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What are the common challenges consumer brands face when implementing AI solutions for customer service?


Many consumer brands underestimate that AI implementation is primarily a business transformation project rather than a technology project, so poor data quality, disconnected systems, and ambiguous objectives limit success. AI models also require continuous training to reflect changing products, policies, and customer behavior, and without proper governance and human oversight, automation can create inconsistent customer experiences. Successful implementation depends on cross-functional collaboration and ongoing optimization instead of a one-time deployment.