Chewy is deploying AI across customer service, pharmacy operations, fulfillment and marketing workflows with the explicit goal of reducing cost-to-serve whilst maintaining or improving service quality. The company has invested in foundational infrastructure over several quarters and expects low tens of millions in fiscal 2026 benefits, with more substantial contributions anticipated from 2027 onwards. Beyond transactional support, Chewy is embedding AI-assisted tools into veterinary operations to drive productivity metrics and employee retention—a strategic move that addresses structural labour shortages in the veterinary sector. The company is also optimising digital advertising bidding algorithms to improve customer acquisition efficiency, positioning AI as a lever across both revenue and cost dimensions.
The implications for CX teams are twofold. First, Chewy's phased approach—building infrastructure before scaling impact—suggests that organisations pursuing similar AI deployments should expect a lag between implementation and measurable ROI, particularly in cost reduction. This timeline matters for teams justifying investment to finance and operations. Second, Chewy's emphasis on embedding AI into specialist workflows (veterinary services, pharmacy) rather than treating it as a generic customer service overlay demonstrates that vertical-specific AI applications can create competitive moats. For support leaders evaluating whether to adopt general-purpose agentic platforms like Agentforce or Fin, Chewy's model raises a critical question: does your organisation have domain-specific operational challenges where AI can drive both efficiency and employee satisfaction, or are you primarily seeking to reduce headcount in commodity support functions?
Chewy's strategy also reveals a tension worth monitoring. The company is simultaneously pursuing cost reduction and service quality improvement—a claim that requires scrutiny. If AI-driven efficiencies materialise primarily through automation of routine interactions, support teams should prepare for role redefinition rather than simple headcount reduction. The veterinary operations example is instructive: AI enhanced productivity without replacing veterinarians, suggesting that the most sustainable implementations augment rather than displace skilled labour. For CX professionals, this signals that the competitive advantage lies not in AI adoption itself, but in how thoughtfully it's integrated into existing workflows and whether it genuinely improves the employee experience alongside customer outcomes.
How is Chewy Using AI to Improve Customer Experience & Efficiency? TradingView