Author: Matt Blevins Mar 10, 2020 5 Min READ

5 Ecommerce Returns Management Best Practices To Improve Efficiency

5 Min READ
5 Ecommerce Returns Management Best Practices To Improve Efficiency

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The burden of managing e-commerce returns is one of the most complex struggles in ecommerce when running an online store. Returns bog your team down with a lot of manual processes. They introduce friction to the e-commerce customer journey and they seriously mess with your business metrics.

But they’re also a natural part of a healthy D2C business. Our analyses show that around 30% to 40% of customers have made a return after their 3rd online shopping purchase with a brand. So instead of hiding from returns and wishing they’d just go away, smart retailers embrace them as another valuable touchpoint in the buyer’s journey.

You will never eliminate product returns, nor should you try to. Instead, you should take steps to ease the friction the shopper experiences, reduce bandwidth required from your customer service team, and leverage returns data to optimize your products and marketing materials.

 

What is returns management?

Returns management is a process in retail or ecommerce that works with customers who want to return a product after purchase. The returns management process involves interfacing with customers, collecting the returned items, and restocking them as inventory that has been returned.

Returns management is a key part of any retail business to get right as it can become a huge cost center when mismanaged.

With that in mind, let’s dive into five steps you can take to mitigate the business cost of manage returns while increasing your customer’s future lifetime value.

Improve Your Returns Policy To Reduce Costs

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Returns are estimated to cost US retailers over $500 billion in 2020. Ecommerce stores often neglect the costs of return shipping, physically processing returns, the costs associated with storing returned products, and the potential value lost if the products can’t be resold.

This is why prioritizing a returns management system can have a significant impact on your bottom line.

Additionally, there are immense environmental ramifications of returns. Around 5 billion pounds of returned goods wind up in landfills each year. MarketWatch reports returns shipping yields nearly 5 million metric tons of CO2 annually. And packaging waste is one of the most harmful by-products of ecommerce.

Retailers ultimately decide whether or not customers pay for returns shipping. Competitive pressure pushes many to offer free shipping when customers return products to ensure customer satisfaction. Some even opt to let the shopper keep the unwanted item all together.

It's pretty clear that ecommerce stores increase customer loyalty by allowing customers to return items. We’ve found that by extending their return window, retailers can decrease their return rate.

More liberal return policies tend to increase the customer’s likelihood to make a purchase. Once they have the item, the endowment effect kicks into gear and most customers don't go through with the hassle of the online returns process.

By reducing the perceived risk of buying, you may accomplish more than simply nudging purchases. You just can reduce your ecommerce return rate, as well.

Automate Returns Management To Save Time 

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Managing returns takes a lot of man hours. They quickly burden your team with manual processes and back-and-forth communication with shoppers.

The labor costs of receiving a return often far exceed those for fulfilling an order. The forward supply chain is relatively simple. Products are pulled off the shelf and shipped out.

But returns are hard because every return is different.

For each return that comes back the warehouse team must open the box, identify the product, grade the condition of the return, place the product in the appropriate bin, restock the inventory if applicable, and update the customer service team on the status of the return.

Meanwhile, your customer service team is busy managing tickets in Gorgias or Zendesk while also logging into Shopify and spreadsheets trying to keep shoppers updated on the status of their return. This is where inventory management software comes in handy to streamline the returns process.

A smart Shopify returns process automates some of the most intensive tasks, reducing the steps in the returns workflow. This results in a more efficient operation for the retailer and a better customer experience for the shopper.

One D2C brand saw their average time to process a return go from nearly two weeks down to just two days, after automating returns management for just a month.

Restock Returned Products ASAP To Improve Inventory Flow

The success of a retailer depends on inventory. Apparel products are rapidly depreciating in value over time, and the last thing you want at the end of the season is a pile of unsold merchandise.

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This is precisely why an effective order management system and proper reverse logistics are essential for ecommerce retailers.

When approximately 25% of products sold find their way back as returns, that pile can accumulate rapidly. And retailers have to move quickly to recover the value of products.

Quickly grading returns and restocking products back into inventory is crucial.

With every minute sitting in the warehouse, and each touch from a worker, that product is costing you money. Because of this, you may be exhausting as much as 10% of your sales revenue by repeatedly handling returned products.

This is even more significant when your sales are distributed through a variety of channels such as Amazon, eBay, Jet.com, as well as your own ecommerce website. Fully integrated multichannel inventory management makes all the difference.

 

But handling returns expediently isn’t just for the retailer – it’s good for the customer, too. For one retailer, 37% of customers repurchased after a return took 4 days to be processed. By 8 days, it was down to 12%.

Customers don’t want to wait long for their exchanges or refunds, and you don’t want to sit on returned merchandise. An efficient returns process champions both the customer experience and operational flow.

Reduce Return Rates with Better Product Positioning  

Returns data is a powerful tool to feed optimization efforts that can reduce your return rate in the future. General return reasons can quickly identify widespread quality issues, or if a product tends to skew larger or smaller than customers expect.

Combined with the open-ended feedback of return comments, you can swiftly spot points of concern, and then zoom in at the exact issues your customers are experiencing.

(This is a gif of filtering return comments into a word cloud.)

Information like this has helped numerous retailers to quickly identify precise product issues or website issues that are causing confusion. There is no brighter light on product issues than the direct voice of your customer.

Returns data is the fuel for improving your return rate, whether through product improvements, sizing corrections, or adjustments to your website. It is a wealth of actionable information that largely has yet to be harnessed.

Use Returns For Customer Retention 

Returns are indicative of the customer experience and can impact how likely a shopper is to purchase again in the future and their longer term lifetime value.

The cost of a return could be immaterial compared to the cost of losing a customer.

If a customer returns a product because it was too small, she probably just wants to get the next size up. If she returns a product because there was a quality issue, she might never shop with you again.

Each situation requires a different follow-up and engagement strategy.

In addition, you can use returns data to spot cases where customers order multiple sizes of the same product. This allows retailers to monitor those shoppers, but more importantly to look at what sizes they bought, and what sizes they returned.

Returns data can be leveraged to identify relationships among products, segment customers by their purchase patterns, and inform future initiatives and outreach.

Ultimately, the goal is to drive purchase velocity and increase order value.

Returns Management Is An Overlooked Opportunity

Returns are hard. They cost retailers billions of dollars annually and show no sign of slowing down. Mitigating these costs is key to survival. Done right, a good returns management process can build trust and customer loyalty.  

Smart retailers are approaching returns as an opportunity to improve their shopper experience, increase the efficiency of their operations, and optimize their marketing material to avoid future returns.

The key to staying on top of your returns is having an inventory management system like Extensiv to do the heavy lifting of automating the returns process for your team. By improving the process with technology, you can focus on growing your business instead of being bogged down with returns.

 

Ecommerce Returns Management FAQs

How do I manage ecommerce returns?

In order to manage your ecommerce returns, you’ll first need to have a returns policy. Then, make it accessible to customers and communicate the policy clearly. To ensure that your returns are being managed properly, set up a returns process and automate it.

How can ecommerce returns be reduced?

The key to reducing ecommerce returns is to ensure that the value of the product is communicated clearly to customers as they are purchasing an item. This means, high quality product photos and realistic descriptions in your product copy. The goal is for the purchased product to  meet the expectation of the buyer. 

What are average return rates for retailers?

The average return rate is 10% for in-store retailers, while the average return rate for ecommerce businesses is 20% on a regular basis and 30% during seasonal sales.

Written By:
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Matt Blevins

Matt Blevins is a Data Analyst at ReturnLogic. Matt leverage data to help retailers optimize their businesses and do what they love. I am fascinated by consumers, and want to help companies make better business decisions around customer behavior. Alumnus of Bloomingdales, Coach, Wharton Customer Analytics Initiative, and the University of Pennsylvania.

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