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loopaiplatform
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loopaiplatform
@loopaiplatform
Unlocking value trapped in operations powering the physical economy.
San Francisco, Chicago, FL, NY
loop.com
Joined February 2026
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  • user avatar
    loopaiplatform
    @loopaiplatform
    Jun 22
    We just recently hosted our first customer conference and the one thing we heard time and time again came down to, "how do we get our people to adopt this change?"
    user avatar
    Prakash
    @8teAPi
    Jun 17
    "The limiting factor for AI in enterprise is not technology" Matt McKinney, CEO of Loop, argues enterprise AI is blocked by culture, and that manufacturing will adapt better than services. "The limiting factor for AI in enterprise is not technology. It's change management."
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  • loopaiplatform reposted
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    Prakash
    @8teAPi
    Jun 17
    "the exception is the rule" Matt McKinney, CEO of Loop, says supply-chain work is dominated by exceptions, which is why his company built an exception agent. "There were literally 20, 30 people a week processing these types of exceptions" "By resolving exceptions in minutes
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  • loopaiplatform reposted
    user avatar
    Prakash
    @8teAPi
    Jun 17
    "Labor will be commoditized" Matt McKinney, CEO of Loop, argues AI will wipe out routine labor, but reward people who keep climbing into higher-value work. "Labor will be commoditized as we know it. Talent will never be." "They're outrunning the tokens in the system."
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    2.1K
  • loopaiplatform reposted
    user avatar
    FreightWaves
    @FreightWaves
    Jun 9
    Loop CEO Matt McKinney highlights the number one pain point in supply chain: untrusted data. When 60% of critical information is offline, how can AI truly deliver? This is where the biggest opportunity lies.
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  • user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    Replying to @loopaiplatform
    The result: a feedback loop where every edge case we encounter makes the next one easier to handle. New carrier formats, new invoice layouts, new extraction quirks; they surface, get diagnosed, and get addressed. Without someone manually noticing each one.
    24
    user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    Our engineer Henry Knoll walks through the full system, including how the failure grouping mechanism works and what comes next. loop.com/engineering-bl… #supplychain #AI
    loop.com
    Teaching LLMs the Supply Chain: Entity Context Rules and Failure Analysis
    How we teach LLMs the unintuitive, entity-specific knowledge that supply chain auditors know by instinct. A look at entity context rules and failure analysis, two systems that work together to close...
    24
  • user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    Replying to @loopaiplatform
    Our solution: entity context rules. Natural language instructions tied to a specific entity and task type, injected into the LLM prompt only when relevant. "For invoices from [issuer], the year is often wrong. Infer the correct one from context."
    18
    user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    When automation gets something wrong or leaves a task unanswered, we persist that as a failure instance. Over time, similar failures cluster. An agent evaluates each cluster for a shared root cause. If it finds one, it proposes a fix: a new rule, a prompt update, a system
    16
  • user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    Replying to @loopaiplatform
    But reactive rule-writing only works if someone notices the problem first. We needed a way to surface gaps automatically, before a human catches the same mistake for the hundredth time. That's what failure analysis does.
    11
  • user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    Replying to @loopaiplatform
    The core problem: LLMs are good general reasoners. But logistics data is full of entity-specific, unintuitive knowledge that isn't in any training set. It lives in the heads of people who've spent years working with specific carriers and invoice formats.
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  • user avatar
    loopaiplatform
    @loopaiplatform
    May 7
    LLMs don't know that one carrier's "Document Charge" is actually a cross-border processing fee. Or that a specific invoice issuer always writes the wrong year on the date field. Experienced auditors know this. Our models didn't... at. first. Here's how we closed that gap: 🧵
    16
  • user avatar
    loopaiplatform
    @loopaiplatform
    May 4
    Today we launched the Logistics Data Platform. Here's the problem it solves—and why we went this route to solve it. 🧵
    44
    user avatar
    loopaiplatform
    @loopaiplatform
    May 4
    Replying to @loopaiplatform
    The companies already running on it: A Fortune 100 food company surfaced $9M in previously invisible inbound costs. 95% touchless invoice automation in 30 days. A fast growing jewelry brand’s Finance, Transportation, and Ops teams operate from one source of truth.
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    user avatar
    loopaiplatform
    @loopaiplatform
    May 4
    We raised $95M last month to expand the platform across the full supply chain — POs, warehouse, customs, ERP, TMS. The Logistics Data Platform is where that starts. Learn more:
    Twitter
    Loop Launches the Logistics Data Platform Powered by New AI Capabilities
    From businesswire.com
    27
  • loopaiplatform reposted
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    Matt McKinney
    @mattlmckinney
    Apr 17
    Article cover image
    Article
    Building the intelligence layer of the supply chain
    Today we're announcing that Loop has raised $95 million in Series C funding, led by Valor Equity Partners and the Valor Atreides AI Fund, with participation from 8VC, Founders Fund, Index Ventures,...
    5.1K
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