Stockout Monitoring

Catch stockouts before they cost you rank

A 48-hour stockout doesn't just lose sales — it drops your organic ranking, kills your Buy Box, and takes weeks to recover. We monitor inventory status hourly across retailers and alert your team within minutes.

Real-time  ·  Webhook  ·  Per-SKU loss calc
stockout dashboard · brand Z · liveLIVE
Echo Dot 5th Gen
Amazon US → Out of Stock
14h
Fire TV Stick
Walmart US → Low Stock
Restocked
Kindle Paperwhite
Best Buy → In Stock
OK
Ring Doorbell Pro
Target US → Out of Stock
6h
inventory status · refreshed hourly
Hourly OOS checks
Real-time
All hero SKUs
Recovery alerts
Webhook
When back in stock
Revenue impact
Per-SKU loss calc
Prioritize action
Multi-retailer view
Single dashboard
50+ retailers
What we capture

Structured data, ready for your team.

01

Stock status per SKU

In stock, low stock, OOS, unavailable — captured per retailer.

02

Stockout duration

How long has each SKU been out — hours, days.

03

Geo/pincode-level

Same SKU OOS in one pincode but not another.

04

Buy Box impact

When OOS makes you lose Buy Box.

05

Search rank impact

Rank drop correlation with stockout duration.

06

Recovery detection

Webhook fires when SKU restocked.

07

Revenue loss estimate

Estimated revenue lost per stockout event.

08

Substitute behavior

Which competitor product replaces you when OOS.

09

Historical OOS log

Every event timestamped for trend analysis.

Why this matters

The market signals driving demand for this data.

icon

Stockouts cost 3x

1) Lost sale today, 2) Ranking drop tomorrow, 3) Customer loss forever. The triple cost.

icon8

48-hour rule

Beyond 48 hours OOS, Amazon's algorithm starts dropping you. Recovery takes 2-3 weeks.

icon

Buy Box loss cascades

OOS at fulfillment center makes another seller win Buy Box — they may keep it after you restock.

icon

Geo-OOS is hidden

Your dashboard says "in stock" but pincode 110001 sees OOS. We catch this.

Use cases

What teams do with this data.

Inventory team alerts

Real-time SKU OOS alerts to supply chain team.

Sales triage

Daily OOS report by revenue impact for ops review.

Forecast accuracy

Compare forecast vs actual stockout patterns.

Fulfillment partner audit

3PL stockout patterns vs SLA.

Retailer commercial review

OOS data for Walmart/Target JBP discussions.

Lost sales reporting

Quantify OOS-driven revenue loss for finance.

Competitor opportunity

Spot when competitors stock out — push promotions.

Restocking prioritization

Triage what to ship first by revenue impact.

Promo planning

Avoid promos on SKUs running low stock.

How it works

From request to first dataset in 24 hours.

STEP 01

Define scope

Categories, geos, refresh frequency.

STEP 02

Free sample

Sample dataset within 24 hours.

STEP 03

Production pipeline

Refresh at your chosen cadence.

STEP 04

Iterate & scale

Expand coverage as needs grow.

Questions, answered

FAQs

Hourly for hero SKUs, daily for tail SKUs. Custom cadence available — sub-hourly possible for top 100 SKUs.

Yes — for retailers exposing pincode/zone inventory (Blinkit, Zepto, some Walmart categories).

Webhook fires within 60-90 seconds of OOS detection. Email/Slack within 5 minutes.

Yes — we estimate revenue loss using historical sales velocity × stockout hours.

Amazon, Walmart, Target, Best Buy, Flipkart, Myntra, Meesho, Blinkit, Zepto, Tesco, Carrefour and 50+ more.

Get a free sample dataset

See the exact fields, accuracy and format — for your products, on your target sites — before you spend a rupee or a dollar.

  • Sample delivered within 24 hours
  • Scoped to your real use case, not a generic demo
  • No obligation, no long contract

Tell us what you need

A specialist replies within one business day.