Product Module Category: IRIS

Optimize inventory positioning to maximize sales. Considers factors like seasonality, local demographic, product attributes, discounting, etc. to:

• Identify top seIdentify 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

Maintain size continuity at stores by assessing business constraints of planogram and revenue targets, to 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. 

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 greater conversion
• Boost brand ranking on marketplaces
• Earn significant savings on logistics costs
• Manage faster deliveries
• Lower Rate of Returns

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
• Identify non-moving dead styles

Easily, implementable outputs, 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

Track returns quantities for B2B & B2C sales. Conduct analysis to understand the reason for return.

• Be conscientious of consumer behavior to mitigate the risk of both returns and chargebacks
• Use the reports to create detection and prevention strategies to positively impact the bottom line
• Extract insights on what not to produce