Role Description A Buying & Sourcing for Apparels category at DMart is responsible for selecting, sourcing & managing the product selection within a specific category in an apparel retail environment. This includes identifying trends, negotiating with vendors, managing inventory & driving sales and profitability.
Key Responsibilities
Vendor Management: The role holder will be responsible for sourcing and onboarding new vendors, managing relationship with existing vendors and negotiating price and terms Product Selection and Sourcing: Identifying new products, trends, and potential vendors within the apparels category Buying and Ordering: Placing purchase orders, managing inventory levels, and ensuring timely delivery of goods Inventory Management: Monitoring stock levels, optimizing inventory turnover, and minimizing slow-moving or obsolete items. Market Analysis: Conducting market research, competitor analysis, and staying updated on industry trends Sales and Profitability: Analyzing sales data, identifying opportunities for growth,
and developing strategies to maximize sales and profit margins. Cross-functional Collaboration: Working with other teams such as integration and replenishment, design, visual merchandising, quality, supply chain to ensure the successful execution of category strategies. Skills and Qualifications
Education:
A Bachelor's degree in fashion, Retail Management, Marketing, or a related field is generally preferred.
Experience:
7-12 years of proven experience in retail or wholesale buying, particularly within the apparel sector i.e Men, Women, Kids, accessories, ethnic category are preferred Core
Skills:
- Robust negotiation and communication skills.
- Excellent analytical and data analysis abilities (including proficiency in tools like Microsoft Excel and SAP).
- Understanding of inventory management, supply chain processes, and vendor relationships. Involves travel to stores and vendor locations Location DMart Thane Head Office
📌 Buying / Sourcing For Garments Dept (Mumbai)
🏢 Dmart
📍 Mumbai