Machine Customer
A machine customer is a non-human economic actor, such as an AI agent or automated system, that obtains goods or services in exchange for payment on behalf of a person or organization. Gartner, which uses the related term "custobot," describes machine customers as acting under rules set by people at first and gaining more discretion over time. For brands, the buyer becomes software that reads data before it ever sees a story.
What is a machine customer?
A machine customer is software or a connected device that decides on and completes purchases for a human or an organization. Gartner defines it as a non-human economic actor that obtains goods or services in exchange for payment, and uses "custobot" for the same idea. The machine acts for a person or company, which still sets the goals and limits.
What stages do machine customers move through?
Gartner describes machine customers developing in three stages, with each stage giving the machine more freedom. The table summarizes them. This is an analyst framework, and real products do not always fit neatly into one stage.
| Stage | How it behaves | Illustrative example |
|---|---|---|
| Bound | Follows fixed rules set by a person | A device that reorders a supply when stock falls below a set level |
| Adaptable | Chooses among options within limits | An assistant that picks a supplier from a pre-approved list |
| Autonomous | Acts independently toward a goal | An agent that researches, negotiates and buys for a user |
What are examples of machine customers?
Machine customers range from simple automated reorders to AI shopping agents. Common examples include:
- Connected appliances that reorder consumables.
- Procurement software that places routine orders with approved vendors.
- AI assistants that compare products and complete a purchase for a user (see shopping agent).
- Automated systems that renew subscriptions or services.
How do machine customers change marketing?
Machine customers change what a brand must be good at: being found, understood and trusted by software. A machine evaluates inputs such as structured data, stated policies, reviews and source reputation. It does not respond to design or emotion in the way a person does. That does not make brand unimportant, because people still set the preferences the machine follows. It means accurate, machine-readable information carries more weight at the moment of selection.
Gartner has forecast that by 2030 machine customers will be directly involved in, or influence, trillions of dollars in purchases. Forecasts like this are uncertain, and the pace of adoption depends on technology, trust and regulation.
How can a brand prepare?
- Keep product, price, availability and policy data accurate and consistent wherever it is published.
- Provide clean product information in formats software can read.
- Make sure the facts about the brand match across its own site and trusted third-party sources.
- Review how AI assistants describe the brand today with a prompt audit.
- Watch how agent-based checkout and discovery develop, since standards and platform programs change quickly.
Illustrative readiness checklist (example only)
- Product data matches the website and any feeds.
- Return, shipping and warranty terms are stated plainly.
- Brand facts are consistent on major profiles.
- A named owner reviews AI answers about the brand each quarter.
These steps can improve how clearly a brand is understood. They do not guarantee that an agent will choose it, and AI systems change often. No outcome is guaranteed.
Frequently asked questions
What is a machine customer?
It is a non-human actor, such as an AI agent or automated system, that buys goods or services for a person or organization.
What does custobot mean?
Custobot is Gartner's shorthand for a machine customer, a blend of customer and robot.
Does a machine customer decide on its own?
It depends on the stage. Early machine customers follow rules set by people, while more advanced ones choose within limits or act toward a goal. A person or company still sets the goals and limits.
Why do machine customers matter for marketing?
When software shortlists or selects products, visibility depends on accurate, machine-readable data and trusted sources, not only on persuasive copy.
Are machine customers widespread today?
Simple automated reorders are common, while fully autonomous purchasing is still developing. Check current product and platform announcements, because the situation changes quickly.
Related terms and services: Agentic commerce glossary | Shopping agent | Agentic checkout | Delegated purchase | Agent discovery | AI visibility | GEO optimization
Sources
- CIO Dive, Gartner on machine customers
- CX Today, 50% of CEOs Have or Plan to Develop a Strategy for Machine Customers, Says Gartner
- The Register, Billions of custobots are coming online
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By the 5W Editorial Team. Reviewed by a human editor before publication. Updated October 28, 2026.