Samsung's 30-year customer service evolution in India demonstrates the trajectory most mature CX operations are now navigating: from reactive, manual support to AI-enabled predictive care. The company's progression from handwritten logbooks and pagers in 1996 to 3,000+ service touchpoints, 12,500+ engineers, and AI-powered diagnostics today mirrors the infrastructure modernisation that CX teams are undertaking across platforms like Zendesk and Salesforce. What distinguishes Samsung's approach is the deliberate integration of predictive capabilities—SmartThings-enabled proactive alerts that notify customers before service failures occur—rather than simply automating existing reactive workflows. This shift from "support when something breaks" to "support before something breaks" represents a fundamental reframing of customer service's role within the business. For teams already managing large distributed networks, the question becomes whether your current tooling and team structure can support this transition, or whether you're still optimising for ticket volume rather than issue prevention.
The infrastructure Samsung has built—16 parts warehouses, multilingual voice support across 10 languages, WhatsApp integration, remote diagnostics, and sentiment analysis tools—reveals the operational complexity required to scale AI-driven care across geographically dispersed markets. Critically, Samsung invested heavily in human capability alongside technology, training 14,500+ service engineers through partnerships with ITIs and internal academies. This dual investment suggests that the vendors winning in 2026 are those enabling teams to augment rather than replace expertise. For CX leaders evaluating whether to prioritise headcount reduction or capability expansion, Samsung's model indicates that sustainable competitive advantage comes from combining AI-powered efficiency with deeper human skill development. The integration of sustainability into the care ecosystem—through e-waste recycling programmes—also signals that modern customer service is becoming a broader stakeholder function, not merely a cost centre.
The strategic implication for your teams is that Samsung's success hinges on treating customer service as a core business differentiator rather than a support function. The company's ability to move from 21 service centres in 1996 to a connected ecosystem today wasn't driven by technology adoption alone, but by embedding customer trust into every operational decision. For CX professionals, this raises a harder question: are your current metrics and KPIs measuring what actually drives customer lifetime value—trust, reliability, and proactive problem-solving—or are they still anchored to legacy measures like resolution time and first-contact resolution? If the latter, your AI investments may be optimising the wrong outcomes.
From Logbooks to AI-Powered Care: Samsung Marks 30 Years of Customer Service in India samsung.com