slow-down SKUs
1-3 weeks of stock left
Claude Code, connected to live Amazon and logistics data through the MCP server, flagged every at-risk and overstocked SKU before Prime Day.
2 weeks free · no credit card

What the agent found
Three SKUs were close to stockout, seven were overstocked, and two needed investigation after zero France sales for 30 days.
slow-down SKUs
1-3 weeks of stock left
overstocked
capital tied up before Prime Day
investigate
zero FR sales for 30 days
marketplaces
The whole finding surfaced in a ~10-minute agent memo instead of a manual pre-Prime-Day catalog review.

Data on the platform
Every SCM signal already lived in PROPAMP AI: FBA, AWD, 3PL, supplier, and marketplace-level sales movement.
sellable stock
reserve stock
transferable units
incoming coverage

Best-in-class MCP
Built for serious data volumes, so the agent reasons over the catalog instead of one SKU at a time.
The MCP connection let Claude Code pull months of Amazon and logistics history in 1-2 minutes, then reason over the whole risk surface.
Months of data
read in a few requests
1-2 minutes
to retrieve the context
Minimal tokens
for serious data volumes

The agent's read

Agent memo
“Some SKUs aren't going to have enough stock for Prime Day on certain markets... Want me to write the PPC adjustments?”
What changed
Without the catch, the seller would have lost search rank on the SKUs nearest stockout while leaving overstock capital untouched.
Slow-down SKUs
stock rebalanced
Was rank loss
caught early
Overstock
PPC adjusted
Was dead capital
7 SKUs flagged
Outcome proof
stock left
memo
markets
No rank loss, no dead overstock capital.
The operator had time to rebalance inventory and adjust advertising before Prime Day demand exposed the risk.
First-hand

Startup Amazon seller
3 SKUs caught · ~10 minutes
“Three SKUs were days from selling out mid-Prime Day while seven others were overstocked. Propamp’s agent surfaced the whole risk map in about ten minutes — before we lost rank or tied up more cash.”
Your move
Connect your inventory data and let an agent find the stockout and overstock risks before your next peak event.