Abstract:
Grocery Shopping is considered a tedious and less interesting task by many yet a decisive activity to be undertaken as it is a vital part in human lifestyle. Simple techn...Show MoreMetadata
Abstract:
Grocery Shopping is considered a tedious and less interesting task by many yet a decisive activity to be undertaken as it is a vital part in human lifestyle. Simple techniques are used in assisting to carry out these activities, some of them being taking down the items to be purchased on a paper or on the mobile device or most commonly creating a mental list. This research introduces `The Smart Shopping List', a mobile software solution which enables the users to perform their grocery shopping experience with the ease of overcoming the above complications. The Application consists of several modules; Interactive Shopping List where the user can add/remove/cross items, Shop Locator which assist the user to find the ideal supermarket to go to so that most of the items can be bought in one place, Items Recommender powered with Apriori algorithm to remind the user of any possible missing items or items he may be interested in and `BringMe!', which is a text-to-app feature to share the shopping lists between the users. Upon the implementation, it was observed that very healthy results were developed from the data mining algorithm from the correlated data, as well as strong usability feedback given by the users showcasing 82% of beta users being benefited from the solution. Above discussed context has been a strong background which reasons for `The Smart Shopping List' to become a challenging project and as a novel concept not only the in the field of Social lifestyle but also in terms of Data Mining, Geo-Location and mobile technology as well.
Date of Conference: 28-30 November 2017
Date Added to IEEE Xplore: 12 March 2018
ISBN Information: