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          © 2025 NiCE
          Double impact: How 4 top brands are leveraging AI in customer service to elevate sustainability & business performance

          Double impact: How 3 top brands are leveraging AI in customer service to elevate sustainability & business performance

          by Rebecca Boykin
          April 18, 2025
          Share

          This Earth Month, it’s becoming crystal clear that companies mastering digital service platforms and business automation are achieving the operational efficiencies necessary to turn service excellence into broader environmental impact.

          How are they reaching that threshold? Energy efficiency can equal business efficiency with the right combination of end-to-end AI-enhanced customer service.

          Let’s highlight Earth Month with some prime examples of brands supporting sustainable efforts—and doing so while leveraging AI-driven customer service technology for extraordinary business performance.

          A power plant engineer inspecting solar panels.

          Solar power leader shines light on helping employees unleash potential

          Technology that backs up the heart of your enterprise: Your employees

          Sunrun, the nation’s leading home solar, storage and energy services company, wanted to collect more data around outbound calling.

          The company quickly recognized its employees as the center of the organization and wanted to pursue ways to help them focus on what matters most: high-skill, high-value tasks. By doing so, it could help unleash their potential to create unforgettable experiences for customers.

          Key goals included:

          • Determining its contact rate
          • Measuring success in calling potential customers
          • Maintaining appropriate staffing levels

          Leveraging the industry’s leading performance management tools made it possible to give agents important feedback on their performance. Using dashboards, agents had immediate access to real-time KPIs.

          Now the solar company can leverage AI-powered guidance and automation with advanced workforce engagement capabilities that back up agents in innovative and intuitive ways. It uses artificial intelligence and machine learning technology to anticipate business demands and optimize its workforce—more intelligently and more accurately with an omnichannel forecasting engine.

          The intuitive look and feel allows a company to get its workforce management up and running fast, making it easier to manage forecasts and schedules. If a change is needed, the solution offers flexibility to follow the pace of intraday insights and reforecasting capabilities.

          Onboarding a new workforce management solution resulted in:

          • Increasing occupancy rate to 90%, or the percentage of time agents spend dealing with customers compared to their total available time (Marking an increase from 60%).
          • Achieving goals on service level, abandon rates and speed-to-dial KPIs.
          Electric vehicle using sustainable source, wind generator.

          How EV pioneers are electrifying customer experience through tech innovation

          Amped up: Automation at scale surges beyond expectations

          Seeing its electric vehicle sales nearly double in the first three months of 2025, a major U.S. car maker is finding success with the latest CX technology.

          The American multinational automotive manufacturing company automated customer service at scale and saved countless employee hours—freeing up its IT department for tasks other than password changes.

          AI bots and human agents can work together—seamlessly transferring conversations and context between them and orchestrating interactions. This impacts the customer like a continuous cycle of service.

          At the center are learning systems that consistently improve—refining understanding and effectiveness with each customer engagement. The result is a partnership that produces measurable, concrete improvements in efficiency, satisfaction and business outcomes.

          With the customer service operations in the cloud, they reap the additional benefits of saving IT hours of time managing servers. They can devote more time to high-level work rather than more basic tasks that automation could absorb, such as changing passwords.

          Meeting sustainability goals while increasing agents’ soft skills is exactly what a U.S. leader in recycling and waste disposal services is achieving by adding more EVs to its fleet to reduce emissions and help meet sustainability goals.

          In adopting modern customer service technology, the company can more accurately and efficiently measure, assess and improve customer sentiment, as well as increase agents’ soft skills.

          Derived from 20-plus years of industry experience, the most comprehensive and expansive interaction database in the world is delivering results.

          Agents’ soft skills can now be more objectively reported and benchmarked. Agents receive performance reports in an easy-to-understand, color-coded format several times a week, supporting a culture of continuous improvement.

          As a result of the new technology, the company hit crucial business goals:

          • 30% reduction in repeat calls
          • 33% decrease in negative customer sentiment
          • 120% increase in the number of coached actions in just three months post-go-live

          One platform for total orchestration

          These pioneers in sustainability have demonstrated that embracing cutting-edge AI-powered customer service solutions can simultaneously help the planet with green technology and revolutionize their bottom line with innovative CX.

          CXone Mpower drives intelligent automation that redefines end-to-end customer service. On one AI platform, enterprises can unify workflows, empower agents and centralize knowledge.

          The result is unified end-to-end customer service with zero silos and 100% service transformation at scale.

          Start discovering the benefits of an AI platform for orchestrating customer service workflows, agents, and knowledge at unmatched precision and scale.

          About the Author

          Rebecca Boykin

          Rebecca is a Marketing Communications Manager at NiCE focused on blog editorial planning and marketing content development. With more than 20 years of experience in journalism, public relations and corporate communications, Rebecca loves telling a great story.

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          “With dashboards, agents can see their important KPIs in real-time. We’ve also built dashboards for directors and managers—they get a higher-level view of arrival patterns, performance and a real-time view of how their agents are doing.”

          Contact Center Operations Manager, Sunrun

          “We were putting our employees through a lot of pain, because we were moving their schedules, sending them home early, etc. We now have an integrated solution for forecasting schedules based on historical call volumes, so we are much less reactive... And our employees are happier, because we’re not changing their schedules so frequently or moving their shifts around.”

          Contact Center Operations Manager, Sunrun

          “We handle emergency calls, we handle calls from vehicles. We needed to make sure that the functionality that we enjoy today was in the new platform, and of course, we wanted to take advantage of the emerging technologies that were coming out, such as AI, text-to-speech, or real-time transcription.”

          Amy Handlan
          Call Center Engineer, General Motors

          “Our service challenges are often region-specific. For example, one market may be struggling with retention, and another might be having trouble with bulk pick-ups, so the ability to identify and proactively target queries at a regional level has been incredibly helpful.”

          Senior Customer Service Manager, Republic Services