Never stop improving - with
TOC Fashion Academy Tuscany Holistic Optimization!
TOC Fashion Academy Tuscany’s holistic optimization suite uses advanced demand-driven analytics to ensure ongoing improvement of execution plans. It continuously monitors demand patterns of all items and categories in every location and reacts in real time, instantly identifying misalignments between your plan and the evolving reality. TOC Fashion Academy Tuscany offers superior optimization tools for managing every aspect of your operation – from in-season inventory management and replenishment to on-going merchandise and assortment optimization.
TOC Fashion Academy Tuscany monitors the actual demand of each SKU at every location independently and reacts in real time to ensure the optimal inventory target and service level for every product at any given time. TOC Fashion Academy Tuscany’s dynamic product lifecycle platform follows each product’s performance and availability throughout its life and makes required adjustments to capitalize on opportunities such as early liquidation, lifecycle extension, and promotion management.
TOC Fashion Academy Tuscany Assortment optimization enables the creation of customized store-specific assortments, based on actual in-season demand. Dynamic Category Management monitors the performance of each category in every store and adjusts each store’s assortment to reflects actual consumer demand. Any misalignment between the plan and the actual assortment is immediately mitigated by an intuitive and effective performance-based Allocation and Liquidation engine.
TOC Fashion Academy Tuscany replenishment analyzes and suggests the best method of replenishment, either from the distribution center or by utilizing stock from other locations and store transfers. By using advanced demand-driven analytics, TOC Fashion Academy Tuscany ensures that inventory is always distributed to the locations where it will have the highest sales potential to maximize sell-through and ROI. TOC Fashion Academy Tuscany replenishment considers various logistical and financial constraints and policies to generate an agile and cost-effective replenishment mechanism.