Samsung WF20DG8650BV Smart Washing Machine, 20kg

Maximise operational efficiency and reduce laundry turnaround times with the Samsung WF20DG8650BV – a high-capacity 20kg commercial washing machine designed for light-duty commercial use across industries such as hospitality, wellness, education, and food service. Engineered with cutting-edge AI technology and energy-efficient features, this model provides powerful cleaning performance while helping businesses reduce resource consumption and operational costs. Enhanced Productivity with Large-Capacity Washing: Handle high laundry volumes with ease thanks to the ultra-generous 20kg drum capacity. Ideal for bulk items such as bedding, uniforms, towels, and heavy garments, this large drum significantly reduces the number of wash cycles required. Businesses benefit from time savings, reduced energy usage, and lower water consumption – all without compromising cleaning performance. Energy-Efficient Smart Washing with AI EcoBubble™: Achieve outstanding washing results at lower temperatures using Samsung’s innovative AI EcoBubble™ technology. This intelligent system converts detergent into powerful bubbles that penetrate fabric fibres more quickly and efficiently, delivering 20% better stain removal while preserving fabric quality. Combined with SmartThings Energy’s AI Energy Mode, energy consumption can be reduced by up to 60% on selected cycles – a sustainable solution that supports your environmental goals. Based on testing using the Eco 40–60 programme, full-load energy use is just 0.505 kWh per cycle, with water usage capped at 74 litres. AI-Driven Optimisation for Effortless Cleaning: The integrated AI Wash system utilises advanced sensors to continuously assess fabric type, soiling level, and load weight in real-time. The machine then automatically adjusts detergent levels, water intake, and cycle duration to deliver precise, efficient washing with minimal waste. This ensures excellent results across a wide range of textiles and soiling intensities, ideal for busine