The AI analytics partner for ecommerce

Your numbers alreadyknow what's wrong.Make them say it.

One warehouse for Shopify, Amazon and every ad channel — read weekly by an AI analyst that ranks what's leaking by dollar impact, and tells your team what to do about it.

0+years in ecommerce data
0contracts · 100% JSS
0.0★Upwork rating
MONDAY 06:00 — AUTO-DELIVEREDILLUSTRATIVE
NET REVENUE
$0K+6.2%
BLENDED MER
0+0.3
CONTRIB. MARGIN
0%−1.1
REVENUE · 30D— actual   ┄ forecast
✦ AI analyst · #1 by impact this weekMeta CPA on “Prospecting-US” rose 38% while site conversion held — creative fatigue, not landing page. Rotating the top three ads is worth ≈ $9.4K/mo. Owner: media buyer.
scroll
The problem

Five tools. Five answers.
One decision to make.

Every platform reports revenue its own way. Watch what happens when the same week is asked the same question:

CLAIMED
Shopify says
$0K
CLAIMED
Meta says
$0K
CLAIMED
GA4 says
$0K
RECONCILED
One model says
$0K
The AI layer · flagship services

Reporting that reads itself.

Three AI services, all running on one warehouse in your own accounts. Scroll — each one is shown doing its job.

01 / AI DATA ANALYST

Ask your warehouse anything.

A conversational analyst over your own BigQuery — in Slack or on the web. Plain-English answers, with the SQL shown so every number can be trusted and re-run.

  • Answers in seconds, not analyst-days
  • Every answer carries its query — no black box
  • Learns your metric definitions, not generic ones
Scope it on a call →
LIVE SESSION · SLACK#leadership
Why did contribution margin drop last week?
Margin fell −1.1pt, driven by SKU GLV-09: landed cost rose 14% on the June shipment while price held. At current velocity, repricing +$3 restores it — worth ≈ $6.1K/mo.
▸ view SQL · orders_fact ⨝ cogs_daily · 0.4s · 2.1MB scanned
Which channel should absorb the Q4 budget cut?
Bing. Its blended CAC is 2.3× Meta's at one-tenth the volume — cutting it costs the least revenue per dollar saved.
02 / DEMAND & INVENTORY FORECASTING

See the stockout before it costs you.

Always-on, seasonality-aware forecasting on your own sales history. Alerts land with reorder quantities attached — before the money is lost, not in the post-mortem.

  • Forecast bands, not single guesses
  • Stockout & overstock alerts to Slack
  • Built on the pacing models proven with 8-figure clients
Scope it on a call →
SKU GLV-09 · 90-DAY FORECAST94% CONF.
03 / AI SEARCH VISIBILITY · GEO

Get recommended by the machines.

AI-referred ecommerce traffic grew roughly 4× last year — and converts better than paid search. I audit how ChatGPT, Perplexity and Google AI Overviews describe your brand, fix the gaps, and track your citation share monthly.

  • Baseline: what AI engines say about you today
  • Entity, schema and content fixes that move it
  • Monthly citation-share reporting vs competitors
Scope it on a call →
CITATION SHARE · “BEST GOLF GLOVES”SEPT 2026
ChatGPT
74%
Perplexity
61%
AI Overviews
48%
Gemini
37%
— baseline
8%

BASELINE → MONTH 4 · client brand, anonymized

The system · what lands every Monday

One command center.
Zero report-building.

REVENUE VS FORECAST · 12 WEEKSBLENDED · ALL CHANNELS
SPEND VS REVENUE BY CHANNEL · THIS MONTH$ THOUSANDS
TRUE CONTRIBUTION MARGIN
PER-SKU · WORST 3
GLV-09−4.2%
BAG-PRO-2−1.8%
TEE-VAR+2.1%
✦ AI FEED · RANKED BY $LIVE
Rotate Meta creative — CPA +38%, conv. holding. ≈ $9.4K/mo
Reprice GLV-09 — landed cost +14% vs flat price. ≈ $6.1K/mo
Klaviyo flow broken — abandoned-cart sends stopped Tue. ≈ $3.8K/wk

Illustrative data. The same system is live in the portfolio — open the real deliverables.

Proof

“The only person I found who could figure out why those issues were happening — and how to fix them.”

Verified Upwork client · 77 contracts · 100% job success
0%of pacing target, visible at day 15 — not month end. 8-figure golf DTC brand.
£77→£0cost per lead after channel truth came out. UK travel brand, 18 months of data.
0hrswhite-label agency engagement, rated 5.0 — “dashboards that elevate how we present data.”
Engagement

Simple, and yours to keep.

No proprietary platform, no lock-in. The warehouse and dashboards live in your accounts and stay yours even if we stop.

Step one

The build

One-time · 2–4 weeks
  • Every source connected, historical backfill
  • BigQuery warehouse and clean model
  • Core dashboards and KPI reporting
  • AI insight layer configured
  • Delivery to email, Slack and Sheets
  • Documentation and handover
Step two — where the value compounds

Managed monthly

Ongoing · cancel anytime
  • Feed monitoring — caught before you act on bad data
  • AI insight tuning as it learns your business
  • New metrics and views as the business changes
  • Data-quality assurance
  • An analyst on call when a number surprises you
  • Priority response

Pricing depends on how many channels and how much depth you need — from a single-store setup to a multi-channel, multi-brand system. We'll scope it on the call.

Process

Live in two to four weeks.

01

Connect

Read-only API access to every platform you run. No engineering time from your team.

02

Unify

One clean model in BigQuery. Week one ends with the numbers finally agreeing.

03

Explain

The AI layer goes live — what changed, why, and what it's worth, ranked by dollar impact.

04

Deliver

Dashboard, email, Slack. Nothing new to log into.

05

Maintain

Feeds break silently. I watch them so you never act on bad data — that's the retainer.

Questions

The things people ask first.

If it's automated, why is it a retainer?

A dashboard is built once, but data feeds break silently — APIs change, tokens expire, platforms restructure. An unmaintained report doesn't error, it quietly starts showing wrong numbers. The retainer keeps it true, keeps it evolving as your business changes, and keeps someone on call who knows your data.

How long until it's live?

Two to four weeks from access to first delivered report. Week one is connecting sources and auditing where your numbers currently disagree — you'll see the first unified view within days.

What do you need from us?

Read-only API access to your platforms and a Google Cloud project (I'll set one up if you don't have one). No engineering time from your team.

Do we lose everything if we stop?

No. The warehouse, the data and the dashboards are in your own accounts and stay yours. There is no proprietary platform to be locked into.

Is our data secure?

Everything lives in your own cloud accounts, not mine. Access is read-only wherever possible, and I'm happy to sign an NDA before we start.

We already have dashboards. Why is this different?

Most dashboards show you what happened. The difference here is the interpretation layer — it tells you what changed, why, what it's worth, and what to do about it, ranked by dollar impact. That's what turns reporting into decisions.

Get started

What's the one number you least trust?

Bring it to a 15-minute call. I'll tell you what's likely causing it and whether it's worth fixing — no pitch, no obligation.

Pick a time
Fen here. What's the one number in your business you trust least?