Converting returns
into revenues for

Our AI-based algorithm provides personalised alternatives to product returns.

How it works?

E-commerce return rates have grown by 95% over the past 5 years, incurring excessive costs for shops, causing inconvenience for shoppers and devastating greenhouse emissions.

We are on a mission to reduce avoidable returns and convert unavertable returns into new revenues.

66% of customers think returns are the worst part of the shopping experience.

Current lack of return options means that a wasteful and costly return is the only path offered.

A positive return experience reduces hassle, creates affinity with your shop, and avoids losing costly-to-acquire customers.

Exonode leads your business to:

Reduce return rates by 20%

lowering related costs and increasing profitability for your store.

Retain revenue of 15%

otherwise lost through returns or spent at the competition.

Generate loyalty

Through better customer experiences, keeping customers coming back and increasing CLV.

How Does it Work?

01

Based on the shopper’s past behavior and your specific economics, our algorithm determines the return options that are most profitable for your shop.

02

The shopper always gets the choice of taking the deal or sticking to the regular return policy of the shop.

03

Exonode minimizes the risk of exploitation by identifying suspicious customer behavioral patterns. This is performed by employing machine learning models that are based on a large number of purchase and return datapoints.

The Exonode Engine

Purchase

Delivery

Customer return request

Our custom machine learning algorithm first selects customers that have a high probability of benefiting from alternatives to the classical product return option on the basis of e-commerce return and purchase histories.

Each customer is vetted individually for past fraudulent behavior and price sensitivity by detecting conspicuous behavioral patterns. Detection is performed with a neural network architecture specifically developed for this purpose.

Finally, offers are selected that will both maximize the benefit for the Ecommerce shop and the individual customer. Offers are continuously customized for the specific customer and the specific return request based on return processing costs and customer profile.

Keep at discount

Return for credit

Other benefits

Purchase

Delivery

Customer return request

Standard product return

Transport back

Verification or disposal

Our custom machine learning algorithm first selects customers that have a high probability of benefitting from alternatives to the classical product return option on the basis of return and purchase histories and using advanced customer segmentation.

Each customer is vetted individually for past fraudulent behavior and price sensitivity by detecting conspicuous behavioral patterns. Detection is performed with a neural network architecture specifically developed for this purpose.

Keep for Compensation

Return for credit

Other benefits

Finally, return options are selected that will both maximize the benefit for your shop and your individual customers. These options are customized for the specific customer and the specific return request based on return processing costs, customer profile and various other datapoints.

Learn from Returns

Returns offer a wealth of information, but often they simply turn up at a warehouse, with limited data captured.

Exonode does not just improve return profitability. We create a picture of your returns, enhanced through our dynamic return options, that gives you a fuller understanding of your customers, pricing and product.

Allow us to show how your business can be more profitable with Exonode

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