Design and implementation of a Marking Strategy to Increase the Contactability in the Call Centers, Based on Machine Learning
Jamar is a company that belongs to the furniture sector, which manufactures and sells furniture and accessories for the home. Customer calls are one of the most trusted channels used in contact centers. Currently, the contactability indicator has a goal of 40% and is at 31%. The enemies of the efficiency of this channel are the terrible dimensioning, customers who evade answering these calls by identifying the numbers, non-market numbers in the databases, failures in the technological resources. Therefore, a proposal was made to design and implement a marking strategy in the call center, supported by a statistical model for dimensioning. Likewise, emerging technology such as Machine Learning is performed to help the marking strategy in outbound campaigns, reconfiguration of the dialplan to make it more efficient, and a redundant architecture design in the operators. Basic concepts of Teletraffic are explained, showing its primary functions, relevant for the management of the company's telephone system. In the same way, fundamentals of the Asterisk IP PBX are exposed, one of the most used in our environment due to its versatility and low implementation cost. The methodology of descriptive and applied research is used for the development of the project. The results and discussion show the dialing strategy and some call statistics from previous years, necessary to establish a correct dimensioning of the solution. The proposed solution allows having redundancy management for SIP and trunk operators, to have backup and reliability in case of failure.
A. M. Gonzalez Vanegas, “Análisis de las estrategias usadas por los servicios de tercerización de procesos de negocios (call center) en Colombia de frente a la fidelización de los clientes,” Bogotá, 2014.
M. C. Henao Robayo, M. J. Quiñonez Sánchez, and S. A. Cáceres Pinzón, “Estrategias De Tercerización En Colombia Como Centro De Operaciones Enfocado a Los Call Centers En Barranquilla,” Universidad del Rosario, 2013.
S. Ben-David and S. Shalev-Shwartz, Understanding Machine Learning: From Theory to Algorithms. 2014.
I. Cheng, N. Boyette, and V. Krishna, “Towards a low-cost high-quality service call architecture,” in Proceedings - 2006 IEEE International Conference on Services Computing, SCC 2006, 2006.
B. Legros, O. Jouini, and Y. Dallery, “A flexible architecture for call centers with skill-based routing,” Int. J. Prod. Econ., 2015.
R. Hernandez Sampieri, C. Fernandez Collado, and M. del P. Baptista Lucio, Metodología de la investigación. 2010.
M. A. Saravia Gallardo, “Metodología de investigación científica,” Conacyt, pp. 1–18, 2006.
I. Goodfellow, Y. Bengio, and A. Courville, “Machine Learning Basics,” Intell. Sens. Networks Integr. Sens. Networks, Signal Process. Mach. Learn., 2012.
E. Alpaydın, Introduction to machine learning. 2014.
I. H. Witten, E. Frank, and M. a Hall, Data Mining: Practical Machine Learning Tools and Techniques (Google eBook). San Francisco: Morgan Kaufmann, 2011.
V. Iversen, Teletraffic Engineering and Network Planning. 2005.
I. J. Joskowicz, “Teoría e Ingeniería de Teletráfico Introducción Teoría e Ingeniería de Teletráfico.” Montevideo, p. 131, 2017.
B. Schwarz, “Asterisk open-source PBX system,” 2004.
S. Senthil Kumar, B. S. Dhivyalekshmi, S. Preethi, and R. Perumalraja, “PBX implementation in LAN using asterisk open source software,” Int. J. Appl. Eng. Res., 2015.
M. A. Khan and K. M. Shahriar, “ASTERISK Based Open Source IP-PBX System for Accountable Customer Support Service,” in Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015, 2016.
M. Maar, J. Sitarova, and M. Orgon, “Enterprise network with software Asterisk PBX based on the PLC technology,” Int. J. Adv. Telecommun. Electrotech. Signals Syst., 2017.
V. V Maksimov, N. S. Panasyuk, and S. A. Chmyhun, “Development of interactive voice response models based on IP-PBX Asterisk,” in 2013 23rd International Crimean Conference “Microwave & Telecommunication Technology,” 2013.
J. B. Plaza, “Implantación de un sistema VoIP basado en Asterisk Director : José María San Agérico,” Universidad Politécnica de Valencia, 2009.
K. Walpole, Ronald; Myers, Raymond; Myers, Sharon; Ye, Probabilidad y Estadística para Ingenierías y Ciencias, Novena Edi. Mexico: Pearson, 2012.
M. Mandjes and A. Ridder, “Large deviations approach to the transient of the Erlang loss model,” Perform. Eval., 2001.
M. D. Logothetis and I. D. Moscholios, “Teletraffic models beyond Erlang,” in 10th International Conference, ELEKTRO 2014 - Proceedings, 2014.
S. Zhang, D. Yin, Y. Zhang, and W. Zhou, “Computing on Base Station Behavior Using Erlang Measurement and Call Detail Record,” IEEE Trans. Emerg. Top. Comput., 2015.
T. Renier, H.-P. Schwefel, M. Bozinovski, K. Larsen, R. Prasad, and R. Seidl, “Distributed redundancy or cluster solution? An experimental evaluation of two approaches for dependable mobile internet services,” in Lecture Notes in Computer Science, 2005.
K. S. Chava and J. Ilow, “Integration of open source and enterprise IP PBXs,” in Proceedings of the 3rd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, TridentCom 2007, 2007.
“Asterisk config extensions.conf - VoIP-Info.” [Online]. Available: https://www.voip-info.org/asterisk-config-extensionsconf/. [Accessed: 29-May-2018].
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