Financial and product aspects of assortments and categories take precedence with some regard for microspace constraints, but only with subsequent (secondary) regard for macrospace allocation, landed cost on the shelf, and life-cycle pricing and promotion tactics, with capital allocation made within, and not across, categories and in-store range and investment localization disconnected from online endless aisle strategies.
Goals and Objectives
Assortments and categories are managed as life-cycle portfolios of multifaceted offers inclusive of product, price, promotion, placement, sustainability, and proximity attributes based on unified endless aisles across stores and digital channels and aware of the market saturation of competitors’ offers. Customer buying propensities (attributes, localization, and landed cost of supply) influence space and assortment decisions.
Cloud, industry cloud, prescriptive trade-off analytics, visual AI, IoT, and predictive personality insights; reasoning through market and competitive content; multicloud management; and network/autonomous network infrastructure
Use Case Summary
Assortment optimization transforms merchandise assortment planning, buying, pricing, and allocation to a continuous optimization of merchandise and demand generation investment portfolio.