OBJECT ORIENTED SOFTWARE DESIGN DIGITAL ASSIGNMENT -2 NAME: Veda shruthi K REG.NO: 16BCE0617 SLOT: C1 Title: Online shopping system Aim: To develop website for users to shop online and pay for the product either through online or offline. Objective: This is a web based application which helps users to first sign up and then browse for products they need to purchase and get it delivered to their respective location. This will make the customers to easily purchase as most functions in this is automated .
The main objective is to satisfy the customer needs. Motivation: The motivation for doing this project was merely interest in this area which is now getting evolve d to a better level day by day. Due to the technology being improved, this system can be made better to a very higher level. In future it can be developed with still more features including it because of the evolving technology. This project helps customer s easily get their products in a short span of time if the product on the website is out of stock from the nearby stores if the same product is available in it.
The website provides details about the stores which have the product that is out of stock on we bsite for the customer to get it in short span of time if necessary. Problem Statement: The problem occurs if one of the products is out of stock and there will be an option for the customer to notify them whenever the product is available but then if th e customer wants toget it within few days then there will be an option for the customers to know if the product is available in the nearby shops based on their location.
So for this, website need s to have connections with all reputed stores around and mai ntain the products which the store and the website contain in similar. Introduction: The aim of this project is to develop a shopping website. It is developed using HTML, CSS, JavaScript, PHP and mySql. The application is very useful where the user can e asily order products online through mobile or internet at home. It reduces a lot of work for the customer. The money for the product can either be paid online or during the time of delivery. Any online shopping website evokes the physical analogy of buying products or services in a mall. The metaphor of online catalogue is also used, by analogy with mail order catalogues. Mostly all shops will have online websites. The shops which don’t have online websites will have connection with our website and so if a customer finds a product in which he/she is interested is out of stock, then our website will find the stores near the customer’s location so that if the customer needs to get the product with lesser time then he can get it very easily by driving up to the respected store in which it is available. The challenging task here is to updating the database of our website along with the other shops d atabase those collaborated with us. Literature review: D.W.Manchala did survey on the metrics and models of trust in online shopping system. In this, the traditional models of trust between vendors and buyers fall short of requirements for an electronic marketplace, where anonymous transactions cross territorial and legal boundaries as well as traditional value -chain structures. This paper introduced a notion of quantifiable trust and then develop models that can use these metrics to verify e -commerce transactions in ways that might be able to satisfy the requirements of m utual trust. [1] N.Kulkarni, S.Kumar, K.Mani and S.Padmanabhuni made a survey on how to integrate the frameworks which helps retailers to easily define their services. Online retailers have utilized a progression of innovations to grandstand their items an d administrations on the Web. That encounter gives them a more noteworthy understanding into what it is that the most recent innovation, Web administrations, can offer them. They did a brief survey of the evolution of evolving online shopping technologies in order to know what functions has beenimplemented and what not. They describe how Amazon’s investment in its e -commerce services gives Amazon partners access to common online retailing functionalities. Through this they present the partner integration f ramework which they developed to help retailers in order to define their services easily. [2] Seon Yeon Chung and C.Park were the one who did a survey on these online shopping literatures and proposed a hierarchical model of its behaviour. Through their su rveys and studies which they did using the already existing work, it was found framework, methodology used and also there was lack of cross -cultural comparison. This motivated them to develop a model with this ability that is the cross -cultural mode of onl ine shopping which included shopping value, attitudes to online retailer’s attributes and online purchasing based on the integrated V -A -B model. [3] Three years back W.Yu, C.G.Yan, Z.Ding, C.Jiang and M.Zhou conducted their survey on online shopping proces ses by modelling the various patterns and verifying it. This survey was done because of the security challenges due to complexity interactions between API’s of Merchants and the others. So they presented a formal model for modelling and verification of onl ine shopping business processes with malici ous behaviour patterns consider ing them as Petri nets. They proposed a formal model called E -commerce Business Process Net to model a normal online shopping business process that represent intended functions, and malicious behaviour patterns representing a potential attack that violates the security goals at the requirement analysis phase. Then they synthesized the normal business process and malicious behaviour patterns by an incremental modelling method. Through these they analysed if the online shopping processes are resistant to malicious behaviour patterns. [4 ] S.Hernandez, P.Alvarez, J.Fabra and J.Ezpeleta did their survey on the user’s behaviour in order to know if the users are satisfied with the service of online shopping systems. Online shopping is becoming more and more common in our daily lives. The most important in services like these is to satisfy the user’s needs. The analysis of such information has been focused and some of the data mining techniques have been applied in order to collect these information rather than a static model. They proposed a linear -temporal logic moel checking approach for the analysis of structured e -commerce web logs. The results of this model have made to make some improveme nts in the existing online shopping systems there by increasing its efficiency. [5 ] D etailed design:A nalysis model:A ctivities: ‚· Customer logs on to the website.‚· Selects products to buy and add them to their shopping cart. ‚· Place the order. ‚· A fter the order gets confirmed, the customer can track the order status. ‚· Customer can pay through any of the methods given ‚· O rder gets delivered and if the custo mer is not satisfied with the produ ct delivered they can return the product and refund the money. ‚· If the required product is not available in the stock then the customer can view the details of the offlin e stores near by the customer location in which the required products are available. Algorithm: The proposed idea can be implemented using artificial intelligence and machine learn ing techniques. AI techniques allows system to behave as humans whic h increases the efficiency of the system and also helps customers to easily use the system. M achine learning techniques helps to identify patterns within data to cluster them and classify them accordingly. H ere, in this system, it helps system to classify products and also the stores nearby them accordingly and displays to customers. These algorithms he lps to increase customer understanding, also predict customer preferences and also know about customer intent. Results and conclusion: This newly proposed idea can help users to identify stores nearby and also do not disappoint the customers whose required products are not available in the stock for that instance of time. This helps to understand customers a lot and also increase efficiency of system . R eference: Manchala, D. W. (2000). E -commerce trust metrics and models. IEEE internet computing , (2), 36 -44. N. Kulkarni, S. Kumar, K. Mani and S. Padmanabhuni, “Web services: e -commerce partner integration,” in IT Professional , vol. 7, no. 2, pp. 23 -28, Jan. -Feb. 2005. Chung, S. Y., & Park, C. (2009, February). Online shopping behavior model: A literature review and proposed model. In Advanced Commu nication Technology, 2009. ICACT 2009. 11th International Conference on (Vol. 3, pp. 2276 -2282). IEEE.Yu, W., Yan, C. G., Ding, Z., Jiang, C., & Zhou, M. (2016). Modeling and verification of online shopping business processes by considering malicious beha vior patterns. IEEE Transactions on Automation Science and Engineering , 13 (2), 647 -662. Hernndez, S., lvarez, P., Fabra, J., & Ezpeleta, J. (2017). Analysis of Users’ Behavior in Structured e -Commerce Websites. IEEE Access , 5, 11941 -11958 .
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