AI & Emerging Technology

ai & emerging technology in after sales service

Applying AI where service operations actually break

This hub explores how AI and emerging technologies can improve service execution, decision-making, and customer outcomes. It focuses on practical use cases, readiness considerations, and cross-functional impact rather than isolated pilots or tool-specific features. The perspective is shaped by working with service organizations testing, scaling, and sometimes intentionally stopping AI initiatives based on data quality, process maturity, and change readiness.

Core AI Insights

Future service organization in 2030 powered by AI, smart products, and customer value, illustrating the shift from break-fix support to outcome-driven service models.

The Service Organization of 2030: Powered by AI, Led by Customer Value

By 2030, service will no longer be about fixing what’s broken – it will be about delivering continuous outcomes. For manufacturers and service leaders, this marks a profound shift. Customers won’t just buy machines; they’ll buy uptime, sustainability, and results. And in a decade defined by AI, intelligent products, and connected ecosystems, service will become…
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AI use cases improving after-sales operations through faster diagnostics, accurate service workflows, optimized parts management, and better customer support.

How AI Can (Actually) Help After-Sales Service – Beyond the Hype

Discover how AI is revolutionizing after-sales in industrial manufacturing – from complaint triage and technician scheduling to predictive maintenance and customer companion bots. This in-depth guide explores business challenges, real-world use cases, and measurable KPIs, helping manufacturers unlock efficiency, revenue, and customer satisfaction at scale.
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Featured Articles

Handpicked insights on the biggest shifts shaping after-sales and field service

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