Bestsellers run out before the reorder arrives
Simple low-stock alerts miss supplier lead time. By the time the alert fires, your next PO may already be late.
Get a clear weekly buying plan that tells you what to reorder, what not to buy, what not to promote, and where inventory cash is trapped.
Buy
Reorder before lead time catches up
Do Not Buy
Avoid adding slow-moving stock
Do Not Promote
Stop demand from outrunning supply
Monday Buying Plan
Buy
AI explanation ready
Order 48 units before lead time risk grows.
Do Not Buy
AI explanation ready
143 days cover. Keep cash out of this SKU.
Do Not Promote
AI explanation ready
8 days left. Pause demand until replenished.
Buy now
7 SKUs
Cash trapped
$8.4k
Data gaps
43
The expensive part is not one bad forecast. It is the weekly buying drift that happens when stockouts, overstock, supplier rules, and marketing plans live in different places.
Simple low-stock alerts miss supplier lead time. By the time the alert fires, your next PO may already be late.
Inventory dollars hide inside variants with months of cover while urgent products wait for budget.
Ads, email, and promotions can create demand for SKUs that cannot support another buying cycle.
Exporting orders, updating formulas, and chasing supplier rules makes every purchase review slower than it should be.
StockPilot turns inventory signals into a buyer workflow: prepare the plan, review the reasoning, and export what your team approves.
Import products, variants, orders, inventory, and sales velocity into a buying workspace built for review.
Add supplier, cost, MOQ, pack size, and lead time data so each recommendation follows your buying rules.
See what to buy now, what to hold, what not to promote, and which items need missing data fixed.
Approve the plan, adjust quantities, then export a purchase-order CSV for your supplier workflow.
StockPilot is built around operational decisions, not generic charts. Each recommendation shows the action, the reason, and whether missing data blocks the next step.
Buy Now
Stockout before 21 day lead time
PO ready
Do Not Buy
143 days of cover remains
Cash protected
Do Not Promote
Only 8 days of stock left
Marketing risk
Cash Trapped
High cover with slow velocity
Review discount
Missing Data
Cost, MOQ, or lead time missing
Blocked
Reports and forecasts can be useful, but the merchant still has to translate them into supplier orders, holds, and promo risk.
The weekly plan groups decisions by action so the buyer can review, adjust, and export with fewer spreadsheet passes.
Inventory buying touches cash, suppliers, and customer experience. StockPilot keeps recommendations explainable and leaves final decisions with the merchant.
Deterministic inventory math creates the plan; AI explains the reasoning in plain English.
No automatic purchase orders, price changes, ad changes, or spend without merchant confirmation.
Uses Shopify Billing and API patterns for app access and subscription handling.
Privacy-aware data handling with GDPR workflows, including data deletion support.
Recommendations stay reviewable, editable, and exportable before any operational action happens.
Request a free beta audit. We will use your answers to understand SKU count, current tools, and the inventory decisions that are hardest to make each week.
StockPilot can still surface risk from Shopify inventory and order history, but purchase quantities stay blocked until supplier, lead time, MOQ, and pack-size rules are mapped.
Cost gaps are flagged as missing data. The plan can identify stockout and promotion risk, while cash-trapped and margin-sensitive decisions become more useful as costs are completed.
StockPilot keeps reorder, hold, do-not-promote, cash-trapped, and missing-data decisions in one review workflow. It is built to make the weekly buying review clearer without automatically changing store data or placing orders.
No. StockPilot does not create purchase orders automatically, change prices, change ads, or spend money. Merchants review and confirm actions.
The first sync is straightforward. The time variable is supplier data quality: stores with supplier, cost, MOQ, and lead-time data ready can move faster than stores rebuilding that data.