Adding Zeroes
Before you say yes to a promotion, work out how many units it has to sell
A retailer offers 15% off the shelf for four weeks. On illustrative numbers, your margin falls from $1.50 a unit to $0.81, and you need 186 units for every 100 you sell today.
Read itThe seven levels of AI for CPG: how to move up one, whichever level you are on
What each rung looks like when it is working, what you actually get for climbing it, and what it costs you if you climb it in the wrong place.
Read itWhat should a CPG founder automate first?
Start with recurring founder drag, not the flashiest AI demo.
Read itYour weekly meeting should not start with 'which number is right?'
The reporting problem that quietly eats founder time.
Read itBefore you say yes to a promotion, work out how many units it has to sell
A retailer offers 15% off the shelf for four weeks. On illustrative numbers, your margin falls from $1.50 a unit to $0.81, and you need 186 units for every 100 you sell today.
Which Klaviyo flow email to fix first, every week
Klaviyo will not show you every flow email on one page, so most brands stop looking. One line in Claude now puts a verdict on every email in every flow each week and names the one to fix first.
How to use AI for inventory management in a CPG brand without trusting its first forecast
The expensive surprise in inventory is a product that runs out before the next order lands, which means a missed order and an empty shelf.
AI agents for ecommerce: what a CPG brand should hand over and what should check the work
What can AI agents for ecommerce run for a CPG brand, and what should check their work?
What guardrails should a CPG founder set up before using AI with sensitive company information?
Picture the weekly numbers meeting. Your bookkeeper wants to paste last month's bank statement into an AI tool to get the numbers ready, and you cannot say…
Should you use different AI tools for strategy and content than for design and building?
Picture the weekly numbers meeting. You asked an AI assistant on Friday to help plan a promotion, and now you are opening a different AI tool to build the…
What review step keeps an automated AI workflow accurate after it goes live?
An AI job can go wrong a little at a time for weeks, and nothing tells you. The review step that fixes this is a weekly AI check on each live job.
Which AI agents should a small CPG brand use, and how should it choose?
Choose an AI agent by the job, not by the product. An AI agent is a piece of AI that does a task for you on its own, without you typing each step.
Can AI handle receivables, bills due and cash flow forecasts?
Can AI handle financial tasks like receivables checks, bills due and cash flow forecasts?
Why the number you reported changes two days later
The number in this week's report is different two days later. Nobody touched the data. The definition moved.
How do you bring AI into finance without exposing confidential data?
Give the AI files, not logins. Save the finance reports you need as files, put them in one folder, and let the AI read that folder.
The one page that stops your team's AI from inventing a retailer policy
An AI playbook is one page that says what your team's AI may do, which files it reads, what a person approves first, and what it never touches. Let AI interview you and write it. If nobody on your team uses AI yet, it is still the right first page. Name one owner.
You may be paying to rewrite words against a doubt your buyer never had
Hand your product page to AI and you get a better-written page aimed at the same wrong objection. The rewrite worth having starts in your reviews and your support inbox, where the real objection is already written down.
Your next big buyer may be a shopping helper, and it cannot read your listing
Your next big buyer may be an agent doing the shopping, and it picks the brand whose product data it can read without guessing. Spend the next quarter on your spec sheet, not your hero image.
The weekly revenue question, answered from two exports
"Where did the revenue go last week?" costs somebody the morning. One prompt turns two sales exports into one checked table, and the week our own dashboard got it wrong shows why the check is in there.
Support replies that learn from what your team sends
Your team answers the same questions every week, a little differently each time. Three prompts have AI draft every reply and rewrite its own library from the edits your team makes.
Eight products, four prices, no vanilla
My store sells two flavors in four sizes. The part of the page written for machines lists four prices and never says which is which.
The AI CPG Workshop: four weeks to teach AI your business
Your company knows the answer to almost every question this week. None of it is anywhere a machine can read. October 12 to November 2, four live sessions to fix that, and an audit you can run on your own business this afternoon for nothing.
Your product page has two readers
Your product page has two readers now and only one of them buys. The one that does not buy decides what the other one is told about you.
Confident is worse than wrong
The wrong answers you catch are the ones that sound made up. The one that costs you sounds exactly right.
You ranked it by how much you hate it
The work you hate and the work worth automating are two different lists. Here is the question that re-sorts them.
The seven levels of AI for CPG: how to move up one, whichever level you are on
What each rung looks like when it is working, what you actually get for climbing it, and what it costs you if you climb it in the wrong place.
Build around the verb, not the data
I shipped an internal OS and used it for ten minutes before calling it useless.
Green tests measure the wrong thing
A system I built produced junk content and passed 121 automated tests on the night it shipped.
The AI that audits the AI
The real shift isn't how fast AI writes. It's what it's now allowed to say no to.
Treat AI like a hire, not a tool
The brands winning with AI aren't using more of it. They are managing it like an employee.
Your weekly meeting should not start with 'which number is right?'
The reporting problem that quietly eats founder time.
AI for CPG brands starts with the reporting bottleneck
The highest-value AI use case is usually not the flashiest one.
The founder's CPG dashboard: what should actually be on it
A founder dashboard should be built around decisions, not vanity charts.
Inventory risk should show up before it gets expensive
Why stock risk belongs next to revenue, channel shifts, and paid media.
What should a CPG founder automate first?
Start with recurring founder drag, not the flashiest AI demo.
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