KPI benchmark
How much does AI increase revenue?
Across 10 public AI deployments, the median revenue uplift is 20%, and the middle half of them report between 6.3% and 21.8%. Relative increase in revenue attributed to the use case.
20%
Median revenue uplift
6.3% to 21.8%
Middle half of deployments
10
Public deployments pooled
4 of the 10 values are claims by the organization itself, a regulator or an independent study; 6 come from the AI vendor. One value per organization; "up to" claims are listed but not pooled. Data as of 14 October 2026. Methodology
Revenue uplift by industry
| Industry | Median | Deployments |
|---|---|---|
| Travel and hospitality | 22% | 5 |
Revenue uplift by use case
| Use case | Median | Deployments |
|---|---|---|
| AI copilot for hotel revenue management | 25.2% | 4 |
How to measure it
Revenue in the treated group versus a control group.
Across the library
Median 20% across 10 deployments, reported range 2.1% to 33%.
Higher is better. Unit: percent.
Reported values by use case
AI copilot for hotel revenue management
- Hôtel Swexan33% · vendor claim
- RIMC Hotels & Resorts Group28.4% · organization claim
- Nayara Resorts22% · organization claim
- Amanta Hotels & Residencies21% · organization claim
AI computer vision for store shelf and stock monitoring
- GoGo SqueeZ7% · vendor claim
- Henkel2.1% · vendor claim
AI forecasting of wind and solar generation for grid balancing and trading
- Googleabout 20% · organization claim
AI marketing personalization at scale
- Radisson Hotel Groupat least 20% · vendor claim
AI order fraud screening for ecommerce checkout
- Mango6% · vendor claim
AI size and fit recommendation for online fashion
- THE ICONIC6% · vendor claim
Use cases that should track revenue uplift
- Agentic checkout for merchants, selling through third party AI shopping agents
- AI agent for automated sports highlights and clipping
- AI agent for inbound lead qualification and meeting booking
- AI agent for outbound sales prospecting and personalized outreach
- AI agent for personalized offers and rewards
- AI agent for proactive customer outreach, activation and retention
- AI assistant for telecom plan upgrades, add ons and sales
- AI computer vision for store shelf and stock monitoring
- AI copilot for hotel revenue management
- AI demand forecasting and automated replenishment for retail
- AI dubbing and voice localization for video
- AI dynamic paywall and subscription propensity scoring
- AI dynamic pricing and markdown optimization for retail
- AI for insurance renewal processing and customer retention
- AI for telecom churn prediction and retention offers
- AI forecasting of wind and solar generation for grid balancing and trading
- AI generated live sports commentary and data storytelling
- AI loyalty and rewards program personalization
- AI marketing personalization at scale
- AI metadata tagging and indexing for media archives
- AI next best action prompts for wealth advisors
- AI order fraud screening for ecommerce checkout
- AI recommendation and personalization engine for streaming and media
- AI shopping assistant for product discovery and recommendations
- AI size and fit recommendation for online fashion
- AI trade promotion optimization for consumer goods manufacturers
- AI voice agent for drive through and phone order taking
- Conversational AI for insurance quote and buy
Frequently asked questions
- How much does AI increase revenue?
- Across 10 public AI deployments, the median revenue uplift is 20%, and the middle half of them report between 6.3% and 21.8%. Relative increase in revenue attributed to the use case.
- How do you measure revenue uplift?
- Revenue in the treated group versus a control group.
- What revenue uplift do organizations in travel and hospitality report?
- A median of 22% across 5 deployments in travel and hospitality. Other industries have fewer than 3 reported values so far.
- Do AI vendors report a different revenue uplift than the organizations themselves?
- Claims by the organizations themselves, regulators or independent studies have a median of 21.5% (4 values); claims by the AI vendor have a median of 6.5% (6 values). The page lists both, and every value links to its source.
- Where do these revenue 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 14 October 2026.