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How to Drastically Reduce your E-commerce Returns with AI

Table of contents

E-commerce retailers face a persistent challenge: high return rates, often ranging from 12% to 15% of all shipped packages. Each return not only incurs an average cost of €12.50 but also strains logistics and impacts sustainability efforts. Artificial Intelligence (AI) offers innovative solutions to address this issue by aligning customer expectations with product realities, thereby enhancing operational efficiency and promoting sustainable practices.

1. Enhance Product Descriptions with AI-Generated Content

AI can analyse customer reviews, return data, and product specifications to generate detailed and accurate product descriptions. By providing comprehensive information, customers can make informed decisions, reducing the likelihood of returns due to unmet expectations.

2. Implement AI-Powered Size and Fit Recommendations

One of the leading causes of returns in fashion e-commerce is incorrect sizing. AI-driven tools can offer personalised size and fit recommendations by analysing customer data and preferences, thereby minimising size-related returns.

3.  AI-Driven Customer Reviews and Feedback Analysis

AI can identify patterns in return data, such as specific products or categories with high return rates. By understanding these patterns, retailers can take proactive measures, like adjusting product offerings or providing additional information, to mitigate future returns.

4. Deploy AI Chatbots for Pre-Purchase Customer Support

AI-powered chatbots can assist customers during the shopping process by answering queries and providing product information. This real-time support helps customers make better purchasing decisions, reducing the chances of returns due to misunderstandings or lack of information.

5. Leverage AI in Visual Search and Virtual Try-Ons

Integrating AI into visual search and virtual try-on features allows customers to better visualize products, especially in categories like apparel and accessories. This enhanced visualisation helps set accurate expectations, leading to a decrease in returns.

Conclusion

By integrating AI into various aspects of the e-commerce experience - from product descriptions to customer support - retailers can significantly reduce return rates. These technologies not only improve customer satisfaction but also contribute to more sustainable and cost-effective operations.

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