KPI benchmark
How much does AI reduce out of stocks?
Across 4 public AI deployments, the median out of stock reduction is 35%. Relative reduction in out of stock or empty shelf occurrences.
35%
Median out of stock reduction
4
Public deployments pooled
2 of the 4 values are claims by the organization itself, a regulator or an independent study; 2 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 29 September 2026. Methodology
Out of stock reduction by industry
| Industry | Median | Deployments |
|---|---|---|
| Retail and ecommerce | 50% | 3 |
Out of stock reduction by use case
| Use case | Median | Deployments |
|---|---|---|
| AI computer vision for store shelf and stock monitoring | 35% | 4 |
How to measure it
Out of stock or empty shelf events per store and period, from shelf audits or availability data, before and after or versus control stores.
Across the library
Median 35% across 4 deployments, reported range 4.3% to 60%.
Higher is better. Unit: percent.
Reported values by use case
AI computer vision for store shelf and stock monitoring
- BJ's Wholesale Club60% · vendor claim
- Wakefern Food Corp.50% · organization claim
- Schnuck Marketsat least 20% · organization claim
- Henkel4.3% · vendor claim
Use cases that should track out of stock reduction
Frequently asked questions
- How much does AI reduce out of stocks?
- Across 4 public AI deployments, the median out of stock reduction is 35%. Relative reduction in out of stock or empty shelf occurrences.
- How do you measure out of stock reduction?
- Out of stock or empty shelf events per store and period, from shelf audits or availability data, before and after or versus control stores.
- What out of stock reduction do organizations in retail and ecommerce report?
- A median of 50% across 3 deployments in retail and ecommerce. Other industries have fewer than 3 reported values so far.
- Where do these out of stock reduction numbers come from?
- From public AI deployments in the Blits.ai AI Use Case Library. Every value is quoted from a named source, each organization counts once, and "up to" claims are listed but left out of the median. Data as of 29 September 2026.