Buying & Merchandising
Range architecture, assortment planning, pricing, margins, sell-through, replenishment and inventory health.
Across more than three decades in textiles, fashion retail, sourcing, ecommerce, teaching and research, I have worked to turn deep domain knowledge into practical systems, stronger decisions and enduring value.
I build bridges between craft and commerce, heritage and technology, intuition and analytics.
I currently head Buying and Merchandising for Avantra and Kalanikethan at Reliance Retail. My journey spans textile manufacturing, teaching, product development, sourcing, ecommerce, entrepreneurship, category management and business analytics.
I work at the intersection of product, consumer, supplier and data.
Range architecture, assortment planning, pricing, margins, sell-through, replenishment and inventory health.
Regional textile identities, construction, motifs, borders, pallus, fabrics, dyeing and craft context.
Vendor development, cluster sourcing, negotiation, quality specifications and supplier partnerships.
Customer, conversion, pricing, inventory, returns, search and digital merchandising analysis.
Python, machine learning, deep learning, forecasting, optimisation and decision systems.
Textile education, professional writing, books, blogs and practical learning resources.
Manufacturing discipline, teaching clarity, sourcing judgement, ecommerce experimentation, retail leadership and data-driven research.
Leading buying and merchandising across two major saree retail formats.
Private labels, sourcing, portfolio management, inventory and retail analytics.
Category management and development of the Indie proposition for Indian textile crafts.
Arvind Mills, textile teaching, Fabindia, Pantaloons, Utsav Fashion and entrepreneurship.
My education brings together textiles, fashion management, computing and business analytics—the four disciplines that shape my professional and research approach.
Executive Programme, Indian Institute of Management Bangalore
National Institute of Fashion Technology, New Delhi
Guru Jambheshwar University, Hisar
Technological Institute of Textiles, Bhiwani
My part-time doctoral research at CHRIST University examines how visual AI and graph-based reasoning can identify regional saree provenance.
My work combines deep visual models, textile-domain knowledge and relational learning for reliable and explainable classification.
My work combines applied business analytics with textile-domain knowledge and practical resources for learners and professionals.
The case examines how machine-learning models can improve customer targeting, sample selection and B2B sales effectiveness in a heritage carpet enterprise.
View the official case →A practical reference on Indian saree traditions and merchandising.
Core concepts in fabric construction for students and professionals.
Essential dyeing knowledge for merchandisers and textile learners.
I welcome professional and academic conversations relating to textile knowledge, buying and merchandising, retail strategy, analytics and AI.