IRIS is an intelligent merchandise planning, buying and distribution platform that
delivers 4-6 inventory turns resulting
in 20-25% revenue improvement and 4-5% margin improvement.

Four Modules of IRIS

SMART ASSORTMENT PLAN

Achieve higher conversion &
improve customer experience

NOOS (Never-out-of-stock styles) Identification

Identifies products that have higher & consistent sell throughs at lower discount rate

Product Clustering

Predicts demand at the right granularity by creating product clusters based on as many as 22 attributes

Optimum Width

Identifies the right number of options for each product clusters across all sales points

Optimum Depth

Predicts the right depth of each cluster at each store correcting for the past exposure and liquidation

True Size Set Ratio

Identifies true size-set ratio for each cluster, across all sales points

IDEAL BUY PLAN

Suggest buying to ensure assortment
plan is met at each store at all times

IDEAL BUY PLAN

Suggest buying to ensure assortment
plan is met at each store at all times

Current Inventory

Incorporates current inventory across all stores/warehouses and pipeline inventory

Minimum Order Quantity
(MOQ) & Lead Time

Incorporates vendor level Minimum Order Quantity (MOQ), Lead Time and Fill Rate

True Depletion
Rate

Predicts future inventory depletion rate by predicting true Rate of Sale (RoS) adjusting for brokenness

Optimal Store Allocation

Ensures every piece of inventory
reaches its best destination

First Allocation

Allocation of fresh stock based on historical performance of similar styles

Replenishment/
Replacement

Predicts stockouts and automate replenishment or replacement, ensures adequate freshness and non-brokenness

Inter-store
Transfer

Suggests movement of stock from over-stocked stores to under-stocked ones to maximize conversion and minimize stock-outs

New store
Allocation

Creates DNA of the new store by combining DNA of all similar stores

ACTIONABLE BUSINESS
INSIGHTS

Monitor KPIs in real time and reduce
the reaction time to market changes

ACTIONABLE BUSINESS
INSIGHTS

Monitor KPIs in real time and reduce
the reaction time to market changes

Comprehensive Set of Reports

A suite of dashboards catering to multiple levels of stakeholders – from CXOs to Planners to Merchandisers to Analysts

Slice and Dice

Interactive reports with drill-down feature until the right granularity to assist in quick decision making

Plug and Play

Can be easily customized for any Fashion brand/retailer

WHY IRIS

End To End Merchandise Planning Tool

End To End Merchandise Planning Tool

  • Smart assortment plan
  • Ideal buy plan
  • Optimal store allocation
  • Actionable business insights

No Clustering Of Stores

No Clustering Of Stores

  • Each store as unique sales point

Billions Of Computations

Billions Of Computations

  • Billions of computations to predict accurate results

Intelligent Solution

Intelligent Solution

  • 300 + algorithm
  • Dynamic and self- learning
  • Real time

Fashion Focussed

Fashion Focussed

  • Product clustering
  • Accomodates business constraints like seasonality, visual merchandising, etc
  • Filter noise data for true demand prediction
  • Store- style ranking

Handles Granular Data

Handles Granular Data

  • Daily inventory snapshot
  • Daily sales snapshot
  • Product attributes up to 22 layers

Value Delivered

  • One of the largest online Lingerie Brands in IndiaOne of the largest online Lingerie Brands in India

    One of the largest online Lingerie Brands in India

    Reduced inventory holding from >120 days to 80 days

    Increased revenue by 25% with 4% improvement in margin

  • One of the largest Celebrity Brands in IndiaOne of the largest Celebrity Brands in India

    One of the largest Celebrity Brands in India

    40% correction in buy plan for a season

    Increased full-price sell-through rate by 13% leading to 4% higher margin

  • One of the largest Women’s Wear Brand in IndiaOne of the largest Women’s Wear Brand in India

    One of the largest Women’s Wear Brand in India

    24% growth in In-Season Revenue with discount reduction of 3%

    Reduction in brokenness (stock out of key sizes) by 6%