Computer assisted purchasing

Today's supermarket shoppers need information on the “best” buys in terms of low prices, shopping convenience, and traveling cost. A survey of literature shows that there is no existing system which provides this information to the shoppers. In this paper we propose an urban supermarket shopping information system. First, a design program for the development of such a system is delineated. Then, two “shopper strategy models” are developed. The first model gives the best strategy to buy predetermined food items for weekly shopping. The second model is shopper activated and allows specification of food items, preference for stores and constraint on shopping time.