Kat Hutcheson.

How to run an AI-first operation

The old CPG playbook isn't worth automating.

I’m Kat Hutcheson. More than a decade in global supply chain, most of it at PepsiCo, with data science at the University of Chicago. Now Head of Operations and Strategy at oac snacks, a 4-person CPG startup in Cork, where agents I built run the supply planning, the Shopify data stack, and the daily ops reporting. Live, every day, against a real P&L.

You can run those same systems in your own business: as a kit you install yourself, or installed with me. I also take on advisory and run AI ops workshops for small and medium-sized teams. The old playbook assumed big teams and big budgets. I’m rewriting it for companies that have neither.

See the agents Work with me

The agents

Two systems I run at oac every day. What you’re getting is the planning judgement inside them, learned over a decade in global supply chain, most of it at PepsiCo, and rebuilt for brands that run on Shopify and spreadsheets, no ERP required. Coming first as self-install kits you own, with done-with-you installs for teams that want me in the room.

Replenishment planning

Supply Planning Agent

Coming soon

You find out about a stockout after it's happened. This agent owns replenishment planning: demand run-rates, inventory positions, reorder signals, and out-of-stock flags before they cost you a stockist.

Join the waitlist → Master data for commerce

Shopify Ops Starter

Coming soon

Your SKUs, costs, barcodes and vendors live in four places and disagree. This agent is the single source of truth behind your store: master data kept clean and reconciled across Shopify, trade sheets and invoices, ready for every automation you build.

Join the waitlist →
Work with me
  • Strategy consult €200
  • AI for Ops training
  • Speaking
Get in touch

The build library

The builds behind the products, with the actual code, a leverage rating out of 10, and where each one failed. If you're wondering whether I can actually build this, start here.

  1. 03 3 July 2026

    oac's brain, part 1: the data layer

    Every agent I run sits on the same data layer: one Google Sheet workbook as the single source of truth, fed by scheduled Python syncs with health checks. Here's how I wired Shopify, Klaviyo, subscriptions, inventory and finance into it without paying for five APIs, and what failed first.

    Read the build →

    data foundationsautomationagents

    Leverage 6/10
  2. 02 11 June 2026

    Free replacements were quietly wrecking my numbers

    A lost parcel means a free replacement. Process it wrong and it lies to every system: pads orders, tanks AOV, tells your demand model you sold what you gave away. Here's the tagging standard and the skill that does it right.

    Read the build →

    customer opsfinanceautomation

    Leverage 3/10
  3. 01 5 June 2026

    My daily briefing, and how it's changed three times

    Every morning an agent writes me a briefing before I'm at my desk: what needs action, what's slipping, what to prep. It started as a glorified summary. Here's how it became something I actually run my day on.

    Read the build →

    reportingautomationagents

    Leverage 4/10
Browse all builds →