All over the world more than half of the people are coming out for shopping. Though shopping is one of the basic needs of the people, they don’t show much importance to it due to lack of activeness and high cost. Most of the people think that all costly products are quality products and run towards Shopping Malls. However, all costly products are not quality products and all cheap products are not low in quality. Nowadays most of the online shopping is not reliable and fake products are also sold via online. In this paper, we developed a commodity search system that can search and filter the nearby shops which sell the desired products based on the customers budget. This task is performed using Nearest Neighbour Search and Branch & Bound Algorithm. The Nearest Neighbour Search is used to search the best route, Whereas Branch and Bound Algorithm is used to select the customers budget. Detailed information of related product and shops are displayed in the result, together with a navigation map showing the best route to the target shops. If the desired product is not available nearby, substitutes in the same category will be recommended for the users.