Data Mining-Based Point of Sale with Auto-Source Triggering and Business Reports
Abstract
With the advent of cutting-edge innovations like Cloud Computing, AI, ML, etc., business owners now have the option of selecting a system that is scalable, user-friendly, and safe, granting them complete command over their enterprise. A point-of-sale system (POS) is a type of retail management software that helps stores keep track of their stock, make purchases, and process customer transactions. When making a purchase in a store, the transaction is finalised at the point of sale. One of the most obvious and persuasive arguments for the widespread use of point-of-sale systems in businesses is the improvement in stock management that results from using one. In this project, an auto source triggering of goods is used to acquire the fast-moving consumer goods when the stock quantity of the product reaches the re-order point for efficient business operations, in addition to the existing common POS functionalities such as inventory management, membership system, supplier record, bookkeeping, issuing of purchase orders, quotations, and stock transfers. This helps the company because it shortens the time it takes to complete an order. All of the company's financial dealings will be recorded there, allowing for the creation of useful business intelligence reports such as monthly bestsellers, most profitable items, etc. The proposed system does not include procedures for settling invoices between the supplier and the buyer.
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170. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
171. Srinath Venkatesan, “Analysis And Forecasting Of Sports Events Using Machine Learning Techniques”, Neuroquantology, Vol. 21, No 2, pp. 237-246, (2023).
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174. Jain, Rituraj, Chakravarthi, M. Kalyan, Kumar, P. K., Hemakesavulu, O., Ramirez-Asis, Edwin, Pelaez-Diaz, Guillermo and Mahaveerakannan, R. "Internet of Things-based smart vehicles design of bio-inspired algorithms using artificial intelligence charging system" Nonlinear Engineering, vol. 11(1), pp. 582-589, 2022.
175. Pradeep Reddy, Gogulamudi, Yellapragada Venkata Pavan Kumar, Maddikera Kalyan Chakravarthi, and Aymen Flah., "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids" Sustainability 14, no. 16: 10367, 2022.
176. Reddy, Gogulamudi Pradeep, Yellapragada Venkata Pavan Kumar, and Maddikera Kalyan Chakravarthi., "Communication Technologies for Interoperable Smart Microgrids in Urban Energy Community: A Broad Review of the State of the Art, Challenges, and Research Perspectives" Sensors 22, no. 15: 5881. 2022.
177. C. R. Mahesha, R. Suprabha, Nellore Manoj Kumar, Koushik Kosanam, Harishchander Anandaram, S. C. V. Ramana Murty Naidu, M. Kalyan Chakravarthi, Venkatesan Govindarajan, "Effect of Friction Stir Welding on the Mechanical and Microstructural Behaviour of AA7075 Aluminium Alloy", Advances in Materials Science and Engineering, vol. 2022, 8 pages, 2022.
178. B. Deepa, K. Gayathiridevi, M. Kalyan Chakravarthi, A. Shajahan, B Shanti Sree, Mohammed Imran Anees, Mohammad Habeeb, ”Slow evaporation technique to grow 3 – Amino benzene sulfonic acid single crystal for Non-Linear optical (NLO) transmission”, Materials Today: Proceedings, Vol. 62, Part.4, pp.2119-2123, 2022.
179. A.Afroos Banu, S.Mani Naidu, Vinjamuri S.N. Ch.Dattu, G.Sridevi, M.Kalyan Chakravarthi, N.R.Rajagopalan,” Experimentally investigating the influence of static mixers on the performance of a solar water heater”, Materials Today: Proceedings, Vol. 62, Part. 4, pp. 2370-2375, 2022.
180. M. Siva Ramkumar, R. Priya, R. Felshiya Rajakumari, Prajoona Valsalan, M. Kalyan Chakravarthi, G. Charlyn Pushpa Latha, S. Mathupriya, Kavitha Rajan, "Review and Evaluation of Power Devices and Semiconductor Materials Based on Si, SiC, and Ga-N", Journal of Nanomaterials, vol. 2022, 7 pages, 2022.
181. S. Gowtham, T.Ch. Anil Kumar, N. S. M. P. Latha Devi, M. Kalyan Chakravarthi, S. Pradeep Kumar, R. Karthik, Harishchander Anandaram, N. Manoj Kumar, Kiran Ramaswamy, "A Survey on Additively Manufactured Nanocomposite Biomaterial for Orthopaedic Applications", Journal of Nanomaterials, vol. 2022, 7 pages, 2022.
182. Buragadda, S., Rani, K.S., Vasantha, S.V., Chakravarthi, M.K.,“HCUGAN: Hybrid Cyclic UNET GAN for Generating Augmented Synthetic Images of Chest X-Ray Images for Multi Classification of Lung Diseases”, International Journal of Engineering Trends and Technology, 70(2), pp. 229-238, 2022.
183. M.Kalyan Chakravarthi, Nithya Venkatesan,”Experimental Transfer Function Based Multi-Loop Adaptive Shinskey PI Control For High Dimensional MIMO Systems”, Journal of Engineering Science and Technology, 16(5), pp.4006-4015, 2021.
184. M.Kalyan Chakravarthi, Nithya Venkatesan, “Adaptive type-2 fuzzy controller for nonlinear delay dominant MIMO systems: an experimental paradigm in LabVIEW”, International Journal of Advanced Intelligence Paradigms, 10(4), pp.354 – 373, 2018.
185. A, Vishwanathraddi, Chakravarthi M., Kalyan ,”Arduino-based wireless mobot”, Asian Journal of Pharmaceutical and Clinical Research, 10(13), pp.61–65, 2017.
186. M.Kalyan Chakravarthi, Nithya Venkatesan, “Implementation of a Multi user Secured Remote Data Logger for Real Time Hybrid System”, Indian Journal of Science and Technology, 9(35), 2016.
187. Jolly, Anu Rose, Chakravarthi, M Kalyan, Jindal, Naveen Kumar, Birla sekaran, Dinesh,” Transparent Proxy Cache server using Raspberry Pi”, Indian Journal of Science and Technology, 9(44), 2016.
188. M.Kalyan Chakravarthi, Nithya Venkatesan, 2015,” Design and Implementation of LabVIEW Based Optimally Tuned PI Controller for A Real Time Non Linear Process”, Asian Journal of Scientific Research, Vol.8, Number 1, pp.95-106.
189. Lohith Ujjaniya, M.Kalyan Chakravarthi, “Raspberry - Pi based cost effective vehicle collision avoidance system using image processing”, ARPN Journal of Engineering and Applied Sciences, 10(7), April 2015.pp.3001-3005.
190. Uday Kiran Ruttala, M. S. Balamurugan and M. Kalyan Chakravarthi,” NFC based Smart Campus Payment System”, Indian Journal of Science and Technology , Vol 8(19), pp.1-5, 2015.
191. M.Kalyan Chakravarthi, Pannem.K.Vinay, Nithya Venkatesan, ”Design and Simulation of Internal Model Controller for a Real Time Nonlinear Process”, Indian Journal Of science and Technology, 2015, 8(19): pp.1-6.
192. M.Kalyan Chakravarthi, Nithya Venkatesan, “Experimental Validation of a Multi Model PI Controller for a Non Linear Hybrid System in LabVIEW”, Telkomnika, 13(2):pp.547-555.
193. M. Kalyan Chakravarthi and Nithya Venkatesan, 2015. “Design and Implementation of Adaptive Model Based Gain Scheduled Controller for a Real Time Non Linear System in LabVIEW”. Research Journal of Applied Sciences, Engineering and Technology, 10(2): 188-196.
194. Vijay Kumar Patale, M.Kalyan Chakravarthi, 2014, ”RF Harvesting Circuitry for Ambient Backscatter Technology “, International Journal of Applied Engineering Research, ISSN:0973-4562,Volume 9, Number 19, pp. 5769-5778.
195. Lohit Ujjainiya, M.Kalyan Chakravarthi and Ankit Soni. “Development and Implementation of Gesture Controlled Automatic Audio System”, International Journal of Computer Applications, 106(13), pp.25-28, 2014.
196. M.Kalyan Chakravarthi, Nithya Venkatesan “LabVIEW Based Tuning Of PI Controllers For A Real Time Non Linear Process”, Journal of Theoretical and Applied Information Technology, ISSN: 1992-8645, Volume 68, Number 3, October 2014, pp579-585.
197. Jeet, D., (2017). GST: An Overhaul in Taxation Policy of India- Why and How. International Journal of Science Technology and Management, 7, 479-485.
198. Jeet, D., (2016). Participatory Governance - A Performative Practise. University Journal of Management & Commerce, 1, 139-145.
199. Jeet, D., (2015). Critical Review of Prime Minister’s Jan Dhan Yojana – A step towards Financial Inclusion. International Journal in Multidisciplinary & Academic Research, 4, 479-485.