arvato’s Muenster site opened in the year 2000. Its core business is handling customer service and technical support calls on behalf of various companies; in addition, it accepts sales orders and manages campaigns. Over 500 agents answer customer queries during arvato’s business hours, which include weekends and late evenings. At peak times, all 350 desks in the center are occupied. arvato Muenster is a multilingual operation: agents deal with customers in 18 languages. On average, approximately 10,000 inbound calls are answered each day and call handling accounts for about 95% of agents’ work. The remaining time is devoted to outbound calls and handling e-mails and faxes. The average handling time (AHT) for inbound calls is about 8 minutes. Since the fall of 2006, agents in the telecommunications and IT business unit have been focused mainly on technical support for a specific entertainment system. This is a seasonal business with peaks during the Christmas period and when new games are released. Scheduling of agents needs to take this seasonality into account.
For many years, the workforce, 30% of which is part-time and 70% full-time staff, was scheduled using a spreadsheet tool which was developed in-house. However, the planners on the Muenster site are now responsible for scheduling not only their own staff but also those at arvato sites in Tallinn (Estonia), Gurgaon (India), Casablanca (Morocco), Buenos Aires (Argentina), Malmö (Sweden), and Venlo (Netherlands). The fast growth of arvato sites and the increasing complexity meant that the spreadsheet tool increasingly failed to support the business and also consumed an unacceptable amount of planning time.
Hence, arvato services required a tool which is capable of handling the long business hours, the volatile volume of inbound calls, and the challenge of scheduling agents according to their various language skills. The coordination of the in-house carpooling agency and observing the legal requirements in each of countries where arvato is active added to the complexity.