Abstract—Nowadays bar-codes are used in many different applications and environments. For most applications such as access control, price calculation, etc. a hand-held scanner is enough but in other environments where time is critical hardware scanners aren’t the best choice. In such situations a software bar-code reader can process the bar-code readers present in a scanned document without human interaction.
The approach used to implement this kind of software scanners is to simulate the data using the mobile bar-code scanner by tracing bar-code present on the product. The web application which contains the bar-code scanner scans data present on the bar-code which consists of the various attributes (weight of the product, making charges of the product, wastage of the product) and stores them. The mobile application also takes the current price of the silver, using the attributes and price of silver the application gives an output which is the selling price of the product having the respective bar-code. Keywords- Bar-code, scanner, wastage. I. INTRODUCTION Price Calculator is a special type of bar-code scanner that scans the bar-code present on a silver article followed by performing some calculations to determine selling price of a silver product.
Price Calculator facilitates the work of a silver merchant by eliminating the time-consuming calculations. Generally bar-code scanners are input devices that are used to capture and read information contained in a bar-code. Here we provide an automated system which provides enhanced techniques for maintaining the data of a sliver product and also helps in easy retrieval of data and computations which results in finding selling price of a product. The silver merchant shall manually calculate the price of a silver article by performing some calculations. These calculations include summing up the cost of a product with respect to its weight to the wastage along with making charges. Manual calculation is a Labor-intensive pricing and slow, time consuming process.
The silver merchant should also remember the making and wastage charges of each and every product which is sometimes difficult for his memory. So here we build a system which takes less time for computing and provides the interface which is user friendly. The user of the application scans the bar-code using the device camera and price of the silver article is obtained. Which reduce the manual task of computing the selling price and also a system which reduces the effort, time and errors for calculating selling price. Accuracy of data input is present since the data is interpreted as a bar-code.Ease of implementation with swift results.
Generates accurate output since computations are done by machine. This system is a boon to the merchant and as System generated price is obtained which gains the trust of the customer. II. LITERATURE STUDY “Pricing research and pricing optimization” By Gabor-Granger1 Pricing is one of the more technical areas of market research. The aim is not to find what customers like, but what they are willing to pay and so what the optimum price point is to maximize profit or revenue or market share. There are four main approaches to pricing research, the Gabor-Granger technique, van Westernmost Price Sensitivity Monitor, Brand Price Trade-off and Conjoint Analysis (also known as Discrete Choice Analysis).
“Estimating the Price Elasticity of Demand Quasi Experimental Methods” By H. Allen Klaiber, V. Kerry Smith, Michael Kaminsky, and Aaron Strong 2Some techniques can be used off-the-shelf and many companies sell branded pricing research packages that are just a variation on one of these techniques, however selecting the right technique ultimately depends on what the problem is you are trying to solve.”Fractional Co integration Analysis of Industrial Metal Price” By Andreas Dechert3This paper investigates the spot price relation between different industrial metals with fractional co integration methods, which can be seen as a generalization of the classical co integration approach. The motivation of their usage is that the application of traditional methods might be to restrictive as empirical data require a more flexible econometric approach. Despite classical co integration methods like the ADF residual test among others indicate a co integration relation among some of the industrial metals, we find a slowly decaying structure of the auto correlation function of the co integration error terms”Cost calculation methods” By Msc.arch.
Laszlo Szonyi Budatest University of Technology and Economics, Technology and Management, Hungary4 This can be explained by a long memory property and shows that shocks of the industrial metal market have long lasting effects on metal prices. For evaluation of this effect the fractional co integration approach is chosen and estimated by current methods like the multivariate exact local Whittle estimator by Shimotsu (2012), which yields semi parametric estimates of integration orders and co integration parameters in a unified approach, and the parametric fractional co integrated vector auto regression model (FCVAR) proposed by Johansen and Nielsen (2012).”Estimating sheet metal fabricated parts” by Rob Olney 5 Most original equipment manufacturers (OEMs) request quotes from two to five suppliers for their sheet metal fabrication requirements. Pricing between suppliers can differ by as much as 50%.More importantly, will sourcing to the lowest cost supplier really cost the company the least? Understanding the costs of a sheet metal part will help you evaluate the choices each supplier is making to provide their price. III. PROPOSED METHODOLOGY In the proposed system here the silver merchant first enters the bar-code details like wastage, making charges and the weight of the product and makes a bar-code of these attributes.
The respective product is pasted with the bar-code created.when a customer wants to buys a certain product the merchant scans the product’s bar-code with the bar-code scanner which gets all the attributes present on the bar-code. Along with this attributes present days silver cost is entered by the merchant which is used to perform the calculations i.e.
Selling price =weight+(wastage %of weight) *Silver price + making charges. The system automatically performs this calculations and selling price is displayed. If the customer wants to purchase this product the product is added to the bill by the merchant. This system is accessed by the admin/ merchant where he can create a bar-code or scan the bar-code for the purpose of finding the selling price of the silver product. He can also add the product to the bill.
Figure 1. System Architecture. The system consist of the following modules Login: The login interface allows the admin to enter his credentials user-name and password by entering the valid credentials the merchant gets logged in to the system. Silver ornaments: Bar-code scanner scans the bar-code present on the silver product. Later system prompts user to enter the current price of silver according to the present date.
After successful entry of silver price, the selling price of the silver product is added to bill. Bar-code: Admin assigns values in order to generate bar-code to a particular silver product which includes wastage, weight and making charges of the silver product. Accordingly, System generates a bar-code for the silver product. Bill: When the customers buy any silver products, the selling price of those respective products are included in the bill. Later the shop merchant prints and gives it to the customer. IV. CONCLUSION Now a day everyone wants to know the information quickly.
This project permits the user to operate and perform with ease. Its prime objective is to reduce workforce and time involved. All the while providing the requested information and data. The System is meant to be user friendly. Price calculator helps build a web application which is used for the purpose of calculating selling price of silver ornaments by scanning the bar-code present on the silver product.
The web application which contains the bar-code scanner scans data present on the bar-code which consists of the various attributes (weight of the product, making charges of the product, wastage of the product) and stores them. The web application also takes the current price of the silver, using the attributes and price of silver the application gives an output which is the selling price of the product having the respective bar-code. V. ACKNOLEDGMENTWe would like to express our gratitude to all the people behind the screen who helped us to transform an idea into a real application. We would like to express our heart-felt gratitude to our parents without whom we would not have been privileged to achieve and fulfill our dream. We are grateful to our principal, Mr. L.
V.N PRASAD who most ably run the institution and has had the major hand in enabling us to do our project. We profoundly thank Dr.
K.SRINIVASA REDDY, Head of the Department of Computer Science & Engineering who has been an excellent guide and also a great source of inspiration to our work. We would like to thank our internal guide ASSISTANT PROFESSOR.
Mr. G. Chandra Sekhar for his technical guidance, constant encouragement and support in carrying out our project at college. The satisfaction and euphoria that accompany the successful completion of the task would be great but incomplete without the mention of the people who made it possible with their constant guidance and encouragement crowns all the efforts with success. In this context, we would like to thank all the other staff members, both teaching and non-teaching, who have extended their timely help and eased our task.
VI. REFERENCES1Pricing research and pricing optimization By Gabor-Granger.2Estimating the Price Elasticity of Demand Quasi Experimental Methods By H. Allen Klaiber, V.
Kerry Smith, Michael Kaminsky, and Aaron Strong 3Fractional Cointegration Analysis of Industrial Metal Price By Andreas Dechert4Cost calculation methods By Msc.arch.Laszlo Szonyi Budatest University of Technology and Economics, Technology and Management, Hungary.5Estimating sheet metal fabricated parts by Rob Olney 6 B. Hartmann, D. MacDougall, J.
Brandt, and S. R. Klemmer, “What would other programmers do: suggesting solutions to error messages,” in Proceedings of the 28th International Conference on Human Factors in Computing Systems, CHI, 2010, pp. 1019–1028. 7 J. Matejka, W. Li, T. Grossman, and G.
Fitzmaurice, “Communitycommands: Command recommendations for software applications,” in Proceedings of the 22Nd Annual ACM Symposium on User Interface Software and Technology. ACM, 2009, pp. 193–202. 8 S.
A. Hajimirsadeghi, H.-Y.
Paik, and J. Shepherd, “Processbook: Towards social network-based personal process management,” in Business Process Management Workshops, 2012, pp. 268–279. 9 J. Xu, H. Paik, A. H.
H. Ngu, and L. Zhan, “Personal process description graph for describing and querying personal processes,” in Databases Theory and Applications – 26th Australasian Database Conference, ADC, 2015, pp. 91–103. 10 A. Koschmider, M.
Song, and H. A. Reijers, “Social Software for Modeling Business Processes,” in Business Process Management Workshops, 2008, pp. 666–677.