AI transforms retail revenue from a cost burden to a competitive advantage: McKinsey

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By implementing artificial intelligence and automation, retailers can transform reverse logistics from a cost burden to a strategic revenue tool, according to McKinsey & Company.

In its report, From Cost Center to Competitive Advantage: Modernizing Reverse Logistics with AI, McKinsey & Company notes that in 2024, U.S. consumers will return nearly $1 trillion in goods, forcing retailers to spend about $200 billion annually to process returns and recover value. An AI-driven decision engine can personalize return policies, optimize real-time disposition, and direct returned items to the most valuable channels such as replenishment, remanufacturing, resale, liquidation, and recycling to improve profit margin recovery.

However, McKinsey also noted that many retailers still rely on static rules and manual inspections, resulting in slow processing and reduced margins. By integrating customer, product and supply chain data into intelligent systems, you can increase resale value, reduce fraud such as identifying repeat returners and wardrobe patterns, and reduce delivery times.

According to McKinsey, retailers can turn $200 billion in annual return costs into business value by adopting AI-powered return policies and real-time disposition. Improved data integration, smarter routing decisions, and stronger recommerce strategies can accelerate return on value, reduce losses, and protect margins while improving the customer experience.

Dynamic, customer-specific return policies do not significantly deter shoppers, with 71% of consumers surveyed saying a customized policy would not reduce their future purchases. The report further highlighted the need to integrate returns management into product design, pricing frameworks, and lifecycle strategies to enhance value recovery and reduce waste.

The consulting firm outlined six key levers for modernizing reverse logistics: managing demand, improving data and insights, AI-driven decision-making, optimizing operations, recommerce strategies, and structured feedback loops.

The company emphasized that turning revenue into competitive advantage requires cross-functional collaboration across merchandising, supply chain, finance and customer experience departments. Retailers that treat reverse logistics as a core business function rather than a back-end process can protect margins while strengthening customer loyalty.

Fibre2Fashion News Desk (CG)



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