97% of Corporations Have Moved Past Pilots

Report identifies what separates leaders from laggards in AI-powered PIM

 Inriver, the premier answer for managing and optimizing product experiences throughout the digital commerce ecosystem, launched a brand new world analysis report, AI: From Experimentation to Execution – The State of AI in Product Data Administration. Drawing on insights from 317 world product, advertising, and know-how executives, the report uncovers how AI is being built-in into product content material workflows, the place it delivers worth, and the way firms steadiness danger, belief, and efficiency.

“This analysis confirms what we see throughout our buyer base daily: AI is now not theoretical. It’s embedded into how organizations join, scale, and optimize product information throughout their ecosystems,” stated Rohit Goyal, CEO of Inriver. “However adoption shouldn’t be the identical as success. AI’s actual energy isn’t novelty—it’s momentum for our prospects. Our prospects are weaving clever brokers into workflows, increasing syndication, and pairing each choice with digital-shelf perception. They’re launching merchandise sooner and incomes belief at each touchpoint. What units them aside is not only their use of AI for operational effectivity, however how intentionally they apply it to drive belief and measurable impression.”

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Key Findings from the Analysis:

• 97 % of respondents have moved past AI pilot packages
• 83 % have built-in AI into a number of techniques and workflows
• 87 % report elevated buyer belief in product content material since adopting AI
• Over 80 % are seeing average to vital income features from AI

The info reveals that whereas AI adoption is sort of common, its implementation is way from uniform. Inriver’s analysis recognized three principal self-reported approaches: 50% of firms depend on structured human oversight, 24% use autonomous AI for focused duties, and 26% mix automation with human checkpoints.

No matter maturity, the prevailing theme is that this: considerate governance and accountability are non-negotiable. In actual fact, 50% of firms nonetheless apply direct human oversight to AI workflows, and 68% say buyer belief have to be earned—not assumed. These findings counsel that organizations acknowledge they can’t commerce belief for effectivity.

Buyer Belief Is Rising with Accountable AI

The analysis reveals a transparent pattern: as organizations combine AI into their product data workflows, buyer belief is rising. 87 % of respondents report elevated buyer belief of their product content material, with many seeing significant features in engagement and satisfaction. This progress displays a broader shift in how manufacturers are utilizing AI—not simply to generate content material, however for structured information enrichment, validation, and efficiency analytics—to ship richer, extra constant product experiences.

Whereas 68% of respondents nonetheless depend on oblique measures comparable to CSAT scores to evaluate belief, the following part of AI maturity shall be outlined by extra intentional, outcome-based benchmarks. As AI turns into central to product information methods, companies are investing in methods to higher perceive and quantify its impression on buyer relationships.

Regional and Sector Benchmarks Reveal Diverse Methods

The report additionally highlights vital geographic and industry-specific variations in AI technique. U.S. firms are considerably extra more likely to report autonomous AI adoption and prioritize operational effectivity, whereas European respondents lean towards built-in AI with human oversight, reflecting a stronger emphasis on information governance. Moreover, sectors comparable to manufacturing and e-commerce are additional alongside in integration, whereas retailers and distributors stay extra cautious. Full findings by area and {industry} can be found within the full report.

“This isn’t a one-size-fits-all journey,” added Goyal. “We’re serving to ship these capabilities to our prospects by means of steady innovation. Encourage, Inriver’s AI-powered assistant, is built-in all through the product, working within the background to onboard, generate, and refine content material and distribution at scale. Successful with AI means aligning technique with your enterprise realities. The purpose shouldn’t be perfection, however worthwhile progress, pace, and belief.”

The findings reinforce Inriver’s core perception: controlling the product information present is what allows enterprise groups to ship the appropriate product experiences throughout each touchpoint. By connecting techniques, scaling effectively, and repeatedly optimizing with AI and digital shelf insights, companies can rework complexity into progress.