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InstaLILY Research

Shared Risk: Why Supply Chain's Most Sensitive Data Needs AI Built for the Industry

We surveyed 250 supply chain and distribution managers on how far AI already reaches into their pricing, rebates and account history.

Cover of the Shared Risk report
Key findings

A preview of what respondents reported.

  • 78%

    say their company's AI tools can access customer pricing and margins.

  • 16%

    report an incident in the past 12 months where supplier or customer data was exposed, shared or accessed incorrectly through an AI tool.

    Self-reported. The survey does not measure how serious these incidents were.

  • 90%

    say their company would be more likely to choose AI built for distribution and supply chain over a general-purpose tool if it offered better control over supplier and customer data.

Inside the report

What you will learn.

  1. Which sensitive records AI can already reach
  2. Why high confidence still needs testing
  3. How data questions shape vendor choices
  4. The top barriers to keeping data separate
  5. Six questions to ask before expanding AI

Get the full report

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Methodology

Conducted through Pollfish, launched October 9, 2026, with 250 completed responses. Respondents identified their industry as supply chain, logistics, distribution or wholesale, held a role at manager level or above, and confirmed their company uses AI tools, including AI features built into existing software, in daily operations.

Results reflect respondents' knowledge, perceptions and reported experiences. They are not an independent audit of company systems, data controls or incidents, and should not be read as estimates for all businesses in these industries. Segment comparisons are descriptive and were not tested for statistical significance.