Product Module Category: IRIS X

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.

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

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

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

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

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