IRIS Enterprise

IRIS has 4 modules

Smart Assortment Plan

• Identifies styles providing high revenue at low discount to avoid stock-outs of NOOS
• Creates style clusters based on attributes and predicts demand of these clusters at different stores at optimum granularity, neither too high neither too low
• Optimizes no. of styles to maximize customer conversion for each store
• Predicts right depth to avoid understocking and overstocking for each store at style cluster combination
• Forecast true size set ratios to minimize size cuts for each style cluster combination

Ideal Buy Plan

• IRIS predicts true depletion of current inventory basis changes in demand pattern, AOP and brokenness to arrive at the closing inventory for buy plan
• IRIS considers inventory present in stores as well as warehouse before creating buy plan
• Accommodates differentiated lead time for different product clusters and different sourcing locations

Optimal Store Allocation

• Fresh Merchandise Allocation: Allocates new season stock basis cluster performance
• Suggests dynamic replenishment of same/similar styles basis performance to reduce stock-outs
• Suggests movement of stock from over-stocked stores to under-stocked ones to maximize conversion and minimize stock-outs
• Creates DNA of the new store by combining DNA of all similar stores

Business Intelligence

• Actionable dashboards for all stakeholders, right from store manager till CEO, to review business performance.