View all jobs Demand Planner Cape Town, Western Cape · Retail Apply Now Job Purpose:
The Demand Planner is responsible for accurately forecasting product demand to optimize inventory levels, minimize stockouts, and reduce excess stock. This role leverages data analytics, market trends, and collaboration with sales/marketing teams to ensure the right products are available at the right time, driving profitability in a fast-paced retail environment.
Key Responsibilities:
1. Demand Forecasting & Analysis
Develop statistical demand forecasts using historical sales data, seasonality, and market trends.
Collaborate with buying, marketing, and store teams to incorporate promotions, new launches, and external factors (e.g., holidays, economic shifts).
Adjust forecasts in real-time based on sell-through rates and inventory turnover .
2. Inventory Optimization
Maintain optimal stock levels to prevent overstocking or shortages.
Identify slow-moving items and recommend markdowns or bundling strategies.
Work with suppliers to align lead times with demand projections .
3. Cross-Functional Collaboration
Partner with merchandising to plan assortment strategies.
Liaise with logistics to ensure timely replenishment and warehouse capacity planning.
Share insights with finance for budgeting and cash flow planning.
4. Reporting & Technology Utilization
Generate weekly/monthly demand reports (forecast accuracy, bias, inventory health).
Use ERP, demand planning software (e.g., SAP IBP, Oracle Demantra), and advanced Excel (pivot tables, macros).
Implement AI-driven tools for predictive analytics where applicable.
5. Continuous Improvement
Refine forecasting models using machine learning or regression analysis .
Monitor retail KPIs (GMROI, stock-to-sales ratios, fill rates).
Stay updated on retail trends (e.g., omnichannel demand shifts).
Required Skills & Competencies:
Technical Skills
✔ Demand Planning Tools – SAP IBP, JDA, Logility, or similar
✔ Advanced Excel/Sheets – Pivot tables, VLOOKUP, statistical functions
✔ Data Visualization – Power BI, Tableau
✔ Statistical Modeling – Time-series analysis, regression, machine learning basics
✔ Retail Metrics – GMROI, sell-through, weeks of supply
Soft Skills
✔ Analytical Thinking – Translating data into actionable strategies
✔ Collaboration – Bridging gaps between sales, supply chain, and finance
✔ Attention to Detail – Ensuring forecast accuracy amid volatility
✔ Adaptability – Responding to market disruptions (e.g., supply chain delays)
Qualifications & Experience:
Education:
Bachelor’s Degree in Supply Chain, Statistics, Business, or related field
Certifications (Preferred):
CPF (Certified Professional Forecaster) – IBF
CSCP (Certified Supply Chain Professional) – APICS
Six Sigma (Green Belt) – For process optimization
Experience:
3–5 years in demand planning, inventory management, or retail analytics .
Retail sector experience (e.g., apparel, FMCG, electronics ) is essential.
Familiarity with omnichannel retail (brick-and-mortar + e-commerce demand integration).