Recommender Systems have been successfully deployed in a variety of e-Commerce application scenarios. Customer selections of services or standard goods are supported as well as product configuration tasks. Little research has however been done on the application of Recommender Systems outside the virtual domain in real-world stationary trade. This surprises as on a business side, brick-and-mortar stores remain the primary distribution channel for products of daily usage. On a technical side, the growing popularity of RFID-transponders for product identification has laid the foundation for generating both context-aware and user-adaptive product recommendations. This contribution describes approaches and challenges of utilizing concepts from the realm of Recommender Systems in RFID-enabled stationary trade.