Donation, Liquidation & Circular Inventory Optimization

Distributors and retailers have reported measurable gains by embedding AI into disposition workflows. Research and consulting firm McKinsey finds that introducing AI in supply chains can reduce inventory levels by 20% to 30%.

In fashion, AI-powered grading has cut processing time for returns by up to 70%, improving consistency in quality assessments. Electronics retailers applying AI to disposition decisions increased value recovery from 15% to 40% of original price while reducing landfill disposal by more than 60%. Circular strategies are also driving growth in resale: industry data from ThredUp projects the global resale market will reach $351 billion by 2027, with the United States alone contributing $70 billion.

Overall, companies using AI for disposition report 25% to 35% greater value recovery than traditional methods and cut cycle times in half. These improvements highlight how machine learning can move circular commerce from a sustainability aspiration to a measurable operational advantage.