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Samsung marks 30 years of customer service in India with AI focus

Samsung's 30-year customer service milestone in India demonstrates a deliberate shift from reactive support infrastructure to predictive, AI-enabled care ecosystems. The company has scaled from 21 service centres in 1996 to over 3,000 touchpoints today, supported by 12,500+ engineers and 16 parts warehouses. More significantly, Samsung has moved beyond traditional contact centre operations into connected appliance diagnostics through SmartThings-enabled Proactive Care, where refrigerators and air conditioners alert customers to performance degradation before failures occur. This represents a fundamental repositioning of customer service from a cost centre responding to problems into a revenue-adjacent function that shapes product perception and loyalty. The infrastructure investments—multilingual voice support across 10 languages, WhatsApp integration, remote diagnostics, and digital-first platforms—reflect how established hardware manufacturers are building proprietary CX stacks rather than relying solely on third-party platforms.

The strategic emphasis on AI-driven tools including intelligent co-pilots, speech-to-text systems and sentiment analysis suggests Samsung recognises that scale alone no longer differentiates service quality in competitive markets. Yet the question worth examining for CX leaders is whether this model—where predictive care reduces inbound volume whilst simultaneously demanding more sophisticated backend analytics—creates a two-tier support experience. Teams managing high-touch, complex issues may find themselves under-resourced as organisations optimise for automation metrics, particularly in markets where predictive diagnostics haven't yet achieved saturation. Samsung's investment in skilling 14,500+ engineers through partnerships with ITIs and internal academies indicates the company understands that AI augmentation requires fundamentally different competencies from traditional support staff, shifting hiring and training models away from transaction handling toward diagnostic reasoning and empathetic escalation management.

The sustainability angle—integrating e-waste recycling into the care ecosystem—reveals how mature CX operations are now embedding circular economy principles into customer touchpoints. This moves beyond operational efficiency into brand narrative, where service interactions become opportunities to reinforce corporate values. For teams already operating within platforms like Salesforce or Zendesk, Samsung's approach raises a practical consideration: whether the next competitive advantage lies in building vertical-specific intelligence layers atop generic CX platforms, or whether the cost of maintaining proprietary systems at scale justifies the investment only for enterprises with Samsung's installed base and product complexity.