In the evolving landscape of digital workplaces, efficient field service operations are critical to ensuring reduced downtime and high productivity with faster resolutions. Now more than ever, organizations are looking for effective ways to enhance field services. One such way is the shift-left approach using augmented reality (AR).
Evolving expectations in field service management
The field service management industry is growing. Its estimated market size of $3.24 billion (USD) in 2021 is expected to reach $8.06 billion in 2028, at a CAGR of 13.9%. At the same time, the industry has undergone massive changes over the last few years as the pandemic restricted in-person field service visits. To adapt to these changes, organizations have invested in emerging technologies such as artificial intelligence (AI), machine learning (ML), and augmented reality (AR) for remote service and predictive maintenance.
The adoption of advanced technologies is expected to drive industry growth, yet many organizations still follow a traditional approach to field services which is riddled with challenges that create problems for customers, the organization, and the field agents. Learning gaps between technicians, the dispatch of wrong equipment, and a shortage of experienced staff can increase the mean time to repair (MTTR), adding to customer frustration. In 2021, the cost of an hour of unplanned server downtime exceeded $300,000 for 91% of enterprises, and 44% of large enterprises claimed that one hour of unexpected downtime could cost their organization more than $1 million.
To remediate the problems associated with a traditional field services approach, organizations can adopt capabilities to enable lower-level employees (L1) to do the work typically done by higher-level employees (L2, L3). This is called a shift-left approach.
Why shift left?
A shift-left approach essentially brings processes, technologies, and experts closer to the customer, supporting self-service, optimizing processes, and increasing efficiency.
- Saves time and money by eliminating waste calls and unnecessary field visits
- Improves end-user satisfaction by helping customers solve issues faster and more effectively, which in turn decreases support costs
- Frees up the skilled workforce for tasks that require their expertise