From pain to profit: Optimizing store returns for the omni-channel era

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From pain to profit: Optimizing store returns for the omni-channel era

Consumers, accustomed to seamless experiences in their digital lives, demand the same level of fluidity in their shopping journeys. This expectation extends beyond the buy button to encompass a critical touchpoint: returns.

Latest NRF data suggests that 19.3% of online sales will be returned in 2025, totaling an outstanding $849.9 billion. Online return rates average 21% higher than overall rates and can reach up to 40% in industries like fashion.

Shoppers today expect friction-free interactions. 72% of consumers are more likely to shop with retailers that do not require a box or label for returns, leading to more online purchases and in-store returns.

Failing to meet these heightened expectations can be costly. High return rates directly impact profitability, while negative store return experiences can erode customer satisfaction and damage brand reputation. While return volumes increase, inventory velocity often lags. About half of retailers (49%) report that it takes 6–10 days to restock returned items, yet 19% say this timeline must accelerate to maintain margins.

Retailers cannot afford to let returns erode profitability. By adopting a strategic, data-driven approach to returns management, retailers can close this gap, transforming a potential logistical pain point into a driver of loyalty and growth.
 

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