01
Stop Promoting 'Fake Bestsellers' That Lose Money
Some top-revenue SKUs destroy profit once 30% return rates, return shipping fees and promo discounts are deducted. See true net contribution per SKU.
← All appsProfit-aware Merchandising Benefits
03 / BENEFITS & IMPACT · Operations & growth
What changes with Profit-aware Merchandising.
Some top-revenue SKUs destroy profit once 30% return rates, return shipping fees and promo discounts are deducted. See true net contribution per SKU.
Early access — concierge onboardingOUTCOME 01Cut ad spend on margin-negative SKUs
OUTCOME 02Feature high-contribution winners
OUTCOME 03Itemized contribution assumptions
Why operations teams switch to Profit-aware Merchandising
Bestseller lists and revenue-based ROAS hide high-return, heavy-discount or low-margin products that quietly erode profit. Profit-aware Merchandising replaces fragile manual checks with a repeatable, human-approved workflow built around your catalog and finance rules.
02
Uncover High-Margin Sleepers in Your Catalog
Identify products with strong repeat conversion, low return rates and healthy unit economics that are buried on page 3 of your collections.
03
Honest Cost Coverage Without False Precision
Where exact pick-pack or channel ad attribution isn't available yet, the model clearly labels estimated components so finance and trading stay aligned.
THE OPERATIONAL SHIFT
Before vs. after Profit-aware Merchandising
Without Profit-aware Merchandising · Manual status quo
Where your team loses hours
- Collection sorting and ad budgets follow gross revenue and platform ROAS, pushing high-return styles.
- Finance calculates true contribution margin only at category level weeks after the trading period ends.
- Merchandisers have no single view combining COGS, discount drag, return rates and collection visibility.
With Profit-aware Merchandising · Agreed workflow
How your workflow runs after onboarding
- Every SKU is ranked by true post-return, post-discount contribution dollars and margin percentage.
- Trading teams get weekly action lists: which SKUs to feature in collections, pull from paid ads or bundle.
- Exact vs. estimated cost inputs are explicitly badged on every line for complete financial clarity.
ILLUSTRATIVE SCENARIOS
Example edge cases for Profit-aware Merchandising
SCENARIO 01
Top-Grossing Dress With 38% Return Drag
The operational problem
A hero dress generated $42,000 in gross sales but netted near-zero contribution after return processing, restocking and promo codes.
Example outcome with Profit-aware Merchandising
Flagged as 'High revenue · low contribution after returns — Reduce push' so paid acquisition shifted to a 68%-margin knitwear line.
SCENARIO 02
High-Margin Accessory Buried in Collection Sort
The operational problem
A leather belt had a 74% contribution margin and 3% return rate but received less than 2% of collection impressions.
Example outcome with Profit-aware Merchandising
Surfaced in the 'Feature' bucket for top-of-collection placement and cart cross-sell pairing.
SCENARIO 03
Partial Fulfillment Cost Data Coverage
The operational problem
Exact 3PL pick-pack fees were known for domestic orders, while international shipping costs used weight-band estimates.
Example outcome with Profit-aware Merchandising
Explicitly badged Category A with 'Fulfillment cost estimated' so finance approved the model without delay.
Who benefits across your organisation
Merchandising, trading and growth leaders who want SKU-level contribution economics driving collection sorting and ad push.
See how Profit-aware Merchandising fits your store in one guided session. Start your onboarding request with no upfront charge.
MORE IN OPERATIONS & GROWTH
View all Operations & growth apps ↗
Pair Profit-aware Merchandising with related workflows
Return-to-Fix
Turn recurring return reasons into concrete PDP fixes.
✓ Fix high-return SKUs mid-season
B2B PO Intake
Convert wholesale PDF and spreadsheet POs into clean draft orders.
✓ Structured PO lines ready for review
Sell-through Merchandising Agent
Move seasonal and aging stock without defaulting to blanket markdowns.
✓ Exposure-first sell-through queue