AI overcoming reverse logistics challenges
Emerging technologies like AI , machine learning ( ML ) and automation are transforming reverse logistics and supply chain management , reshaping how businesses handle returns , optimising efficiency and driving sustainability .
Helen highlights the technological potential , revealing that Asendia Global Returns “ keeps a close eye on developments ”. She points to AI ’ s capacity to optimise reverse logistics through automated tasks and real-time data insights .
Helen focuses on AI ’ s pre-purchase potential : “ AI ’ s greatest potential in returns lies in helping customers select the right thing in the first place .” She proposes that generative AI could recommend personalised alternatives that dramatically reduce return rates .
Kristen expands on this theme by demonstrating AI ’ s strategic applications .
“ By using ML and AI , we can predict the cheapest labels , most efficient shipping routes and inventory balancing ,” she explains .
Kristen further emphasises AI ’ s role in fraud detection , noting that AI models can “ detect and prevent fraudulent returns , like returning empty boxes .” Tim opts to address data-driven decision-making . “ The challenge is to use returns data for smarter decision-making effectively ,” he remarks .
“ AI ’ s greatest potential in returns lies in helping customers select the right thing in the first place ”
HELEN SCURFIELD , DIRECTOR OF INNOVATION , ASENDIA GLOBAL RETURNS
He describes how AI could transform returns orchestration , creating “ a truly autonomous decision engine ” capable of processing thousands of data points to determine a product ’ s optimal postreturn path .
Sender presents a comprehensive vision of AI-driven returns management .
“ ReturnPro harnesses advanced AI technologies to transform every stage of the returns management process ,” he says , before highlighting AI ’ s ability to analyse datasets in real time , optimise logistics routes and determine “ the most profitable path for each item .”
The consensus is clear : AI is not merely a technological upgrade but a fundamental reimagining of returns management , promising enhanced efficiency , customer experience and sustainability .
“ AI ,” Helen concludes , “ is at the forefront of this transformation .”
98 January 2025