What is the average return rate for e-commerce?

Average return rates vary by category: Apparel and footwear 20-30%, Electronics 5-10%, Home goods 10-15%, Beauty and cosmetics 5-8%, General retail 10-15%. The tool includes these benchmarks for comparison.

How do restocking fees affect return rates?

Restocking fees of 10-15% typically reduce return rates by 15-25% because customers think twice before returning. However, fees above 20% can hurt conversion rates at checkout. The simulator lets you model this trade-off.

What percentage of returned items can be resold?

Typically 70-85% of returned items can be resold as new or open-box. 10-20% must be liquidated at 30-50% of cost, and 5-10% are damaged or fraudulent and must be trashed. These rates vary significantly by product category.

E-commerce Return Cost Calculator (Cost & Policy)

💰 Reverse Logistics Intelligence

ReturnLoop: Return Cost & Policy Simulator

Calculate the true cost of e-commerce returns under different policies. Find the restocking fee, return window, and grading workflow that maximizes your profit.

📦 Product Economics

Industry Category sets benchmarks

Average Order Value (AOV)

Product Cost (COGS)

Outbound Shipping Cost

Monthly Orders

🔄 Return Policy

Return Rate benchmark: 15%

15%

Return Shipping (who pays?)

Restocking Fee

Return Window (days)

30d

🏷️ Grading Workflow

Resold as New/Open-Box benchmark: 75%

75%

Liquidated (at 40% of COGS) benchmark: 18%

18%

Trashed / Fraudulent benchmark: 7%

Processing Cost per Return

📊 Industry Benchmarks

Profitability Dashboard

Profit Impact by Policy Lever

Cost Breakdown per Returned Item

Policy Scenarios Comparison

Why Most E-commerce Brands Lose Money on Returns

The average e-commerce brand treats returns as a cost of doing business and rarely models their true impact. But when you factor in return shipping, processing labor, liquidation losses, and fraudulent returns, the effective cost per return often exceeds the original profit margin. A $85 order with a $25 COGS might only profit $20 after shipping — but a single return can cost $35-50 to process, wiping out the profit from 2-3 successful orders.

How This Simulator Works

ReturnLoop uses deterministic financial modeling based on real e-commerce unit economics. For every order, it calculates:

Base profit: AOV minus COGS minus outbound shipping.
Return cost: The probability-weighted cost of a return, including return shipping, processing labor, restocking fees (revenue), and the loss from items that must be liquidated or trashed.
Net profit per order: Base profit minus (return rate × return cost).
Annual impact: Scaled to your monthly order volume to show total profit and total return cost.

The simulator also models how policy changes affect return rates. A 15% restocking fee typically reduces returns by 15-25%, while shortening the return window from 60 to 30 days reduces returns by 10-15%. These elasticity estimates are based on published e-commerce research.

The Grading Workflow That Saves Money

The single biggest lever in return profitability is your grading workflow — what happens to an item after it comes back. Items graded and resold as "open-box" recover 80-95% of their value. Items sent to liquidation recover only 30-50% of COGS. Items that are trashed or identified as fraudulent recover nothing. Investing in faster, more accurate grading (even manual inspection) typically pays for itself within weeks by shifting items from the "liquidated" bucket to the "resold" bucket.

Reading the Policy Scenarios

The comparison table shows four common policy configurations side-by-side: Generous (free returns, 60-day window, no fee), Balanced (partial return shipping, 30 days, small fee), Strict (customer pays shipping, 14 days, 15% fee), and Your Custom policy. Each scenario adjusts the return rate based on published elasticity data, so you can see the real profit trade-off between customer experience and margin protection.