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Operations
AI Inventory Intelligence
See which SKUs are about to run out, and which are quietly tying up cash, before either becomes a problem.
Running out of a best seller loses sales and customers. Sitting on slow stock ties up cash you need elsewhere. This report watches both. It forecasts each SKU's runway from your own sales velocity, seasonality and supplier lead times, then flags products heading for a stockout or drifting into overstock. Your team still decides what to reorder and when.
- Runout dates forecast per SKU, using your real supplier lead times
- Overstock flagged before it ties up more cash
- Alerts when a product's runway crosses your threshold
$3,500
20–30 working days
Optional maintenance $249/mo
What it is
AI Inventory Intelligence is a recurring report that forecasts stock needs per SKU from your own sales velocity and lead times, then flags products heading toward a stockout or sitting as overstock, so reordering decisions are made ahead of time, not after a shelf goes empty.
Why businesses buy it
Stock problems are expensive in both directions. A stockout on a popular product sends customers to competitors, sometimes for good, while overstock eats cash and storage space. Most teams track this in spreadsheets that are out of date by the time anyone reads them. This report keeps the forecast current and points to the few SKUs that need a decision today. It never places orders itself. The written scope covers data sources, thresholds, report format and testing before you buy, so you know what arrives.
Problems this solves
Bestsellers run out before anyone notices the shelf is emptying
The service forecasts stock needs per SKU from your own sales velocity and supplier lead times. It flags products heading toward a stockout early enough to reorder ahead of time.
Cash sits tied up in stock that barely moves
The same forecast flags products sitting as overstock. Your team can slow reorders or plan a clearance before more money is tied up in slow lines.
Reorder decisions live in one person's head and spreadsheet
Forecasts arrive as a dashboard or recurring report on email, Slack or the web. Up to five alerts flag urgent items, and results were checked against three months of history.
A good fit if
You manage stock across enough SKUs that spreadsheet reordering is slow or inconsistent, and stockouts or overstock keep surprising you.
You can grant read-only access to your sales, stock and catalog data on a platform such as Shopify, WooCommerce or Adobe Commerce.
You want a recurring dashboard or report forecasting stock needs, not a tool that places purchase orders automatically.
You already know your supplier lead times, or can share them, since forecasting stock needs without lead times is guesswork.
Not the right fit if
You want pricing recommendations rather than stock forecasting. See AI Ecommerce Pricing Assistant, which recommends price changes using margin, stock and competitor data.
Your priority is modeling one upcoming promotion's stock risk, not ongoing forecasting across your catalog. See AI Promotion Planner.
You want bundle pairing suggestions rather than a stock forecast. See AI Bundle Recommendation.
You want purchase orders placed automatically once a stockout is forecast. This build recommends for approval; add a note at checkout for a Custom AI enquiry if automatic ordering is required.
How it works
- We connect read-only to your store platform, such as Shopify, WooCommerce or Adobe Commerce, and pull at least three months of sales and stock history per SKU.
- Sales velocity is calculated per product, accounting for trend and seasonality rather than a flat average across the whole catalog.
- Velocity is combined with your current stock level and supplier lead time to forecast the date each SKU is likely to run out.
- Products moving far slower than their stock level suggests are flagged as overstock, tying up cash that could be reordered elsewhere instead.
- Forecasts and flags are delivered to the one channel you chose, with up to five alerts for SKUs whose runway just crossed a threshold you set.
- Your team decides what to reorder and when. The report forecasts and flags; it does not place a purchase order on its own.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your store platform's sales, stock and catalog data, such as a Shopify or WooCommerce staff account or API app.
- At least three months of sales history per SKU, so velocity reflects real demand rather than a short snapshot.
- Your supplier lead times per product or product category, since forecasting without them is guesswork.
- The recipients and delivery channel for the report, whether that is an inbox, a Slack channel or a dashboard login.
- Any known seasonality or upcoming demand changes, such as a planned promotion, so forecasts are not caught out by them.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One person on your side who can approve the forecasting rules and sign off on launch.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, lead times and target metrics confirmed.
Weeks 1–2
Per-SKU velocity and stockout forecasting logic built.
Week 3
Read-only connections to your store platform and other data sources set up.
Weeks 3–4
Results checked against three months of your historical data.
Week 4
Your review and two rounds of changes to the forecasting rules.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,500 |
| Express | 15–25 working days | $4,100 |
| Rush | 10–20 working days | $4,750 |
What you receive at handover
- AI Inventory Intelligence configured in your environment, reading from up to three read-only sources
- A recurring stock forecast report or dashboard (guidance for reorder decisions; purchase orders stay with your team)
- Up to five stockout and overstock alerts on your chosen channel
- A test report checked against three months of your sales history
- An admin guide, a recorded 60-minute handoff and 30 days of post-launch support
Expected benefits and how to measure them
- Can help you reorder before popular products sell out
- Helps free up cash held in slow stock
- Makes reorder planning a shared routine instead of guesswork
- Stockout days on top sellers
- Count days your top products showed out of stock in inventory records for the quarter before launch and the quarter after.
- Overstock value
- Total the value of stock older than your chosen age from inventory reports each month.
- Forecast accuracy
- Compare forecast demand with actual sales per SKU at the end of each month.
Before you start: Record last quarter's stockout days for top sellers and the current value of slow-moving stock.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the report afterwards costs roughly $20 to $150 a month, covering AI model usage plus the hosting and scheduler that refresh your forecasts. Catalogs of a few hundred SKUs with a couple of read-only connections tend to sit toward the lower end of that range.
AI usage during the build and testing is billed to your own accounts too, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need more than three data sources, another language, or extra dashboards, add a note at checkout. You get a written Change Quote, and your original order still runs on its normal timeline. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For this build we recommend monthly maintenance: monitoring, fixes, and monthly change hours, enough to update lead times or adjust the stockout threshold. Maintenance starts after the thirty days of support included in the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | An inventory forecasting app charges a recurring subscription tied to SKU count | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | An inventory forecasting app bundles this with purchasing modules you may not need | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Delivery | An inventory forecasting app can connect the same day but lead-time setup takes weeks | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Forecast basis | An inventory forecasting app often uses a flat average across the whole catalog | An agency build depends on what was agreed | Ours calculates velocity per SKU, accounting for trend and seasonality |
Questions about this product
What does the AI Inventory Intelligence build include?
It covers read-only connections to your store and stock data, per-SKU forecasting built on your sales velocity and supplier lead times, a test against three months of history, the report with up to five alerts, two rounds of changes and a recorded handoff session. The fixed price and faster delivery options are shown on this page before you order.
How much does AI Inventory Intelligence cost to run each month?
Roughly $20 to $150 a month, covering AI model usage plus the hosting and scheduler that refresh your forecasts. You pay that directly in your own accounts, not to us. Catalogs of a few hundred SKUs with a couple of connected data sources typically land toward the lower end.
How long until AI Inventory Intelligence is live?
Delivery follows a fixed schedule shown before you buy, with express and rush options if a peak season is approaching. The clock starts once your data sources, lead times and report recipients are confirmed, usually within 72 hours of ordering. Before launch, forecasts are checked against three months of your real sales so you can judge their accuracy.
Does AI Inventory Intelligence place purchase orders for me?
No. It forecasts stockout dates and flags overstock for your team to review, ranked by urgency, delivered to the channel you chose. It never has write access to your purchasing system, so a reorder only happens once a person on your side decides to place it.
What data does AI Inventory Intelligence need from my store?
Read-only access to sales, stock and catalog data, plus at least three months of sales history per SKU, shared by adding our team as a user or creating a key you control, never by email. Supplier lead times are also required, since a forecast without them cannot say when stock will actually run out.
Can I adjust the stockout threshold later?
Yes. Adjusting the stockout threshold, updating lead times or adding known seasonality fits inside the monthly change hours that come with maintenance. A new data source or an added delivery channel is handled as an add-on or a Change Quote.
Who owns the forecasts AI Inventory Intelligence produces?
You do. The forecasting logic, the report and the underlying configuration live in your own accounts and store platform once the build is delivered. If you later move to a different agency or bring the work in-house, nothing about it is locked to us.
Guides on this topic
All guides Stop finding out about a stockout after it happens.
Order AI Inventory Intelligence and get per-SKU stock forecasts built from your own sales history on a fixed delivery date, with alerts before shelves run empty.
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