Prof. V. Dhar

Lecture
Oesterreichisches Forschungsinstitut fuer Artificial Intelligence (OeFAI)
                      Schottengasse 3, A-1010 Wien
                       Tel.+43-1-53532810,5336112
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                                VORTRAG
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Prof.Dr.Vasant DHAR
New York University
New York, N.Y.


The Intelligent Customer Support Function:
Minimizing Customer Downtime and Dissatisfaction
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A common challenge facing the customer support function in business
organizations is the effective allocation of personnel to tasks so
that the loss of value by the firm due to customers' "down time" is
minimized. But this alone won't insure that customers are happy. We
need to be concerned with minimizing dissatisfaction due to the 
timeliness of support. In practice, this is complicated by numerous 
issues. The customer support administrator needs to consider the 
priority of the various tasks in the queue. Is a problem a severe one 
that seriously prevents a user from doing her job, or is it a less 
serious problem that is more of an inconvenience? The administrator 
must also consider how long will it take to resolve a particular task 
and how this impacts the support function's ability to service other 
users. The ability of the various customer service representatives to 
perform the various tasks will also impact schedule design. All 
things being equal, it makes little sense to have a highly experienced
technician perform a relatively simple task while a more complex task 
remains undone because the other (idle) technicians do not have the 
skills to perform it. On top of all of this, the administrator also 
needs to consider the amount of time that a given task has been
outstanding. The longer a problem, even a minor one, is outstanding, 
the more dissatisfied a user will be resulting a loss of goodwill.

I shall present an "intelligent" solution to the problem that combines
a genetic algorithm as the task assignment engine with a standard
problem tracking system. The system is currently in routine use at
Moody's Investor's Service where it supports the help desk function.
It has been a resounding success, showing how Artificial Intelligence
techniques can be integrated with conventional technologies to yield
powerful and practical systems.


Zeit: Dienstag, 23.Mai 1995, 18:30 Uhr pktl.
Ort:  OeFAI, Schottengasse 3, 1010 Wien 1.