Know when products go missing, and where.
An out-of-stock product earns nothing and pushes shoppers to a rival. We track availability signals, delivery promises and, where shown, stock counts across retailers, marketplaces and quick-commerce zones, so gaps are found and fixed quickly.
Availability can differ by city, dark store and seller, and it changes through the day. Suppliers usually learn about stock-outs from weekly sell-out reports, long after the lost sales have happened.
You see which products are unavailable, where, and for how long. Persistent gaps can be raised with retail partners with dated evidence, and replenishment can be prioritised where the impact is highest.
Everything needed to run it in production.
Availability status
In stock, low stock, out of stock and pre-order states captured as shown, with the raw label retained.
Stock counts where visible
Where a site shows remaining quantities or maximum basket limits, we capture the number for trend analysis.
Location granularity
Availability checked by store, postcode or delivery zone to reveal local gaps hidden by national averages.
Delivery promise
Estimated delivery dates or time windows are captured, as slower promises often precede a stock-out.
Out-of-stock duration
Consecutive captures are linked so you can measure how long each product has been unavailable.
Alerting
Rules trigger notifications when priority SKUs go out of stock in key locations.
What lands in your systems.
| captured_at | source | location | product | status | qty_shown | delivery_promise | oos_hours |
|---|---|---|---|---|---|---|---|
| 2026-07-08 08:00 | Q-comm App B | Doha West Bay | Infant formula stage 1 800g | out_of_stock | 14 | ||
| 2026-07-08 08:00 | Retailer K | Kuwait City | Basmati rice 5kg | low_stock | 3 | Tomorrow | 0 |
| 2026-07-08 08:05 | Marketplace A | Sydney | Laundry capsules 60 pack | in_stock | 2-3 days | 0 | |
| 2026-07-08 08:10 | Retailer L | Toronto | Coffee pods 50 pack | out_of_stock | 37 | ||
| 2026-07-08 08:10 | Retailer M | Santiago | Olive oil extra virgin 1L | in_stock | 12 | Same day | 0 |
Illustrative rows. Your schema, field names and formats are agreed during scoping.
Who uses it, and for what.
Key account teams share dated out-of-stock evidence with retailers during weekly reviews. Recurring gaps at specific stores are escalated with facts rather than impressions.
Category teams see when competitor products are unavailable. Short windows of competitor stock-outs become an opportunity to win shoppers.
Finance estimates lost sales from out-of-stock duration on high-velocity lines. The figures support investment cases for supply chain improvements.
Marketing pauses paid campaigns for products that are unavailable in a given region. Budget is not wasted on traffic that cannot convert.
- Scope. Tell us the sources, fields and frequency. We confirm feasibility within a day.
- Free sample. A real sample from your own target source, in your format.
- Build. Engineers build extractors tuned to each source. No generic templates.
- Validate. Automated and manual QA on every run before anything ships.
- Deliver and monitor. Scheduled delivery, monitored pipelines, fast fixes when sites change.
Related services
Industries that use it
Can you see actual stock quantities?
Only where the site or app displays them, for example as 'only 3 left' or a maximum basket quantity. Otherwise we capture the availability status and delivery promise, which are reliable indicators.
How do you check availability by store or zone?
We set the location on each request, using a store selector, postcode or geo-pinned app session. Results are tagged with the location ID so you can map gaps.
How is out-of-stock duration calculated?
We link consecutive captures for each SKU and location and measure the time since it was last seen in stock. Higher refresh frequency gives more precise durations.
Can we get alerts rather than files?
Yes. Alerts can be sent by email, webhook or message to your chosen channel when priority products go out of stock in defined locations.