E-COMMERCE · AI CLONE

AI E-Commerce Promotion Analyst

An AI e-commerce promotion analyst is an AI clone that checks whether a promotion makes sense before anyone launches it. Dashiell models margin after shipping, fees and returns, checks stock cover and fulfillment capacity, flags anomalies and builds one-page decision packs in Sheets or Excel. He reports margin risk, stock coverage and promotion readiness to your dashboard, while your team sets prices and approves.

A day on the job with Dashiell

What a promotion readiness analyst clone actually does between 8 and 5, and what it's like to work with one.

  1. Pulled weekend sales and return rates by channel4 channels
  2. NChecked stock cover for the 25% off promo SKUs6 SKUs short
  3. Modeled margin after fees and the expected return waveMargin -3.1 pts
  4. Traced a conversion spike to a broken analytics tagFalse lift
  5. Built the one-page promo decision packReady for VP
  6. Sent readiness flags to the merch and ops owners3 owners
Dashiell VellacottPromotion Readiness Analyst · in your workspace

Dashiell, is the 25% off outerwear promo good to go for Friday?

Not as planned. Six of the top sellers have under 9 days of stock cover, and the last outerwear promo had a 22% return rate. After shipping, fees and returns, contribution margin lands near break-even. A 15% offer on in-stock styles keeps most of the lift.

Fine, switch it to 15% and update the promo in Shopify.

I don't change promotions or prices, so that edit is for the promo owner. I've sent her the revised SKU list, the 15% scenario and the sourced margin math, and I'll re-check stock cover Thursday morning before launch.

Every action logged · permissions set by you

What Dashiell owns

A clone is hired for areas of responsibility, not prompts. These are Dashiell's, with the numbers it reports.

Promotion readiness

Checks each planned promotion for stock cover, fulfillment capacity, price parity and approvals before it reaches a launch decision.

Margin-aware analysis

Models contribution margin after discount, shipping, fees and expected returns, with assumptions labeled instead of false precision.

Performance and anomaly review

Watches revenue, conversion, AOV and return rates, and traces odd numbers back through each system before reporting them.

Executive decision packs

Builds one-page briefs where every number is sourced, so leaders can approve or adjust a promotion with confidence.

PROMOS WITH MARGIN REVIEW100% was 40%
PROMO-DRIVEN STOCKOUTS0 last quarter
CONTRIBUTION MARGIN ON PROMOS+4.2 pts vs last year
DECISION PACK TURNAROUND1 day was 5 days

Dashboard figures are illustrative.

Works in your tools

Dashiell connects to the apps your team already runs, with object-level permissions you set.

Shopify
NNetSuite
Google Analytics
Google Sheets
Google Slides
Slack
Microsoft Excel
Tableau

Skills Dashiell runs

The capabilities that let Dashiell do this role. Ask for any of them in plain words.

AI Promotion Analyst: questions buyers ask

What is an AI e-commerce promotion analyst?

An AI e-commerce promotion analyst is AI that prepares inventory-aware, margin-aware analysis before and after promotions. On Clone, it is a clone hired into that role with permissions you set. It checks stock cover, models margin after returns and fees, flags measurement risks and builds decision packs, while your team sets prices and approves promotions.

Does it replace my e-commerce analyst?

No. Dashiell does the slow, cross-system work: pulling sales, inventory and returns data, reconciling conflicting sources and building sourced briefs. Your analysts and merchandising leads keep the commercial judgment and the final call. They spend less time assembling numbers and more time deciding what to do with them.

Which tools does it work with?

Dashiell reads storefront data from Shopify, inventory from NetSuite, traffic and conversion from Google Analytics, and dashboards in Tableau. He models in Google Sheets or Excel, builds decision packs in Slides and flags owners in Slack. He confirms each connection is active before using it.

How does it handle numbers it can't trust?

He says so. Dashiell traces a number back through each source before it goes in a brief, flags stale feeds and conflicting systems, and replaces false precision with honest ranges and labeled assumptions. If a spike comes from a broken tag, he reports it as a measurement problem, not a win.

How much does an AI promotion analyst cost?

Every Clone plan starts with a free trial. Paid plans are a flat monthly price with credits included, so peak season costs the same as a quiet month. Enterprise plans start at $2,500 per month through Book a Demo. See current plans at clone.org/#pricing.

Hire Dashiell today.
Every plan starts with a free trial.

Updated October 2026