Information at finger tips
##semicolon##
https://doi.org/10.52984/ijomrc1106##semicolon##
Shopping Mart Survey##common.commaListSeparator## Python3##common.commaListSeparator## Chat-botसार
“Information at finger tips” says the agenda of the work very much clearly. Basic idea behind this work is to provide an easy and most suitable way for users to find the information. Today’s generation is keen to gain knowledge, hence this platform will play an important role to help them and to act as a bridge that connects very easily to the required information is our main motive. We’ve considered the issue of Shopping. As there is increasing growth in the cities, the resources have also increased. We can say that for one thing there are multiple options present nowadays. Every citizen wants to be smart buyer where he can make his profit in terms of product quality and great discounts also. To tackle this issue we are building this system where they can search any related information. The operations will be performed in Python3. We will be providing an interface where the information can be accessed. To advance it one step further we will be using a chat bot for any assistance.
##submission.citations##
1. Beggs S, Cardell S, Hausman J. 1981. Assessing the potential demand for electric cars.Journal of Econo- metrics17: 1 – 19.
2. Basker E. 2004. Selling a cheaper mousetrap: entry and competition in the retail sector. Mimeo.
3. Callahan P, Zimmerman A. 2003. Grocery chains fighting Wal-Mart for market share.Wall Street Journal31 May.
4. Hausman, J. and Leibtag, E., 2007. Consumer benefits from increased competition in shopping outlets: Measuring the effect of Wal‐Mart. Journal of Applied Econometrics, 22(7), pp.1157-1177.
5. Dickson, J.P. and MacLachlan, D.L., 1990. Social distance and shopping behavior. Journal of the Academy of Marketing Science, 18(2), pp.153-161.
6. Argue, S. and Marcar, A.E., Wal Mart Stores Inc, 2014. Informing customers regarding items on their shopping list. U.S. Patent Application 13/723,174.
7. Derks, P. and Dishneau, D., Microsoft Corp, 2012. Online shopping optimization system. U.S. Patent Application 13/116,044.
8. Machleit, K.A. and Mantel, S.P., 2001. Emotional response and shopping satisfaction: Moderating effects of shopper attributions. Journal of Business Research, 54(2), pp.97-106.
9. Chu, H., Lection, D. and Masselle, E., International Business Machines Corp, 2002. Optimized shopping list process. U.S. Patent Application 09/855,827.
10. Davis, L. and Hodges, N., 2012. Consumer shopping value: An investigation of shopping trip value, in-store shopping value and retail format. Journal of retailing and consumer services, 19(2), pp.229-239.
##submission.downloads##
प्रकाशित
अंक
खंड
##submission.license##
##submission.copyrightStatement##
##submission.license.cc.by4.footer##This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain copyright of their work and grant the journal the right of first publication.