Smart Assortment Plan

Enable merchandisers and planners to optimize inventory mix with computational power to go up to a granularity of design level attributes of styles.

  • Identify NOOS- top sellers/ best sellers and core styles with persistent sales for a longer period of time
  • Perform computations up to 17 levels of product attributes for ideal decision making
  • Better forecast across stores basis true rate of sales at the store-attribute group level by analyzing past sales, revenue, discounts, size-cuts, stock-outs, and exposure.
  • Identify and discard highly discounted sales that distort true demand
  • Achieve higher revenue and margins by identifying true style level store demand and maintain continuity of pivotal sizes in each store. 
  • Lower inventory cost by correcting long-tail styles at the store-attribute group level.

Optimal Store Allocation

Take advantage of this highly advanced and automated solution that generates a dynamic store-style ranking to optimize inventory distribution through:

  • Fresh/ New season allocation
  • Size-wise and collection/story-wise displays
  • Event-based allocation
  • Automated replenishment and replacement system. 
  • Identifying non-moving dead styles in stores and suggesting pullback to warehouse

Inter-store transfers

Prevent extra buying and utilize inventory redistribution between stores to:

  • Improve stock health
  • Reduce stockouts at SKU level
  • Improve omnichannel exposure by leveraging excess stock. 
  • Optimize stock cover across stores

Open To Buy

Maintain freshness throughout the season by creating an appropriate mix of inventory in the right levels with high availability as per the local demand.

  • Automate store-style level buy across drops
  • Determine actual procurement order based on Demand Planning, Depletion, Returns, and other considerations like lead time and MoQ, to find the opening inventory at the start of the OTB period
  • Predict daily ROS at an attribute group level

Dynamic Discounting and Pricing

Basis a style’s on-going performance and stock-status, the smart algorithm recommends if it is an outperformer and should be re-ordered, or if the current discount should be increased or decreased, basis:

  • Price elasticity and brand-category level guardrails for discounting and reordering
  • True ROS ™ of healthy size-set, when compared to others
  • Current discounting
  • Ageing of style
  • The present health of the style

Business Intellligence

Offers a wide range of dashboards to review business performance and take focused action.

  • Business overview for executives
  • Category performance reports for merchandisers (Sell-through-rate, sales  Velocity, DoH, Top/Dead sellers, Planogram Adherence, Style Performance, Stock v/s style, Discount v/s ROS).
  • Target v/s Achievement of revenue, week-on-week store performance, and Sales per SqFt. reports for operations
  • Design dashboards for buyers
  • Analytics ranging from a store manager to the CEO