Where do these throughput uplift 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 11 November 2026.

KPI benchmark

How much does AI raise yield and throughput?

Across 3 public AI deployments, the median throughput uplift is 1.5%. Relative increase in the yield or throughput of a process or plant.

1.5%

Median throughput uplift

Public deployments pooled

1 of the 3 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 11 November 2026. Methodology

How to measure it

Output or yield per hour, batch or unit of input, before and after, at the same quality specification.

Across the library

Median 1.5% across 3 deployments, reported range 1% to 2%.

Higher is better. Unit: percent.

Reported values by use case

AI for autonomous control of industrial plant processes

Big West Oil LLC2% · organization claim
Oxbowat least 1% · vendor claim

AI review of batch records and process data for quality deviations in pharma manufacturing

Recordati1.5% · vendor claim

Use cases that should track throughput uplift

Frequently asked questions

How much does AI raise yield and throughput?: Across 3 public AI deployments, the median throughput uplift is 1.5%. Relative increase in the yield or throughput of a process or plant.
How do you measure throughput uplift?: Output or yield per hour, batch or unit of input, before and after, at the same quality specification.
Where do these throughput uplift 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 11 November 2026.