Skip to main content
Major Feature

One true average cost — FIFO-accurate, everywhere

If you've ever compared a product's average cost on the Products list against the Inventory Valuation report and gotten two different numbers, you've met one of the oldest annoyances in inventory software: a stored "average cost" field that slowly drifts away from what your inventory is actually worth. Costs got written to that field by different workflows over the years, and rounding, timing, and edge cases let it wander. With this release, average cost is now derived directly from your FIFO inventory layers — the same ledger that values your stock — and every screen, report, export, and filter in SKU.io reads from that single source. The number you see on the Products list, the Inventory Planning Report, the Inventory Valuation report, a CSV export, or an answer from the AI assistant is now the same number, and it always reconciles: average cost × on-hand quantity = stock value, to the cent.

Major Feature

Inventory Revaluations — dated cost changes and a valuation report you can trust

If you've ever re-run the Inventory Valuation report "as of" a closed month and gotten a different number than last time, you know how unsettling that is — especially at month-end close. It happened because cost corrections (a late freight bill, a vendor invoice true-up, a write-down) silently rewrote history: the report always valued past inventory at today's cost. With Inventory Revaluations, every cost change is now a dated, auditable event. The valuation report values each period at the cost that was in effect on that date, so the same as-of date returns the same value — no matter what corrections land later.

Major Feature

Product Analytics — see which products are growing, which are dying, and which channels are driving it

If you manage more than a handful of SKUs, you already live the 80/20 problem: roughly 20% of your products drive 80% of your revenue — but the long tail quietly declining, the winner you should be reordering harder, the SKU that's thriving on Amazon while it collapses on your Shopify store — none of that is visible without exporting sales orders and reconciling them by hand. Product Analytics turns the sales, purchasing, COGS, and inventory data SKU already holds into a single decision-making surface: a macro dashboard that ranks every product, a weighted performance scorecard on each one, and a true per-channel breakdown of where the revenue is actually coming from.

Major Feature

Supplier Analytics — see which suppliers are growing, which are slipping, and how good a partner each one really is

If you buy from more than a handful of suppliers, "how is supplier X doing?" is a question that costs you 20–40 minutes of exporting purchase orders and sales orders into a spreadsheet — and "which supplier grew the most this year, and which one is quietly slipping?" usually never gets asked at all. The data already lives in SKU: every PO, every receipt, every sale and its margin. It's just scattered. Supplier Analytics pulls it together into one decision-making surface: a macro dashboard that ranks your entire supplier base, a weighted performance scorecard on every supplier, and a per-supplier breakdown of which products are driving — or dragging — the relationship.