For Shopify founders scaling paid ads on Meta, Google, or TikTok

Every stockout
costs you twice.
Here's how you see them coming.

Most DTC founders run inventory on a spreadsheet and a gut feel — and find out about a stockout when ads are already spending to a sold-out page. We forecast demand at the SKU level, flag what's going to run dry before it does, and tell you exactly what to reorder and when. Built on your Shopify data. Done for you.

Get the $500 inventory audit See how it works

3–4 spots available per month  ·  Response within 24 hours

The problem

You stock out mid-campaign

Ads keep spending. Revenue stops. You're paying Meta to drive traffic to a sold-out page — and you had no warning it was coming.

You over-order to compensate

So you buffer. 90-day supply just in case. Cash tied up, margins crushed, warehouse full of product that isn't moving. The pendulum swings both ways.

You're managing this manually

A spreadsheet, some supplier lead times you half-remember, and a gut feel that's been wrong before. That's most brands' entire inventory system.

You can't scale with confidence

Every time you want to push ad spend, the same question hits: do we have enough stock to handle it? And the answer is always a guess.

What you get

SKU-level demand forecast

Custom-trained on your sales history. Every product, every variant — forecasted individually, not averaged out. Accounts for seasonality, promotions, and trend velocity.

Revenue-at-risk calculation

A dollar figure. The projected revenue you stand to lose in the next 30 days if nothing changes. Most founders see this number and act immediately.

Reorder recommendations

Exact quantity. Exact timing. "Order 1,200 units within 10 days." No interpretation required — just the action.

Stockout early warning

"You will stock out of [SKU] in 14 days at current velocity." Named. Dated. Ranked by urgency. Not a generic alert — your actual products.

Retainer only

Ad campaign impact modeling

"If you 2x ad spend next month, you stock out in 9 days." Before you scale, know whether your inventory can handle it. This is what no other tool does.

Retainer only

Daily intelligence report

What happened, what's coming, what to do. Delivered every day. The single document that replaces your spreadsheet, your reorder guesswork, and your inventory anxiety.

Retainer only

How it works

1

You send a sales data export

Takes 3 minutes to pull. I send you a simple data request after booking — just orders and products. No API access needed.

2

I build your custom forecast

Every SKU gets its own model trained on your sales history. Usually 3–5 days depending on catalog size.

3

You receive the full report

Written, structured, human-readable. Forecast, stockout risks, revenue-at-risk number, reorder recommendations — all in one document.

4

We walk through it together

45-minute call. I show you what it means, what to act on, and what the retainer looks like if you want this running every day.

Get started

Step 1 — audit

$500

one-time  ·  delivered in 5–7 days

Full inventory risk snapshot built from your sales data export. Includes a 45-min walkthrough call. This is where we start.

SKU-level demand forecast
Stockout risk report with timelines
Revenue-at-risk dollar figure
Top 3 reorder recommendations
45-minute walkthrough call
Book your audit
Most popular

Step 2 — retainer

$1,500

per month  ·  cancel anytime

Everything in the audit, updated every day. Plus ad campaign impact modeling before every spend increase.

Daily updated forecasts
Reorder triggers as they hit
Ad campaign impact modeling
Daily intelligence report
Async Q&A — ask anything, anytime
Book an intro call

Why trust this

$100B+

in financial data I built production forecasting systems for at Layer6 AI / TD Bank

4 patents

in ML and AI systems — not a side project or a wrapper on a SaaS tool

Custom model

built per SKU on your data — not a generic algorithm applied to your store

Done-for-you

you get a report and a call — not a dashboard to figure out yourself

HV

Harshul Varma

Applied ML scientist — formerly Layer6 AI / TD Bank. Built production ML forecasting systems on $100B+ in financial data. 4 patents filed. Now applying the same methodology to DTC inventory so founders can scale paid ads without the inventory guesswork.

Frequently asked questions

How is this different from inventory apps like Prediko or DOSS?

Those are self-serve tools — you log in, you interpret the data, you decide what to do. This is done-for-you: you send your data, a custom model is built on your store specifically, and you get a written report with exact actions. No learning curve, no dashboard to figure out.

Do you need API access to my Shopify store?

No. Just a simple data export — takes about 3 minutes to pull from your Shopify admin. No integrations, no credentials, no ongoing access to your store.

What size store does this work for?

Best fit is 10+ active SKUs and at least 6 months of sales history. Under that, there isn't enough data to build reliable per-product forecasts. If you're on the edge, reach out — I'll be straight with you about whether it makes sense.

How long does the audit take?

5–7 business days from when I receive your data. You'll have the full written report before we get on the walkthrough call.

What does the retainer do that the audit doesn't?

The audit is a one-time snapshot. The retainer keeps it live — daily updated forecasts as new orders come in, reorder alerts as they trigger, and ad campaign impact modeling before you scale spend. If you're planning to double your Meta budget next month, I'll tell you whether your inventory can handle it before you flip the switch.

Is there any commitment beyond the $500 audit?

None. The audit is a standalone deliverable — one payment, one report, one call. The retainer exists if you want the forecast kept live every day, but there's no pressure and no obligation coming out of the audit.

Why trust this over a SaaS tool?

SaaS tools apply the same generic algorithm to every store. This is a custom model trained on your sales history specifically, built by someone who built production ML forecasting systems at Layer6 AI (TD Bank) — $100B+ in financial data, 4 patents filed. The audit is also low-commitment: $500 to see exactly where you stand before deciding on anything ongoing.

Tell us about your store.

Fill in the form and I'll get back to you within one business day.