Reimagine merchandise planning, buying, and distribution with Iris M. Experience consistent revenue uplifts like never before!
Realize true demand potential across offline and online sales channels by allocating the right inventory closer to your customers.
Built for small and medium B2B and B2C retailers, Iris M, a web-based, self-serve SaaS tool consisting of patent-pending algorithms, performs millions of computations within a few minutes of runtime.
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Regular feature updates ensure steady high performance of this innovative plug-&-play model to deliver astounding results.
Increase in inventory turns
Improvement in bottom line and margins
Cutback in inventory holding
Growth in full price sell-through
Savings in logistics cost
Boost in fulfillment from the local warehouse
Reduction in resource time spent in stock allocation and buying process
Reduction in stock brokenness
Our innovative merchandising, planning, distributing, and reporting solution helps tackle industry-related challenges with a clear, simplified, and detailed execution plan.
Considering fashion-specific factors like seasonality, local demographic, product attributes, discounting, etc. Iris M, an end-to-end algorithmic platform, helps merchandisers optimize inventory positioning and maximize sales at all online and offline POS channels. It helps:
To maintain size continuity at stores, IRIS takes inputs from the smart assortment plan, assesses business constraints of planogram and revenue targets, and provide buyers with a month-wise buy plan that includes:
A novel solution to intelligently split inventory across multiple warehouses, in proportion to the regional demand, for efficient e-commerce fulfillment.
Expose the right inventory, at the right location, at the right time. Ease merchandiser’s frequent distribution activities in a data-driven manner, using the latest sales trends to:
Easily implement IRIS outputs which are illustrated via interactive and impactful reports that are categorized by roles and departments.
A unique feature for B2B and B2C brands to track what got returned, in how much quantity, when and why did it return?
|Primary Engagement Tool|
|For Large/ Medium businesses||For Small/ Medium businesses|
|Browser based||Browser based|
|Automated integration of Data||Standalone system, no integration|
|SaaS+ Unique Software-as-a-Service “Plus” delivery model provides dedicated merchandising experts||SaaS Software as a Service self usable model with on-demand support for usage issues|
|Performs billions of computations within hours of runtime||Performs millions of computations within minutes of runtime|
|Uses patent-pending machine algorithms developed over 3 years of R&D||Uses patent pending machine algorithms developed over 3 years of R&D|
|Smart Assortment Plan|
|Discount Cleanup Identify and discard highly discounted sales that distort true demand||Yes||Yes|
|NOOS Never Out of Stock products||Bestseller – Identifies bestsellers for a selected period Core – Identifies cores as well which are bestsellers with more consistency in sales||Bestseller – Identifies bestsellers for a selected period|
|Product Attribute Group An attribute group represents a set of attributes that a customer uses to make a purchase decision. All analysis is done on attribute groups of products. E.g. Brand – Shirt – Casual – Male – 100 to 200 USD||Handles 17 levels of attributes||Handles 7 levels of attributes|
|Options How many options to have in each attribute group||Calculates options by correcting for longtail at store-attribute group level||Not available|
|Depth Mix of inventory at a store across all categories & attributes||True demand identified at the store-attribute group level by analyzing past sales, revenue, discounts, size cuts, stock-outs, and exposure.||True demand identified at store-attribute group level by analyzing past sales, revenue, discounts, size cuts, stock-outs, and exposure.|
|Size Set Ratio True demand at size level for all store & attribute group combinations||Size continuity is maintained (e.g. S, M, L, XL, XXL)||Size continuity is maintained (e.g. S, M, L, XL, XXL)|
|Different size set ratios are predicted for all store-attribute group combinations||Different size set ratios are predicted for all store-attribute group combinations|
|Pivotal sizes (i.e. most important sizes) predicted for each store||Not available|
|Demand Forecasting||Depending upon AOP (Annual Operating Plan), forecasts the quantity, options and size-sets for each month-store-attribute group combination. Considering recency, seasonality, events and inventory live days.||Depending upon AOP (Annual Operating Plan), forecasts the quantity and size-sets for each month-store-attribute group combination Consdering recency, seasonality, events and availability|
|Open To Buy (OTB)||Provides actual procurement orders to be made based on Demand Planning, Depletion, Returns and other considerations like Lead Time and MoQ||Not available|
|Methodology||Proprietary store-style ranking to optimize inventory distribution||Proprietary store-style ranking to optimize inventory distribution|
|New Season Allocation||Yes||Yes|
|In-season Replenishment||Replenishes stores based on size continuity||Replenishes stores based on size continuity|
|In-season Replacement||Finds replacement style from attribute group if direct style replenishment cannot be done||Finds replacement style from attribute group if direct style replenishment cannot be done|
|ARS- Automated Replenishment System||Yes||Not Available|
|Size-wise Display||Yes||Not Available|
|Collection/ Story-wise Display||Yes||Not Available|
|Dead Inventory Pullback||Identifies non-moving dead styles in stores and suggests them for pullback to warehouse||Identifies non-moving dead styles in stores. Pullback suggestions not available|
|Access current buying patterns and local preferences to distribute stock between stores for optimum sales||Yes||Not Available|
|Intelligently split inventory across multiple warehouses, in proportion to the regional demand, for efficient e-commerce fulfillment.||Not Available||Yes|
|For B2B and B2C brands to track what piece returned, in how much quantity, when and the reason for return||Not Available||Yes|
|Dynamic Discounting & Pricing|
|Basis a style’s ongoing performance and stock status, determine if it is an outperformer and should be re-ordered, or if the current discount should be increased or decreased.||Yes||Not Available|
|Merchandising Reports – Style performance, Stock v/s Sales, STR/Discount v/s ROS, DoH, Planogram Adherence, Top/Dead sellers, Attribute performance||Merchandising Reports – STR, Sales Velocity, DoH, Top/Dead sellers, Planogram Adherence|
|Operational Reports – Target v/s Achievement, Week on Week performance, Sales per SqFt, Flexible time period comparisons||Operational Reports – Target v/s Achievement, Month on month performance, Returns Analysis, Online Analysis|
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