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Which SKUs Should You Reorder First When Everything Looks Urgent?
Rank by days of cover left against supplier lead time: a SKU with three days of cover and a three-week lead time outranks a SKU with a week of cover that arrives in two days. StockMosaic builds that ranking from the sales history, lead times, and current stock you supply, with the assumption behind each line written beside it. You can open these pages and sign in to the workspace today. That does not mean StockMosaic is connected to your e-commerce platform or point-of-sale system, and it does not mean the product has formally launched.
Why this is a ranking question, not an urgency question
'What do I reorder first' needs three inputs to answer honestly: how fast each SKU sells, how long a replenishment takes to arrive, and what is on the shelf now. Without those, urgency is decided by whoever shouted last in the stockroom. With them, the list mostly writes itself, and the arguments move to the interesting edge cases.
StockMosaic ranks risk from data you paste in. Forecasts depend on sales history, lead-time quality, and stated assumptions, so a thin or lumpy history produces a visibly weaker ranking rather than a confident one.
What to bring to the desk
Sales history per SKU (twelve weeks is workable, a year is comfortable), current stock counts you trust, and realistic lead times per supplier including the days you personally take to get the order placed.
The last input is where small retailers lose accuracy. A five-day quoted lead time plus your four-day ordering delay is a nine-day pipeline, and the ranking needs the nine.
Step 1: Paste sales history, stock counts, and lead times per SKU
Sign in from this site and load one row per SKU: units sold over the period you have, units on hand, and the working lead time. Keep the period consistent across SKUs so the rates are comparable.
Step 2: State the assumptions where the data is thin
Name anything the numbers cannot say: the promotion weeks that inflated a rate, the season just starting, the new supplier whose lead time is still a guess. An assumption written down can be corrected; an invisible one gets discovered by a stockout.
Step 3: Ask for the ranked risk list
The desk orders SKUs by how soon cover runs out relative to the pipeline. Read the top band first and ignore the tail; the bottom half of any ranking is a distraction dressed as completeness.
Step 4: Check the top of the list against what you know
You know things the data does not: the SKU a big customer reorders monthly, the line the supplier keeps missing. Correct bad inputs where the ranking contradicts lived experience, then rerun. The list is a conversation starter with your own knowledge, not an oracle.
Step 5: Draft the replenishment proposal for the top band
For each SKU worth acting on, propose a quantity with the math visible: expected demand over the pipeline, stock on hand, the assumption applied. Quantities you cannot explain are quantities you should not order.
Step 6: Take the proposal to the buying decision
Hand the buyer the ranked proposal with assumptions attached. Purchase orders remain proposals until a buyer approves them, and that approval step is where cash-flow judgment enters, which no ranking can supply.
Verification
Every ranked line shows its inputs: sales rate, lead time, stock on hand, and the assumption used where history was thin. You can point at any SKU and walk through why it sits where it does. A line nobody can explain is a bug in the inputs, not a mystery to accept.
Limits of the ranking
Forecasts depend on sales history, lead-time quality, and stated assumptions. Purchase orders remain proposals until a buyer approves them. StockMosaic has no connection to your sales channels or suppliers on this path, and it does not place orders.
Do not present a ranking built on thin history as a forecast of demand. It is a risk ordering with visible assumptions, which is a different and more honest claim.
Where StockMosaic fits in reordering
StockMosaic combines the numbers you supply into a ranked SKU risk list and a replenishment proposal with assumptions beside each line. Ask it to rerun the ranking after a delivery lands or a lead time changes.
You fix bad inputs, you challenge lines that contradict the stockroom, and you approve or reject each proposal line as the buyer.
FAQ
Questions this guide is for
Does StockMosaic have a public API or MCP integration?
No. StockMosaic publishes no public API or MCP integration. Sales history, lead times, and current stock are combined in the workspace to rank SKU risk and prepare a replenishment proposal.
Will StockMosaic place the purchase order?
No. Purchase orders remain proposals until a buyer approves them. Forecasts depend on the quality of your sales history and lead times, and every assumption is shown visibly rather than buried.
How much sales history do I actually need?
Enough to see a selling rate: twelve weeks is workable, a year is comfortable. Below that, the ranking leans on the assumptions you state, and it says so on the line.
Does it send purchase orders to my suppliers?
No. Purchase orders remain proposals until a buyer approves them, and there is no supplier connection on this path.
What about seasonal SKUs?
Name the seasonality as an assumption rather than expecting the desk to discover it. Flag the weeks that do not represent normal demand so the rate is not quietly poisoned by them.
Start in the workspace
Rank your SKUs this afternoon
Sign in or create an account. You return to the StockMosaic conversation. Paste sales history, stock, and lead times, and leave with a ranked risk list whose assumptions you can defend.