Sell-Through Looks Great Until the Returns Come Back
A style can post strong sell-through and still lose money once returns, restocking, and end-of-season markdowns land — and those costs show up weeks after the sale that looked like a win. Multiply that across hundreds of size-and-color variants and the picture a monthly close gives you is already wrong. Iris tracks style-level profit net of returns and markdowns, as it happens.
Profit Net of Returns, by Style and Size
A 20% return rate can turn a winning style into a loss, and returns cluster in specific sizes and colors. Iris nets returns, restocking, and freight against each variant so you see true earned margin, and spot the size curve that's quietly costing you every time it sells.
The style with the best sell-through can be the one bleeding the most on returns.
Earned margin by style and size, net of returns
Return and restocking costs allocated to the variant
The size-and-color curve that returns are concentrated in
Run the Season Off a Live Scorecard
A season is a set of bets placed months apart, and markdowns are where the plan quietly unravels. Iris tracks revenue and margin against your seasonal plan by collection and channel daily, so a soft drop or a deeper-than-planned markdown shows up while you can still move units at a better price. By the time markdowns hit the close, the pricing decision is already behind you.
Daily plan vs. actual by collection and channel
Markdown depth and cadence tracked against plan
Early signal on drops that are missing their sell-through
Full-Price Loyalists vs. Clearance-Only Shoppers
Two customers with the same order value aren't worth the same if one only ever buys on sale. Iris separates cohorts by channel and segment and by full-price versus discount behavior, so acquisition spend goes toward customers who buy at margin, not just customers who buy. A closet full of clearance buyers is revenue that never touches full margin.
Cohorts split by full-price vs. discount behavior
Repeat vs. one-time buyer margin by segment
Acquisition cost measured against the customers who return
Commit Seasonal Buys Before the Cash Arrives
Apparel places its biggest inventory bets a full season ahead of the revenue that pays for them. Iris ties each seasonal buy to a live cash forecast so you can commit to the range knowing exactly how deep the cash gap runs before sell-through closes it.
You're spending winter's cash on inventory that won't sell until summer.
Seasonal buys tied to a 13-week cash forecast
The pre-season cash gap sized before you commit
Vendor lead times and payment terms modeled per order
Built for Every Leader in Apparel
Style performance and sourcing costs move faster than a monthly close, and returns lag the sale that caused them. Iris gives each team the earned-margin read that seasonal decisions actually need.
For Founders & CEOs
See which styles help build and represent the brand after returns and markdowns, not before. Iris gives you earned margin by style and a live cash view for the buys that define each different season.
For Finance Directors
Close in hours across a deep variant catalog.Iris automates returns allocation and variance so your seasonal numbers reflect what was kept, not just what shipped.
For Merchandising and Marketing Leaders
Know the real return on markdowns, drops, and media by channel. Iris shows which moves lift lasting profit versus which just clear racks.
For Operations Leaders
Iris ties freight, returns, and restocking to each style so you catch the size curves and colors quietly draining margin before the next buy.
"I’m obsessed with Iris Finance . In a matter of a week, it went from "I'll try it out" to "How did I ever live without this?" Iris has become an essential tool in the stack at Allermi, giving me a crystal-clear, real-time read on our entire financial picture."
CEO, Allermi
“Having every single dollar accounted for on a daily basis is incredible — nothing like big red numbers to let you know when you lose money on the day.”
Founder, Ramp Health
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FAQ's
How does Iris calculate margin net of returns by style and size?
Can Iris track markdown performance against a seasonal plan?
How does Iris separate full-price loyalists from clearance buyers?
Can Iris track profitability across DTC, Amazon, and wholesale at once?
How quickly can an apparel brand get started with Iris?
See What Each Style Earns After Returns Closing
