In this research, we have developed a prototype that aims to improve the weekly shopping experience for senior citizens. Our system tracks the movements of elderly individuals, eliminating the need for them to exert physical force in pushing or pulling the shopping trolley. To achieve this, we utilize a combination of sensors, including a gyroscope and magnetometer, to estimate the user's walking distance and direction. Additionally, we employ WiFi fingerprinting to accurately determine the user's position. Our experiments have yielded satisfactory results in terms of tracking accuracy and the overall functionality of the system. By addressing the specific challenges faced by senior citizens during the routine and essential process of grocery shopping, our smart shopping trolley concept seeks to enhance their experience. Through the integration of tracking technology and sensor-based solutions, we aim to make shopping more convenient and comfortable for elderly individuals. The positive outcomes observed in our experiments validate the effectiveness and feasibility of this approach.