Artificial intelligence helps identify products that ne to be return, classify them according to their condition and send them to the right place.
Theartificial intelligence(AI) can improve the satisfaction of Mexicans in the case of returning products they buy online, experts agreed.
Benjamín Santa María, co-founder and CEO of Reversso , highlighted that returns on online purchases (known as reverse logistics ) could improve in the coming years.
“It is a great opportunity to improve repeat purchase rates and retain customers in the long term.
“Companies should have a flexible and open return policy for consumers, as this can lead to additional sales . ”
He emphasized.
Santa María explained that while the return rate in physical stores is 7%, on the Internet it can reach up to 20%.
“This is because consumers who
buy online cannot touch, test or measure the product before purchasing it.”
Said.
It has been identified that 81% of consumers make a return due to satisfaction issues, because the product was not what they expected, he added.
In recent years, eCommerce has belgium whatsapp number data Improved its reverse logistics to ensure that merchandise arrives at its destination in good condition.
They rely on technology such as AI to reduce the rate of returns, the manager argued.
AI helps with size prediction, improving success rates from the first sale and offering personalized attention.
Likewise, it supports the identification of products that must be returned, classifying them according to their condition and sending them to the appropriate place for processing, he explained.
“Over time, AI will improve personalization and the long-term relationship between customers and brands.
“Its application is new in the world
but it is increasingly used to understand consumer behavior . ”
He pointed out.
Susana Uribe, head of Seller Growth rank higher on google at Melonn. Said that AI is an opportunity for those who want to be more agile in reverse logistics.
Well, it allows you to make more informed decisions by analyzing large amounts of data on return patterns.
Categories such as fashion or cz lists shoes are the ones. With the highest number of returns, with 3 and 4%, and could benefit from AI.