In 2025, retail returns remain a critical pain point, especially for online purchases, where rates often exceed 24%. Leading retailers and CX teams are leveraging digital interventions for personalized policies and operational efficiencies to mitigate negative impacts while enhancing experience and loyalty.
The goal? Transform retail product returns from incurring ‘costs’ to driving ‘competitive differentiation’.
According to a research report by ReturnPro on the state of consumer returns, eCommerce return rates are no longer just a cost of doing business; they are a critical factor shaping shopper behavior, loyalty, and brand trust. Findings reveal that he conversation around consumer returns has evolved from fine print into a defining pillar of retail strategy. Returns are no longer just a post-purchase formality but also influence other aspects such as shopping intent, brand loyalty, operational costs, and sustainability goals.
| 90% of consumers said a positive returns experience would impact their decision to shop with that retailer again. | 29% don’t believe returns cost retailers anything, and nearly half think brands break even on returned items. | 83% of consumers said that a retailer’s return policy would influence their decision to shop there. |
| – A report by ReturnPro | ||
The surge in product returns presents a significant challenge for the retail sector. With digital interventions and AI-driven solutions, retailers can transform the returns process into a seamless, personalized experience that not only mitigates losses but also enhances customer loyalty.
Managing serial returners with AI is crucial.
Digital Interventions: Streamlining the returns process
Retail executives surveyed by Deloitte in 2025 stated the rate of surge in the use of GenAI for shopping at 71%. Virtual product views and interactions help consumers make more informed choices and reduce the rate of returns.
AI-powered solutions in 2025 take even greater significance in ensuring a frictionless returns processes and preempting customer escalations. For example, take the case of AI fraud detection in eCommerce, where, AI systems analyze return patterns to flag potential fraudulent activities, enabling retailers to implement stricter controls where necessary.
- Conversational AI in retail customer support: Retailers are deploying AI-powered chatbots to handle routine inquiries, reducing response times and operational costs. These chatbots enhance customer satisfaction by providing instant support and guiding customers through the returns process.
- Predictive analytics for retail returns: By analyzing customer data, retailers can anticipate return behaviors and implement proactive measures. This includes identifying patterns leading to returns, allowing for product or service adjustments
Agentic AI and GenAI come to the fore in orchestrating creative personalized returns experience and executional efficiency.
Equipped with insight extraction capabilities across every friction point in the returns processes, retailers have a unique window of opportunity to optimize the return experience. Plugging the gaps delivers a seamless, hassle-free returns process, brands can not only win customer trust but also turn returns into a powerful driver of loyalty and repeat purchases.
The creative era of personalization
Using Generative AI in customer service automation is transforming the way retailers interact with customers during the returns journey. From auto-generating personalized return instructions to crafting empathetic email and chatbot responses, generative models enable hyper-relevant, human-like communication. This creates a smoother experience that feels tailored to the customer’s individual situation, reducing frustration and increasing brand trust.
Agentic AI in retail can orchestrate end-to-end return workflows. These agents can autonomously initiate returns, book logistics pickups, update inventory, issue refunds, and even notify warehouse teams. The result is a highly automated and intelligent returns process that reduces human error, speeds up resolution, and provides real-time transparency to customers.
By combining the creative personalization of Generative AI with the executional efficiency of Agentic AI, retailers are moving towards a fully autonomous, adaptive returns ecosystem.
Retail brands & CX leaders respond to the challenge
Here’s a look at how brands are facing the challenge head-on in 2025
1. Smarter reverse logistics
- AI-powered fraud prevention and returnless refund models are emerging to reduce operational costs and customer friction.
- ReCommerce, refurbishment, and resale services are being integrated to turn returns from liabilities into revenue opportunities.
2. Incentive programs and personalization
- Retailers increasingly tailor returns policies based on customer behavior, while offering perks for low-return histories to build goodwill and reduce abuse.
- According to an article in Vogue Business, the lifetime bans and return fees are being deployed by some brands to manage serial returners, especially in fast fashion segments, though often controversial.
3. Haul culture returns management
- Retailers are introducing inferences about the environmental impact of returns; they’re experimenting with return fees, aimed at curtailing wasteful behaviors linked to social media-driven ‘haul culture’ or mindset.
4. Streamlining returns for CX uplift
- Efforts are underway to automate returns logistics, enhance transparency, and speed up refunds—even adopting AI agents to simplify the experience and reduce customer friction.
5. Amplifying awareness of the cost of returns
- According to a news release by Business Wire, a majority of consumers are unaware of the high cost of returns; around 29% believe returns cost nothing, and nearly 50% think brands break even on them.
As the battle of the brands for the consumer’s mindshare continues, the infusion of evolving AI advancements in returns management will likely redefine customer loyalty and keep customers coming back for more. Movate orchestrates frictionless customer returns processes via AI-led digital interventions for some of the big names in retail. Contact us.
References
- Movate’s Virtual Try-On solution for a top brand – Movate
- https://www.businesswire.com/news/home/20250416288281/en/ReturnPro-Publishes-The-State-of-Consumer-Returns-2025-Report?utm_source=chatgpt.com
- https://www.voguebusiness.com/story/consumers/haul-culture-is-fuelling-returns-what-can-brands-do?utm_source=chatgpt.com
- https://www.returnpro.com/resources/blog/the-2025-insiders-guide-to-retail-returns-what-you-need-to-know?utm_source=chatgpt.com