AI Commerce Operations
Sits over Shopify + Amazon + your fulfillment stack
Headline outcome
Multi-channel sync; pricing tuned per-SKU per-day
What the operation looked like before.
A 60-SKU DTC apparel brand selling on Shopify, Amazon, and Etsy, plus seasonal pop-ups. Inventory ran out of sync between channels · Shopify said "8 in stock" while Amazon FBA was already at zero · so a hero SKU oversold three times in one quarter, each one a fulfillment scramble that ate margin. Pricing was set in Q1 against last-year demand and stayed flat through the summer spike. Product copy on Amazon hadn't been touched since the original launch listing two years ago.
The bottleneck
No one had a daily defensible view of which SKUs to push, reprice, or pull. The merch lead made the call by gut on Monday morning; by Friday the data said the opposite; by then the ads were already running.
How the system is wired.
A single product graph syncs Shopify, Amazon SP-API, and the warehouse. Demand forecasting runs Prophet per-SKU per-channel. A pricing engine recommends per-SKU per-day adjustments based on margin floors, competitor signals, and demand. Claude rewrites Amazon listings against brand guidelines and SEO targets. Customer LTV and churn-risk score nightly.
Where humans approve, review, decide.
Every consequential decision routes through a person on your team. Speed without abandoning judgement.
Sample approval surface
Approves pricing changes outside a per-SKU autorange
Flagged- Decision frequency: Daily
- Routes to the operator daily review queue
Merchandiser
| Role | Decision | Frequency |
|---|---|---|
| Merchandiser | Approves pricing changes outside a per-SKU autorange | Daily |
| Brand lead | Reviews AI-rewritten product copy before publish | Per listing |
| Ops manager | Confirms inventory rebalances between warehouses | Per move |
| Marketing | Picks which AI-flagged churn-risk segments to target | Weekly |
What changed for the operation.
3
Outcomes the operating team validated. Numbers below are anonymized to client policy.
Pricing adjustment cadence
Daily per-SKU
from quarterly
Stockout incidents
↓ 60%
Listing freshness
continuous
from yearly
We share the underlying breakdown in a discovery call under NDA.
What runs underneath.
Build with us
Have an operation shaped like this one?
We'll start with a 2-week Discovery against your real systems and operating people. If we're not a fit we'll say so on the call.