Friday, December 6, 2019

Flower Shop Mobile Application

Question: Discuss about the Report for Flower Shop Mobile Application. Answer: 1. Objectives, Output and Targets: Objectives: The application will automatically determine the nearest flower shop to the user. The location of the user will be accessed automatically. The complete purchase of the user will be calculated. On the basis of the purchase history of the user offers will be provided to the user. The review of other users will be included in the system. Every user can provide feedback after the completion of the purchase, include delivery of the product. Faceted and layered navigation is provided to the user. The application will notify the user if the most bought products are available in the stores. Outputs: Better and efficient navigation through the application. Better customer service. Making the consumer more loyal. Better delivery of the products. Providing more information along with consumer perspective on each product. Targets: More engagement of the user. Bung from remote location with more efficiency. Making the system more reliable. Making full potential of the database. Success Criteria: Enhancing the consumer request completion. Upgrading the consumer satisfaction more than hundred percent. Automatic generation of the consumer purchase report. Keeping the user more connected with the application. Providing delivery within less time. Delivery to any location which lies within range within thirty minutes. Design Aims: The navigation will be planned in such as way that the users can navigate through the products in most possible less time. The application will consist of an option in the menu called your location to recognize the location where the product to be delivered currently. The application will include two default addresses regarding each user. In addition to that, the last selected location in your location option will also be saved. At the time of purchasing product among the three locations one has to be selected by the user. Each employee will provide two kind of feedback. One will be visible to all the users and one will be sent to only organization. The review on products will be visible on the individual product page. The feedback on delivery will be accessed by the organization to improve the quality of service. Storing the purchase activity so that the purchase pattern of the employee can be recognized. Moreover, the most bought products will be promoted along with the most popular products. Outline of the Proposed Design: A separate relation in the database will be created. In the relation the entities will be users and products unique identity number, date of purchase, total payment and many more. Through these relations the transaction of every purchase can be tracked easily. Along with that, which consumer bought which products most can be recognized. The transaction related sensitive details will be stored in other relation which will be more secured. Only the transaction unique number will be present in the relation. The Google map intergradations will assist in developing the application in such a way that the location of the user can be tracked. It will allow the user not to enter the locations other than the default ones remotely. The default locations will be the home and work place. It will be created at the time of the registration. These two locations are modifiable. After completion of purchase, a screen will appear which will ask the user to provide feedback on the service and product. As soon as the user inputs the review, the view of the user regarding the product will be updated in the product page. For both types of the feedback, separate relations will be generated. Offers will be garneted and inputted by the system administrator. There will be terms and policies in terms of the offers. The application will automatically compare the information regarding each user with the terms and conditions of the offers and provide the offers to the eligible ones. Notifications regarding offers will be garneted in the mobile phones of the user. Proposed Evaluation Method: The changes in the application will be carried out one by one. These changes in the application will be called as alpha version of the application (Patwardhan et al., 2016). These will be tested and integrated by the test team. At end of the successful testing of all the alpha versions a beta version of the application will be generated and to be used by the employee of the origination. Their feedback will be collected to make the application perfect (Mahalakshmi Sundararajan, 2013). References: Mahalakshmi, M., Sundararajan, M. (2013). Traditional SDLC Vs Scrum MethodologyA Comparative Study.International Journal of Emerging Technology and Advanced Engineering,3(6), 192-196. Patwardhan, A., Kidd, J., Urena, T., Rajgopalan, A. (2016). Embracing Agile methodology during DevOps Developer Internship Program.arXiv preprint arXiv:1607.01893. Bibliography: Einav, L., Levin, J., Popov, I., Sundaresan, N. (2014). Growth, adoption, and use of mobile E-commerce.The American economic review,104(5), 489-494. Harper, D. M. (2014). The Integration of Google Maps into American Kestrel, Falco sparvarius, Nest Trail Programs. Joseph, A., Divya, V. R., Mathew, L. S. (2016). Fake Product Detection and Reputation System for E-commerce. Lee, Y. J., Trevathan, J., Atkinson, I., Read, W. (2015). The Integration, Analysis and Visualization of Sensor Data from Dispersed Wireless Sensor Network Systems Using the SWE Framework.Journal of Telecommunications and Information Technology, (4), 86.

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.