Modelling and analysis of e-mail management for improved customer relationship management

Customer contact centres represent a growing industry in which Customer Relationship Management (CRM) applications have been developed and used successfully. Customer call centres, a multi-billion dollar industry, are evolving into customer contact centres, which now include channels of communication other than the telephone. E-mail, a popular alternative to the telephone for all types of communication, is becoming a common medium for customer contact. CRM applications currently exist that allow us to implement and monitor e-mail management strategies. For example, incoming e-mail can be automatically routed to specific customer service agents according to predefined routing rules. The routing mechanisms available in the software tools are heuristic, and not based upon any scientific analysis of the performance of different routing policy alternatives. The objective of this paper is to study the impact of routing strategies and prioritisation of incoming e-mail messages on CRM objectives of an organisation. We create a model representative of and consistent with e-mail response centres in industry. The process modelled was corroborated by a domain expert. A comprehensive simulation study is conducted to analyse different routing policies and prioritisation options. The results of the simulation study indicate that specific routing strategies and the use of specific priority schemes by the e-mail agent can result in a significant improvement in the response centre's performance, as indicated by average response times and average resolution times of different categories of e-mail messages. Although call centre operations have been studied extensively, this study shows that performance of contact centres needs further investigation because of the greater flexibility that exists in the assignment and scheduling of e-mail processing tasks.

[1]  G. Tom,et al.  A Field Study Investigating the Effect of Waiting Time on Customer Satisfaction , 1997 .

[2]  Roger Klungle Simulation of a claims call center: a success and a failure , 1999, WSC '99.

[3]  Avishai Mandelbaum,et al.  Queueing Models of Call Centers: An Introduction , 2002, Ann. Oper. Res..

[4]  Nico M. van Dijk On hybrid combination of queueing and simulation , 2000, Winter Simulation Conference.

[5]  Oryal Tanir,et al.  Call center simulation in Bell Canada , 1999, WSC '99.

[6]  Sandeep Gulati,et al.  Call center scheduling technology evaluation using simulation , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[7]  Vijay Mehrotra,et al.  A Call Center Uses Simulation to Drive Strategic Change , 2001, Interfaces.

[8]  Sandjai Bhulai,et al.  A queueing model for call blending in call centers , 2003, IEEE Trans. Autom. Control..

[9]  V. Bapat,et al.  Case study: simulation of the call center environment for comparing competing call routing technologies for business case ROI projection , 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

[10]  B. Melamed,et al.  Models and Approximations for Call Center Design , 2003 .

[11]  Rupesh Chokshi Decision support for call center management using simulation , 1999, WSC '99.

[12]  Vivek Bapat,et al.  Using simulation in call centers , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).