7+ Average Handle Time Definition: Quick Guide

average handle time definition

7+ Average Handle Time Definition: Quick Guide

The duration representing the mean length of a customer service interaction, encompassing talk time, hold time, and any related tasks completed by the representative after the call but directly related to the interaction. For instance, if a call center handles 100 calls in a day, totaling 5000 seconds of talk time, 1000 seconds of hold time, and 2000 seconds of after-call work, the calculation would involve summing these durations and dividing by the number of calls. This results in a metric, expressed in seconds, indicating the typical time investment per interaction.

This metric serves as a crucial performance indicator for contact centers, impacting resource allocation, staffing strategies, and cost management. Historically, tracking this value has allowed businesses to optimize operational efficiency and improve customer satisfaction by identifying areas for process improvement. Monitoring fluctuations can highlight training needs, system inefficiencies, or procedural bottlenecks that affect service delivery. Its implications for forecasting workloads and ensuring adequate staffing levels are substantial.

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AI & GDS: Can AI Handle Complex PNR Queries Now?

can ai handle complex pnr/gds queries

AI & GDS: Can AI Handle Complex PNR Queries Now?

Passenger Name Record (PNR) and Global Distribution System (GDS) queries are fundamental to travel industry operations. These queries retrieve, modify, and manage reservation data, including flight schedules, passenger details, ticketing information, and ancillary services. A complex query might involve searching for multi-leg itineraries with specific fare classes, applying corporate discounts, or managing group bookings with diverse travel requirements.

Automating these processes offers significant advantages. Efficiency gains are realized through faster processing times and reduced manual intervention. Accuracy improvements minimize errors and ensure data integrity. Furthermore, cost savings are achieved by optimizing resource allocation and reducing the need for extensive staff training. The capability to rapidly adapt to changing travel conditions and customer preferences enhances overall operational agility and customer satisfaction.

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