Gausium Launches Adaptive Robotic Cleaning Fleet at NRF 2026
New York, Monday, 12 January 2026.
At NRF 2026 today, Gausium unveiled a versatile robotic lineup, notably the PhanShop, which simultaneously cleans floors and displays advertisements, maximizing utility for modern retail environments.
A “Size-for-Every-Space” Strategy
This strategic pivot away from a singular solution is central to Gausium’s presentation at Booth #2559. Tim Slusher, the Sales Director for the US region, emphasized that retailers now require fleets scalable to their specific footprints, whether managing a boutique of 185.8 square meters or a massive warehouse spanning 18580.6 square meters [1]. The exhibit introduces a comprehensive portfolio that includes the Mira, Marvel, and Beetle models alongside the PhanShop, catering to the nuanced needs of diverse retail environments [1].
Technological Integration and Marketing
Beyond standard cleaning, Gausium is blurring the lines between maintenance and marketing. The PhanShop model, marketed under the slogan “Cleans Your Store while Selling Your Stock,” features an integrated promotional display and merchandise tray [1]. This allows the unit to act as a retail ambassador, utilizing customizable audio to engage shoppers directly on the sales floor [1]. Concurrently, the company debuted Omnie, the next-generation iteration of the Scrubber 50, which boasts an upgraded 3D-LiDAR sensor system for enhanced navigation in complex retail layouts [1].
Real-World Application and Sustainability
Just days prior to the NRF showcase, on January 9, 2026, Gausium demonstrated the practical viability of these technologies through a deployment at The Style Outlets in Madrid [2]. In collaboration with facility manager Serveo and local support partner Darlim, two Scrubber 50 units were integrated into the daily cleaning protocols of the outlet center [2]. This deployment highlights the operational efficiencies gained through automation, with Serveo managers utilizing a dedicated mobile app to monitor cleaning progress and access real-time productivity reports [2].