Command Center

The flagship working list: every SKU that needs reordering this cycle, ranked so the ones at risk of stocking out rise to the top. Check the rows you want and add them to the buy session, where they become draft POs by vendor. Suggested quantities round up to each vendor's case pack. A human approves every buy.

Buying inside the cash you actually have. Under 280E, inventory competes with payroll and rent for the same dollars. Set this week's cash budget and ProCURE ranks every candidate by priority, then allocates top down. Move the budget and the cut line moves with it.

One deliberate demo liberty: the live app uses a typed, saved weekly budget. The slider here lets you watch the cut line move in real time.

Product idle 21+ days is frozen capital you cannot easily recover under 280E. ProCURE escalates it at 21, 30, 60, and 90 days so the discount-or-return call happens while the product still moves.

Which floor SKUs are running thin, and the exact backstock package to move up front. Pull order is first-expiry, first-out, so the oldest sellable package hits the shelf before it ages out in the back room.

What you actually paid for every lot of every product, over time. A vendor that nudges unit cost up a little each delivery shows up as a rising line here, at the lot level, where an aggregate COGS report would hide it.

Every SKU in one sortable ledger: on-hand quantity, inventory value, cost, price, margin, and days on hand. This is the raw layer under every other page. Try the search box; it filters live.

Units sold against units available, per SKU, for the trailing four weeks. High sell-through with thin stock means buy more; low sell-through with deep stock is tomorrow's dead stock. The trend column compares against the prior four weeks.

A full P&L by brand: inventory tied up, sales earned, cost of goods, and the gross profit left over, ending in an A-to-F grade. Every brand is its own row and carries its parent as a column, so a company selling under three names still reconciles to who you cut the check to. Click a brand to break it out by format.

The vendor book behind every PO: who to email, what terms you are on, and how long an order takes to land. Lead time feeds straight into the reorder point, so keeping it honest here keeps the reorder honest everywhere.

Every discount given at the register, rolled up into the promotion that caused it, classified by who pays for it, and turned into a ledger of co-op credits your vendors owe you. Set a promotion's funding on the Promotions tab and watch the credits change.

Today's stock, projected forward at today's selling pace. Every lot that will reach its expiration date before it sells shows up here with the units and dollars at risk, while there is still time to promote it or move it.

Every line added from Smart Reorder or Open-to-Buy lands here as a draft PO, one per vendor per store, and stays saved between visits. Check each vendor's minimum, apply any co-op credit they owe you, then export.

Where every number starts. Drop in the Dutchie exports and ProCURE checks every column before anything is replaced, strips shopper data on arrival, and commits the whole upload at once or not at all.

Invite teammates, set what each person can see and change, and keep a record of who accepted which version of the terms.

What it was planned to do: give compliance exclusions a dedicated audit home. The buying math already holds recalled, on-hold, retired, and non-cannabis rows out of every number today; this page turns that into a browsable, exportable audit trail.

What it was planned to do: three-way match every delivery. What the PO said, what the Metrc manifest actually transferred, and what the invoice billed, so short ships and cost mismatches get caught at the dock instead of at month-end.

What it was planned to do: scan once at the dock, never re-sticker again. Scan the Metrc tag, scan the manufacturer barcode, and ProCURE applies your naming template and pushes a sellable product straight to Dutchie.

What it was planned to do: grade every vendor on the signals that decide the reorder. Fill rate, on-time delivery, and price stability, plus the cannabis-only signals: lab-test failure rate and recall history.

What it was planned to do: capture the certificate of analysis at receiving, tie it to the SKU and the vendor, and feed pass/fail history straight into the vendor scorecard.

What it was planned to do: move from weekly CSV uploads to always-on sync. The analytics you see today run on file uploads. The same engine runs continuously once the connections are live.