Retail & E-Commerce
Order Tracking, Returns, Personalized Outreach
Retail and e-commerce were early and enthusiastic adopters of AI-powered customer service — initially via chat and web, now increasingly via voice. The use cases are high-frequency, transactional, and well-suited to automation.
Market size: The global voice AI for retail market is valued at $1.8 billion in 2024, projected to reach $16.1 billion by 2034 at a CAGR of 24.5%. E-commerce retailers hold the largest end-user share within this market at 34.4%. [2]
$1.8B → $16.1B
Voice AI for Retail Market (2024–2034) — 24.5% CAGR
Adoption context: Retail AI investment is expected to reach $31 billion by 2028. Already, 97% of retailers plan to increase their AI spending in the next fiscal year. [32] The case is being made at the CX level: AI-driven conversations accelerate purchases by 47% and increase conversion rates by 4x. [32]
97% of retailers plan to increase AI spending. Retail AI investment is expected to reach $31B by 2028. AI-driven conversations accelerate purchases by 47% and increase conversion rates by 4x.
Core use cases:
- Order tracking and delivery updates: "Where is my order?" remains the single highest-volume inbound query in retail customer service. Voice AI handles these calls completely autonomously — pulling order status from backend OMS systems and delivering a natural-language response. In mature deployments, this query type is fully automated, freeing agents for exception handling.
- Returns and exchange processing: Voice AI agents can guide customers through return eligibility checks, generate return labels, and trigger refund workflows — without agent involvement. One major U.S. retailer automated its entire returns IVR, reducing agent handle time on returns calls by 60%.
- Personalized outreach: Outbound voice AI campaigns are being used for cart abandonment reminders, loyalty milestone outreach, and reactivation of lapsed customers. 74% of consumers using voice-based AI have completed some part of the retail buying process with a conversational voice assistant. [33]
Real-world example: Walmart's integration with Google Assistant enables customers to reorder items, track deliveries, and manage their grocery lists via voice — a production-scale deployment that handles millions of interactions. Separately, mid-market e-commerce retailers have deployed outbound voice AI for post-purchase check-ins and review solicitation, achieving open rates and engagement levels that outperform email significantly.