Retail Planner (Apparel)

Vishal Mega Mart Limited; Gurugram District; Vor Ort; INR 1.800.000 - 3.000.000; Vollzeit

Zusammenfassung

Vishal Mega Mart Limited in India is seeking a senior Retail Planning and Analytics professional to lead demand planning and OTB for Apparel and General Merchandise, driving AI-enhanced forecasting and inventory optimization.

You will partner with Buying, Merchandising, Supply Chain and E-commerce teams, build forecasting models in Python/SQL, and develop dashboards to monitor KPI performance and profitability.

Qualifikationen

• 5+ years of experience in the retail industry, fashion/apparel or hypermarket.
• Hands-on planning: Retail, Demand, Merchandise and OTB.
• Strong ability to translate data into business decisions.
• Exposure to AI/ML and automation in planning preferred.
• Proficient in Excel, SQL, Power BI, Python, Tableau.

Aufgaben

• Lead Demand, Merchandise and OTB planning for Apparel and GM.
• Develop Open-to-Buy plans aligned with targets.
• Prepare demand forecasts using historical data and trends.
• Drive assortment, allocation and replenishment planning at store/category/SKU.
• Monitor KPIs: Sell-through, stock cover, inventory days, weeks of supply, GMROI, markdown, forecast accuracy.
• Conduct sales, inventory and trend analytics to identify opportunities/risks.
• Partner with Buying, Merchandising, Category, Supply Chain, E-commerce and Business teams.
• Develop dashboards and automated reporting for planning and performance.
• Identify opportunities to leverage AI/ML for forecasting and automation.
• Build forecasting models and analytical solutions using Python, SQL and BI tools.
• Drive continuous improvement and automation of planning processes.
• Lead and mentor Retail Planning/Analytics team.

Kenntnisse

Retail planning

Demand planning

Open-to-Buy

Forecasting

Analytics

Python

SQL

Power BI

Excel

Tools

Python

SQL

Power BI

Tableau

Excel

Jobbeschreibung

To drive data-driven retail planning and business performance by leveraging advanced analytics, demand forecasting, inventory optimization, and assortment planning. The role is responsible for identifying growth opportunities, improving inventory productivity, and enhancing profitability through effective pre-season and in-season planning. As the organization adopts AI-driven automation, the incumbent will play a key role in solving complex business problems, developing analytical models, and enabling strategic decision making that improves sales, margins, and customer experience.

Job Responsibilities:

• Lead Demand Planning, Merchandise Planning and OTB for Apparel and General Merchandise categories.
• Develop and manage Open-to-Buy plans aligned with business targets, AOP, sales plans and inventory budgets.
• Prepare demand forecasts using historical sales, seasonality, trends, promotions, pricing and external factors.
• Drive store/category/SKU-level assortment, allocation and replenishment planning.
• Monitor and optimize key KPIs including: Sell-through, Stock cover, Inventory days, Weeks of supply, GMROI, Markdown, Gross margin & Forecast accuracy
• Conduct sales, inventory and trend analytics to identify business opportunities and risks.
• Partner closely with Buying, Merchandising, Category, Supply Chain, E-commerce and Business teams.
• Develop dashboards and automated reporting for planning and business performance.
• Identify opportunities to leverage AI/ML and predictive analytics for demand forecasting, inventory optimization and planning automation.
• Build forecasting models and analytical solutions using Python, SQL and BI tools.
• Drive continuous improvement and automation of existing planning processes.
• Lead and mentor the Retail Planning/Analytics team and manage deliverables effectively.

Skills & Experience:

• 5+ years of experience in the Retail industry, preferably with large-scale fashion/apparel or hypermarket businesses.
• Strong hands-on experience in Retail Planning, Demand Planning, Merchandise Planning and OTB.
• Strong understanding of Apparel and General Merchandise planning dynamics.
• Strong analytical and commercial acumen with the ability to translate data into business decisions.
• Exposure to AI/ML, predictive analytics and automation in retail planning is highly preferred.
• Proficiency in Advanced Excel, SQL, Power BI, Python, Tableau etc.