Understanding the costs in reverse logistics

Last update: June 17, 2026

In this blog:

1. What is reverse logistics?
2. Where reverse logistics costs land
3. How to reduce reverse logistics costs
4. Further reading: Reverse logistics FAQs

What is reverse logistics?

Reverse logistics is the flow of goods back from the customer: returns, repairs, recycling, reuse, and disposal. It runs in the opposite direction to normal fulfillment, and the aim is to recover as much value as possible from each item that comes back.

Handled well, managing returned goods protects margin and gives customers a reason to buy again. The cost of handling them shows up in four areas.

Where reverse logistics costs land

The costs of reverse logistics fall into four areas:

1. Transportation

Moving returned products back from the customer to the warehouse or manufacturer is usually the single biggest line. According to Deloitte, transportation can account for up to 60% of the total cost of reverse logistics.

2. Processing

Each item has to be inspected, tested, sorted, and repackaged before anyone knows what to do with it. A report by Statista found that processing costs can range from $10 to $40 per returned item.

3. Restocking

Getting an item back into sellable condition can mean refurbishing, repackaging, and relabeling, all before it earns revenue again.

4. Disposal

Items that cannot be resold go to recycling, scrapping, or landfill, with fees attached and the lost sale on top.

How to reduce reverse logistics costs

Most of the cost is set before the parcel ships back, in the product page, the returns flow, and how stock is planned. These changes target the biggest sources:

1. Make product pages match what arrives

   Many returns happen when the delivered item differs from the photos and description in the web shop. Analysis of returns data shows which product pages drive the most returns, so you can fix the listings that cause them.

2. Make returns easy through one system

   A single, self-service returns flow cuts the time and labor in each return and gives you clean data on why items come back.

3. Plan inventory to cut the returns it causes

   Sharper demand and stock planning reduces the overstocks and stockouts that lead to returns. According to Accenture, this can reduce costs by up to 30%.

4. Use returns data to find the patterns

   Tracking return reasons and trends shows where to act first. According to Gartner, using data analytics to identify trends and patterns can reduce costs by up to 10%.

5. Build returns into a circular model

   Reusing, refurbishing, and reselling returned stock recovers value and lowers input costs, and it is where reverse logistics is heading. McKinsey has found that a circular economy model can cut costs by up to 50%.

When the returns process is automated and built around the customer, it stops being pure cost. nShift's Returns solution turns as much as 30% of returns into exchanges, so the sale stays with you and the customer has a reason to come back.

Author

Jyo Saikia

Product Specialist Director, nShift

With extensive experience in logistics, supply chain, and IT SaaS, Jyo specializes in helping businesses optimize operations and achieve sustained success. His deep industry knowledge enables him to craft innovative strategies that deliver tangible results, ensuring customers gain a competitive edge.