46% of Supply Chain Teams Still Use Spreadsheets. A Computer Use AI Agent Should Make You Furious About That.

The Supply Chain Is Drowning in Busywork Nobody Wants to Admit

Here's what a typical supply chain workflow actually looks like inside a mid-size company in 2025. Someone pulls an inventory report from one system. They manually enter numbers into a spreadsheet. They email that spreadsheet to three people. One person reformats it and uploads it to a different platform. Someone else checks it against a supplier portal, manually. A purchase order gets generated, manually. Then someone copies that PO into an ERP system, manually. At every single one of those handoffs, there's a chance for a typo, a missed field, a wrong SKU, a delayed shipment, and an angry customer. Research from Anchor Group found that 39% of food and beverage supply chain companies experience data entry errors from manual workflows. Thirty-nine percent. That's not a rounding error. That's a structural failure. The real insult is that every one of those manual steps is automatable right now, today, without ripping out your existing software stack. That's what a computer use agent actually does. It doesn't need an API. It doesn't need your IT team to build an integration. It sees the screen, reads the data, and acts. Just like a human would, except it doesn't get tired, doesn't make typos, and doesn't quit after six months.

Why RPA Failed Supply Chain Teams (And Why Everyone Pretends It Didn't)

The dirty secret of the last decade is that traditional RPA, the UiPath-and-friends era of automation, promised to fix exactly this problem and mostly didn't. Not because the idea was wrong. Because the execution was brutal. Classic RPA bots are fragile. They're built on rigid selectors that break the moment a UI updates. They require specialized developers to build and maintain. They can't handle exceptions, so when a supplier portal changes its layout, the bot crashes and someone has to manually fix it while the backlog piles up. The maintenance costs alone often ate the ROI whole. Companies spent millions deploying RPA across their supply chain operations and ended up with a fleet of brittle bots that needed babysitting. That's not automation. That's just hiring a very expensive, very breakable employee. The shift to genuine AI computer use changes this completely. A computer use agent doesn't memorize a fixed sequence of clicks. It understands what it's looking at. It adapts. If the supplier portal moves a button, the agent figures it out. If a form has a new field, the agent reads it and responds. That's the fundamental difference between scripted automation and actual AI computer use, and it's why the supply chain teams that have made the switch aren't going back.

What AI Computer Use Actually Looks Like in a Real Supply Chain

• ●Automated PO processing: A computer use agent logs into supplier portals, pulls order confirmations, cross-references them against your ERP, and flags discrepancies, without a single human click.
• ●Inventory reconciliation across systems: Instead of someone manually comparing warehouse management data to finance records, the agent does it on a schedule, every hour if you want.
• ●Freight quote aggregation: The agent visits 8 carrier portals, pulls current rates, and drops a formatted comparison into your Slack channel before your logistics manager has finished their coffee.
• ●Compliance document collection: Supplier certifications, certificates of origin, safety data sheets. The agent tracks expiration dates, requests renewals, and files them, across dozens of suppliers simultaneously.
• ●Demand signal monitoring: The agent watches sales dashboards, distributor portals, and even competitor stock pages, and triggers reorder workflows when thresholds are hit.
• ●Exception handling in 3PL portals: When a shipment status goes red, the agent investigates, pulls the details, and routes a summary to the right person, no ticket required.
• ●Cross-system data sync: ERP to WMS to TMS to supplier portal. The agent handles the data movement that your team currently handles manually every morning.

The Competitor Landscape Is Messier Than the Marketing Says

Let's be honest about where the AI computer use market actually stands, because the hype has gotten ahead of the reality for most vendors. Anthropic's Computer Use is genuinely impressive as a research demo. Claude can control a desktop. But it's a capability, not a product. You're building the workflow yourself, handling the infrastructure yourself, and debugging the failures yourself. OpenAI's Operator is similar, a promising piece of technology wrapped in very little operational tooling for serious supply chain workloads. Both are great if you have an engineering team that wants to build bespoke automations. Most supply chain operations managers don't. They need something that works out of the box, runs reliably at scale, and doesn't require a PhD to configure. The benchmark that actually matters here is OSWorld, the gold standard for measuring how well an AI agent can perform real computer tasks autonomously. Claude Sonnet 4.5 scores 61.4% on OSWorld. That's the number Anthropic is proud of. It tells you something important about how much of the time these agents succeed versus fail when given real-world computer tasks. For supply chain automation, failure rates matter enormously. A bot that fails 38% of the time isn't production-ready. It's a liability.

Why Coasty Is the Obvious Answer Here

I'm not going to pretend I'm neutral on this. Coasty hits 82% on OSWorld. That's not a marketing number. That's the benchmark score, and it's higher than every other computer use agent on the market right now. When you're automating supply chain workflows, that gap between 61% and 82% isn't abstract. It's the difference between an agent that handles your freight reconciliation reliably and one that you have to babysit. Coasty controls real desktops, real browsers, and real terminals. It's not making API calls and pretending that's computer use. It's actually operating software the same way a human does, which means it works with your existing supplier portals, your existing ERP, your existing TMS, without any integration work. The desktop app is real. The cloud VMs are real. The agent swarms for running parallel workflows are real, and for supply chain teams that need to hit 50 supplier portals simultaneously, that parallelization isn't a nice-to-have. It's the whole point. There's a free tier. You can bring your own keys. You can start automating a single workflow this week and see what it does to your team's capacity before you commit to anything. That's the pitch. Not 'trust us.' Try it on your actual work and see what happens.