Why ‘Keep It’ Returns Should Be Illegal

Why It Matters

The hidden fraud and data corruption from “keep it” refunds erode margins and jeopardize compliance with emerging ESG and EPR regulations, making the practice a strategic liability for retailers.

Key Takeaways

• “Keep it” refunds fuel tens of billions in fraud losses.
• Ghost inventory skews demand forecasting and replenishment decisions.
• Policies shift waste to consumers, increasing landfill impact.
• Regulators in EU and California target end‑of‑life responsibility.
• Circular disposition can turn refunds into measurable assets.

Pulse Analysis

Retailers have long wrestled with the expense of reverse logistics. When a $12 product costs $8 to inspect, restock, and ship, a “keep it” refund appears as a quick win, eliminating handling and warehouse touch. Yet the practice masks a deeper financial drain: fraudsters exploit the loophole, generating an estimated $80 billion in illegitimate refunds each year, while merchants lose visibility into true return rates. The short‑term savings are quickly eclipsed by the hidden cost of untracked inventory loss.

Beyond fraud, “keep it” refunds corrupt inventory data, creating ghost stock that skews demand forecasts and triggers over‑ordering. When a SKU disappears from the system without a physical trace, replenishment algorithms overcompensate, inflating carrying costs and eroding margin. Environmentally, the illusion of waste reduction falls apart; items abandoned by consumers often end up in landfills, undermining corporate ESG pledges. European and Californian lawmakers are already embedding extended producer responsibility into law, signalling that retailers will soon be held accountable for the end‑of‑life fate of every returned product.

Retailers can transform the “keep it” dilemma into a circular advantage by decoupling refunds from disposal. Modern warehouse‑management systems can flag low‑cost returns for donation, resale, or refurbishment, capturing tax credits and extending product life. Dynamic risk models that adjust thresholds based on purchase history, category risk, and fraud signals prevent systematic gaming. By integrating real‑time disposition data, companies restore inventory accuracy, improve forecasting, and demonstrate compliance with emerging EPR regulations. The net result is a measurable reduction in fraud loss, lower logistics spend, and a stronger sustainability narrative that resonates with consumers and investors alike.