Product Module Category: IRIS

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:

• Identify top sellers and NOOS
• Perform computations to the granularity of 7 attributes for ideal decision making
• Accurately predict the true size ratios
• Analyze and discard highly discounted sales that distort true demand

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:

• Maintain freshness through new season allocation 
• Optimize existing stock through replenishment and replacement at all POS
• Improve inventory health to reduce the loss of sales due to unavailability
• Identify non-moving dead styles

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:

• Depth of buy basis rate of sales at the store-attribute group level by analyzing past sales, revenue, discounts, size-cuts, stock-outs, and exposure. 
• Size set ratios to buy based on true demand at size-level for all store & attribute group combinations. 

A novel solution to intelligently split inventory across multiple warehouses, in proportion to the regional demand, for efficient e-commerce fulfillment.

• Achieve higher regional utilization for better visibility and higher conversion on Marketplaces
• Attain higher brand ranking on marketplaces
• Earn significant savings on logistics costs
• Manage faster deliveries
• Lower Rate of returns

Easily implement IRIS outputs which are illustrated via interactive and impactful reports that are categorized by roles and departments.

• Business overview for executives
• Category performance reports for merchandisers (Sell-through-rate, Sales, DoH, Top/Dead sellers, Planogram Adherence)
• Target v/s Achievement, month-on-month store performance reports for operations
• Design dashboards for buyers

A unique feature for B2B and B2C brands to track what got returned, in how much quantity, when and why did it return?

• Being more conscientious of consumer behavior can help mitigate the risk of both returns and chargebacks. 
• Brands can use these reports to create detection and prevention strategies that can positively impact their bottom line. 
• The design team can extract insights on what not to produce