decreasing excess warehouse carrying costs by $110,000 annually.
- Engineered automated inventory tracking alerts in Tableau, which decreased regional warehouse stockouts by 18% and reduced replenishment lead times by 1.5 days.
- Partnered with 8 key raw material suppliers to streamline replenishment schedules, raising vendor on-time delivery rates from 81% to 93% over a 6-month period.
Education
Bachelor of Science in Supply Chain Management
Marquette University · Milwaukee, WI · 2021
Skills
Statistical forecasting, Sales and Operations Planning (S&OP), Inventory optimization, Safety stock calculation, CPFR, MAPE/WAPE reduction, SKU rationalization, SAP IBP, Oracle Demantra, Microsoft Excel (VBA & Power Query), Tableau, SQL, Supply chain risk management, Capacity planning
Projects
SKU Rationalization & Optimization Initiative
Role: Lead Demand Planner
Tools: Oracle Demantra, Advanced Excel, SQL, Tableau
Led the analysis of 600+ active SKUs based on volume and margin, resulting in the decommissioning of 85 underperforming products and a 14% reduction in warehouse holding costs.
S&OP Process Digitalization Project
Role: Supply Chain Representative
Tools: SAP IBP, Microsoft Power BI, Microsoft Teams
Coordinated the transition of S&OP meetings from manual spreadsheets to SAP IBP, reducing forecast cycle time by 4 days and improving forecast alignment across sales and operations by 18%.
Certifications
- Certified in Planning and Inventory Management (CPIM) – ASCM (2022)
- Certified Supply Chain Professional (CSCP) – ASCM (2023)
- Certified Professional Forecaster (CPF) – Institute of Business Forecasting (2024)
Additional information
- Languages: English (Native), Polish (Professional Working Proficiency)
- Volunteer Work: Mentoring youth through Supply Chain Association outreach programs (2023-present)
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Demand Planner
Job Market Insights
$70,000
-
$88,000
Avg:
$79,000
Growth Outlook:
Demand for Demand Planners and Logisticians in the United States is projected to grow by 17% from 2024 to 2034, which is significantly faster than the average for all occupations. This growth is driven by the increasing complexity of global supply chains and the need to optimize inventory costs. The integration of AI and machine learning in forecasting software is transforming the role, making data-driven statistical modeling and S&OP coordination highly valued. Consumer goods, manufacturing, and retail sectors will continue to see the highest density of job openings.
17% growth over 10 years
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