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At a distributor or a third-party logistics provider (3PL), a company that stores and ships goods for others, that runs its own warehouses, the forecast often lives in a spreadsheet beside the ERP, the company's main business system. One or two planners rebuild it each week from recent sales by item and warehouse and turn it into purchase orders.
Its misses arrive as back-orders on the items customers want, orders they wait on because the item is out, and slow pallets of the ones they stopped buying. Take two planners who each give the rebuild a day a week, plus a couple of hours drafting orders:
| What it takes | The example |
|---|---|
| Planners | 2 |
| Their week on the forecast and orders | 25%, about 20 hours between them |
| What that costs a year | $64,100 |
| Misses | Back-orders on fast items, slow pallets of the rest |
| Stock the forecast steers | $2 million across 400 items (our assumption) |
Logisticians, the Bureau of Labor Statistics' category for this planning work, earned a mean $89,730 in May 2025, and benefits are 30% of what private employers spend by the same bureau's count, so each planner costs about $128,200.
At Qvery, we help distributors and 3PLs hold less stock and put their planners back on supplier decisions, with custom AI agents that rebuild the weekly forecast, draft each purchase order and show the planner the records it rests on.
A Stockout Writes Lost Sales Down as No Demand
In a week an item was out, the customer waited on a back-order or bought elsewhere, and the history shows a lower number than customers asked for. A forecast learns that week as a slow one: the next order is smaller, the item runs out sooner, and the history records less again.
You can only mark those weeks where your stock record shows them. In Nicole DeHoratius and Ananth Raman's study of nearly 370,000 inventory records in 37 stores of one retailer, 65% did not match what was on the shelf.
What Our Agents Do Each Monday
The agents we build for your planning team work inside the ERP or warehouse system your planners already use. Each Monday they pull the export, find the weeks an item was out, check each supplier's lead time, the weeks between ordering and receiving, against receipts, date the promotions in sales emails, and suggest a likely cause for each stockout.
The number itself comes from a statistical or machine-learning model, never a language model guessing quantities. The agents do the rest: they draft each purchase order with the forecast, the reason and the dates of the records behind it, and a planner releases it in the system.
Once set up, they work through the week on autopilot, and the planners handle the exceptions they raise. They also flag the week the forecast stops beating the simplest one, the same weeks last year.
Put your own planning team in. The calculator opens on the example: two planners at 25% of their week, with the agents taking 60% of the work and the planners keeping every release.
Weekly Demand Forecast ROI Calculator
What Rebuilding The Weekly Forecast And Drafting Purchase Orders Costs You, And What An Agent Saves
Saved Per Year
$34,860
624 hours handed back, after $3,600 a year to run it
- Hours Handed Back
- 624 hours a year
- Agent Running Cost (Estimate)
- $300 a month
- Payback Per $10,000 Of Build
- 3.4 months
On these numbers, the agent saves $34,860 a year after its own running cost, and every $10,000 of the build is earned back in 3.4 months.
On the example, the planning work falls from $64,100 to $29,240 a year: $34,860 and 624 hours your planners spend on suppliers instead, and every $10,000 of the build is earned back in about 3.4 months.
Running the agents, about $300 a month or some $70 a weekly run, is an estimate: the AI model's use plus hosting and upkeep.
The cash is the larger line: if the agents' orders hold the same fill rate, the share of orders shipped from stock, with a tenth less stock on the example's $2 million, that is $200,000 released once, an assumption your own numbers replace.
Our weekly report carries two numbers: the planner hours the spreadsheet no longer takes, and the bad orders the agents held back, such as a buy placed on a stale stock count or one item ordered twice.
Planners Keep the Release
Planners release the orders, and the head of operations sets service targets and the safety stock, the buffer kept against late deliveries and surprise demand. Before the agents read anything, we agree in writing what they may read and do and where their data is processed, and every action they take is logged:
They Always
Draft each order with the forecast, the reason and the dates of its records, and hold any draft whose stock record is older than the order cycle, the time between two orders for the item.
A Planner Keeps
The release of every order, unless you decide in writing that an item group may go through, and the service targets and safety stock.
Overrides go in writing with a reason and are scored against what customers then ordered, so after a quarter you know which judgment calls helped.
What We Need From Your Last Two Years of Orders
Bring two years of orders, stock and receipts. We map how the forecast is built today, and the first week of drafted orders reaches your planners within two weeks of access.
Frequently asked questions
Can AI forecasting work if we plan in spreadsheets?
Yes. The spreadsheet becomes the method the AI has to beat, so keep last season's version or rebuild it. What matters is the system underneath: dated orders, receipts and stock counts. Your planners can keep their sheet until the test on past weeks shows the AI forecast places better orders.
What about new items with no sales history?
They need a different method: a similar item's history, the buyer's judgment or the customer's own plan. Keep them out of the test on past weeks, which needs a past to test against, and review them by hand until they have a full season of sales behind them.
Does this work for a 3PL that plans stock for its clients?
Yes, where you plan or place replenishment for a client, with one change: the demand and the stock belong to the client. Run the checks client by client, and get promotions and launches from the client. A 3PL also plans space and labor from the same forecast, and the test can score those plans too.
Who approves the orders an AI agent drafts?
A planner, in the ERP, with the forecast, the reason and the date of the stock and lead-time data on the draft. The head of operations sets service targets and safety stock policy. Write down which item groups, if any, may later go through without a signature, and on which records.
Why do stockouts make demand forecasts worse?
A week an item was out records fewer sales than customers asked for. The forecast learns it as a slow week, orders less, runs out sooner, and the history records even less the next time.
How do you fix stockout weeks in sales history?
Mark the weeks an item was out so the forecast does not read them as low demand. You can only mark them where your stock record shows them, so the stock record has to be right first.
How accurate were the inventory records in the retailer study?
In one retailer's records, 65% did not match what was on the shelf. Nicole DeHoratius and Ananth Raman's study covered nearly 370,000 inventory records in 37 stores of that retailer.
Should a language model predict order quantities?
No. The number comes from a statistical or machine-learning model. The agents do the rest: pull the export, find the stockout weeks, check lead times against receipts and draft each purchase order with its reasons.
What does weekly forecasting cost a distributor's planners?
In this post's example, two planners give about 20 hours a week between them to the rebuild and the orders, 25% of their week: $64,100 a year at about $128,200 per planner with benefits.
How much can AI agents save on demand planning?
With agents taking 60% of the work, the example falls from $64,100 to $29,240 a year: $34,860 and 624 hours back for supplier decisions. Every $10,000 of build is earned back in about 3.4 months.
How much cash can a better forecast release?
If the agents' orders hold the same fill rate with a tenth less stock on the example's $2 million, that is $200,000 released once. This is an assumption your own numbers replace.
What does it cost to run forecasting agents?
About $300 a month in this post's estimate, some $70 a weekly run: the AI model's use plus hosting and upkeep.
What is a supplier lead time, and why check it?
A supplier's lead time is the weeks between ordering and receiving. Each Monday, the agents check it against receipts. They run this check inside the ERP, your main business system, or warehouse system your planners already use.
How do AI agents flag demand forecast underperformance?
The agents flag the week the forecast stops beating the simplest forecast: the same weeks last year. Once set up, they work through the week on autopilot, and planners handle the exceptions they raise.
Which purchase orders do the agents hold back?
Any draft whose stock record is older than the order cycle, the time between two orders for the item. The weekly report also counts bad orders stopped, such as a buy on a stale stock count or an item ordered twice.
Can planners override the AI forecast?
Yes, in writing with a reason. Each override is scored against what customers then ordered, so after a quarter you know which judgment calls helped.
What data do AI forecasting agents need?
Two years of orders, stock and receipts from your ERP or warehouse system. The current forecast is mapped first, and the first week of drafted orders reaches your planners within two weeks of access.
What pay should you assume for a supply chain planner?
Logisticians, the Bureau of Labor Statistics' category for this work, earned a mean $89,730 in May 2025. With benefits at 30% of what private employers spend, each planner costs about $128,200.
