We cut $3,000/mo supply planning to $147 and made it 20x faster
How one seller rebuilt a 16-marketplace Prime Day restock plan in half a day after their supply-chain manager quit.
2 weeks free · no credit card
Agent output
Prime Day supply plan
Plan scope
16
marketplaces
2,000
boxes
4
shipments
137
forecast days
Marketplace rows
As featured in
Before and after
The result is visible before the story starts.
The operating delta leads the story: planning got cheaper, faster, and broad enough to cover every marketplace in one pass.
Planning time
Monthly planning stack
Market coverage
Forecast window
Source math
Claude Code $100 + PROPAMP AI $47 = $147/mo, replacing a $3,000/mo supply-chain-manager workflow.
The task
Prime Day was close. The plan had no owner.
The supply-chain manager quit weeks before Prime Day, leaving a 16-marketplace restock plan that used to take two weeks.
Owner gap
Supply-chain manager quit weeks before Prime Day
Scope
16 marketplaces, 2,000 boxes, 4 shipments
Deliverable
Master Excel plan plus customs-ready documents
HalfHalfaaday.day.OneOneAIAIagent.agent.
Prime Day countdown
Why it used to take two weeks
Every marketplace changed the answer.
Manual planning meant reconciling velocity, lead time, customs, and shipment splits by hand across 16 markets. One velocity baseline error used to cost days.
Spreadsheet path
Marketplace velocity
Lead times
Customs docs
Shipment splits
Agent path
5 min
The agent caught and fixed the US velocity baseline error instead of letting it contaminate the plan.
How it actually works
The agent does the dull reconciliation before it writes the plan.
The workflow follows the source case study: MCP data pull, per-market velocity, forecast, shipment sizing, workbook, and customs-ready docs.
- Step 01
Pull the source data
Seller Central and logistics data came through the MCP server instead of another spreadsheet export.
Seller Central + logistics
- Step 02
Separate velocity by market
The agent fixed the US-velocity baseline problem instead of applying one blended average everywhere.
baseline fixed in 5 min
- Step 03
Project the horizon
The plan ran a 137-day forecast so Prime Day demand, lead time, and coverage were visible together.
137-day forecast
- Step 04
Size the order
The 2,000-box order was split into four shipments with marketplace-level restock logic.
2,000 boxes · 4 shipments
- Step 05
Generate the workbook
The output was a master Excel deliverable the operator could inspect, edit, and hand off.
master Excel
- Step 06
Return docs ready to move
Customs-ready documents came back with the shipment plan instead of becoming a second manual project.
$200/doc work avoided
The math
$3,000/mo became $147/mo.
The source narrative compares the old supply-chain manager workflow against Claude Code plus PROPAMP AI. PROPAMP plan pricing stays separate from this case-study math.
Supply-chain manager
old workflow
$3,000/mo
Claude Code
new agent stack
$100/mo
PROPAMP AI
new agent stack
$47/mo
Net roughly $1,500/mo saved
The bigger shift was speed: the seller could test the agent workflow for roughly $150 instead of rehiring the whole manual process.
Seller tips
Treat the agent like an operator, not a magic prompt box.
The strongest advice from the source case study is practical: brief clearly, separate market velocity, and keep the data connected.
Treat it like a brilliant new hire on day one.
Brief it like a new hire
Treat the agent like a brilliant team member on day one: give context, constraints, and what good output looks like.
Do not chase perfect prompts
The winning input was a clear operator brief, not a prompt-engineering ritual.
Separate marketplace velocity
A blended baseline can hide the market that runs out first. Compute each marketplace separately.
Keep the data connected
The agent gets useful when Seller Central, shipment, and logistics records are clean enough to reason over.
Your move
Start your free PROPAMP AI trial.
Connect your account, point an agent at the data, and test whether your next restock plan can move this fast.