In the recent years, there has been significant research, along with the development of related system, targeting both online shopping settings, as well as location-aware marketing/advertising and surveys. In this paper, we present TOSNOS - a prototype end-to-end system that enables efficient and effective shopping experiences for individuals as well as households. Specifically, we provide a solution that seamlessly integrates: (1) automatic generation of items to be included in a shopping list using IoT sensors, (2) the generation of orders to an apriori prescribed online vendor for each item on the shopping list, (3) the detection of user's proximity to an actual store location, and (4) the generation of a notification regarding items that are on sale in the nearby store, which also happen to be in the user's online order and for which the nearby store may be offering discount prices. Our solution not only incorporates different shopping possibilities for the users, but it also enables integration of location-awareness with the user's budget vs. time management. The demo will provide a step-by-step illustration of the main interacting modules of the system, including IoT sensors, database unit, and user interfaces. Furthermore, it will illustrate different heterogeneous functions of the TOSNOS system using example use case scenarios.