Midathana, Sekhar (2025) Maximizing field service efficiency with salesforce field service: A comprehensive analysis. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 871-877. ISSN 2582-8266
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Abstract
This article explores the transformative potential of Salesforce Field Service as a comprehensive solution for organizations dispatching technicians to customer locations. The global field service management landscape is experiencing profound evolution as customer expectations rise and mobile workforces expand. Salesforce Field Service emerges as a leading platform that addresses these challenges through intelligent scheduling, mobile applications, resource optimization, and real-time monitoring capabilities. Digital engagement tools including customer portals, automated communications, and unified service views create substantial operational efficiencies while enhancing customer experience. Advanced analytics capabilities enable organizations to gain actionable insights, establish performance benchmarks, and leverage predictive maintenance to anticipate service needs before customer impact occurs. Successful implementation requires strategic planning, process assessment, phased deployment approaches, data integration planning, and comprehensive change management. Through detailed exploration of these multifaceted capabilities, the article provides a comprehensive framework for organizations seeking to transform field service operations through strategic deployment of Salesforce Field Service, contributing to operational excellence, enhanced customer satisfaction, and sustainable business growth in an increasingly competitive service landscape.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.1.0314 |
Uncontrolled Keywords: | Field Service Management; Salesforce Field Service; Digital Engagement; Service Analytics; Predictive Maintenance; Implementation Strategy |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:10 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2837 |