Ask questions about machines, locations, products, prices, telemetry, counters, transactions, and events without building every query by hand.
Find the right price, planogram, recipe, or configuration context and prepare changes with machine-aware guidance.
Spot anomalies, compare performance, summarize availability, and identify machines or sites that need attention.
Prioritize service from faults, health signals, last-seen status, usage, and recurring operational events.
Create management summaries, operational reports, sales explanations, and service briefings from normalized fleet data.
Prepare replenishment, service, price, and configuration workflows while keeping people in control of execution.
Veetamine AI services are hosted in Switzerland, keeping the service location explicit for customers and their governance requirements.
Use authorized Veetamine data for the customer’s request without making the fleet a public knowledge source.
Apply secure credentials, scoped access, encrypted transport, tenant boundaries, and audit-ready operational controls.
Ground answers in retrieved data, respect capabilities, explain uncertainty, and require approval before sensitive actions.
Find machines, sites, locations, last-seen status, availability, metadata, and fleet relationships.
Read health signals, sensor values, counters, events, faults, and operational timelines.
Retrieve catalogs, selections, assortments, prices, variants, and machine-facing product context.
Summarize sales, vending activity, payment telemetry, transaction status, and reconciliation context.
Investigate faults, maintenance signals, cleaning status, recurring issues, and service priorities.
Build fleet reports, compare periods or locations, explain trends, and prepare operational summaries.
Inspect supported configuration and prepare price, recipe, planogram, or product changes within the permitted scope.
Request supported operations such as reboot or updates only when the connector, model, permissions, and approval policy allow them.