Learn How Top Brands Use AI for Digital Commerce Personalization
Discover why personalization leads AI use cases in digital commerce and how marketers can use customer context to make smarter decisions.
New research ranks personalization as the top AI use case in digital commerce.
Digital commerce leaders keep pointing their AI budget at product recommendations. Gartner® research says that's leaving value on the table: recommendations at the point of conversion are only one of three moments where AI-driven personalization pays off.
Why this report matters
- Personalization is the safest AI bet you can make right now. Gartner's® own use case assessment puts it ahead of every other AI use case in digital commerce, on both value and feasibility.
- Most teams are executing only a third of the opportunity. The research outlines three distinct personalization moments (inspiration, guidance, and advice), and most brands only build for the first.
- AI is only as useful as the data it can act on. Stalled personalization efforts tie back to data that isn't structured, tagged, or connected well enough for AI to use.
"Customers are 1.8 times more likely to pay a premium for an experience that was personalized as opposed to a nonpersonalized experience."
Turn customer context into better decisions
The takeaway for marketers is bigger than choosing the right AI model. AI-powered personalization depends on having the context to understand each customer and act on what they're doing now.
That's where BlueConic comes in.
BlueConic brings customer data, AI decisioning, and cross-channel engagement together so marketers can continuously understand customers, determine the next best action, and deliver more relevant experiences across the journey.
Get the complimentary Gartner report to explore what's possible with AI-powered personalization and what it takes to put it into practice.
Gartner®, Learn How Top Brands Use AI for Digital Commerce Personalization, Ant Duffin, 8 April 2026.
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