customer_support · ecommerce · workflow
2026 AI Consumer Trends: What Consumers Really Think About AI
One-size-fits-all AI experiences are falling flat as consumers hold widely different AI comfort zones—from daily enthusiasts to complete holdouts—leaving brands uncertain which tactics will resonate with which audience.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Consumer initiates AI-assisted query
More than 1 in 5 consumers now start with LLMs when they want to make decisions, learn new things, or solve problems.
Tools used
LLMs
Outcome
Brands deploying AI for customer service have seen measurable results: Folk Clothing resolved over 50% of support queries with AI in a 90-day period, Ministry of Supply resolved 84% of product recommendation chat queries in 90 days, and Harney & Sons reduced average ticket resolution time by 20% with AI.
Results
Time saved60%
Volume13%
Grounding & classification
Source type: listicle or blog summary
35 fields verified against source quotes.
conversational airecommendation systemsupport agentchat transcriptsupport ticketmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedecommerceretailautomation ratedeflection rateresolution time reductionlisticle or blog summarycustomer supportecommerce opsautonomous resolution