Problems discovered too late
Stock-outs, failed payments and downtime can cost sales before anyone notices.
Your telemetry tells you what's happening. Autonomous Vending helps you decide what to do next — across your entire fleet, even when machines use different systems.
Hundreds of machines produce thousands of events. Teams still have to figure out what matters, where to go first, and which action protects the most revenue.
Stock-outs, failed payments and downtime can cost sales before anyone notices.
Multiple telemetry providers, equipment models and disconnected operating workflows.
A technical event tells you what happened. It doesn't tell you the commercial impact or the next best action.
We work with available telemetry and fleet data to predict avoidable revenue losses, prioritize interventions, recommend commercial actions and measure their impact. One intelligence layer across multiple systems.
Sales · Stock · Payments · Errors · Connectivity
Integration with each telemetry system depends on available APIs, permissions and accessible data. Recommendations are reviewed and approved by the operator.
Identify likely stock-outs, abnormal payment patterns and operational risks before they become avoidable losses.
Rank service, replenishment and commercial actions by urgency and estimated revenue at risk.
Explore recommendations for pricing, promotions, product mix, bundles and product visibility.
Not another list of alerts. A commercially prioritized daily queue that links each issue to a recommended response, urgency and estimated revenue impact.
Identify impending stock-outs, payment failure patterns, declining conversion, downtime risks and stalled sales before avoidable losses accumulate. Forecasts consider demand and the next scheduled replenishment.
Rank machines by probability of failure, expected loss, urgency, location importance and active reservations. Separate critical service tasks from lower-impact issues and machines needing no action.
Recommend pricing by demand and time, targeted promotions, bundles, better product visibility and location-specific assortment changes. Review outcomes and refine recommendations using actual sales data.
Track estimated lost sales, prevented stock-outs, downtime hours, unnecessary service visits, revenue per machine and the effect of approved recommendations. No percentage improvements are claimed without measured results.
Managers can request operational reports in everyday language instead of manually navigating dozens of dashboards. The AI interface can return an explanation, a table, a chart, a list of locations or a draft task.
Prioritized machine list · affected SKUs · estimated stock-out time · revenue at risk · recommended route changes.
Illustrative AI conversation, not a live connection to a vending fleet. Financially significant changes and critical operations require human confirmation.
Standard VMS typically reports operational status. Our connected-retail layer extends the view to commercial decisions, sales availability, remote configuration and new purchasing journeys.
Capabilities depend on machine interfaces, available data and the enabled hardware/software configuration.
A secure digital layer between compatible equipment, payment infrastructure and the management platform. The original local controller continues to manage safe dispensing and machine mechanisms; authorized digital commands are sent through a controlled channel.
Compatible adapters and secure connectivity provide access to available machine events, sales, stock and service information.
Where supported, remotely manage SKUs, pricing, availability, promotions and on-screen content with appropriate approval controls.
Explore card and QR payments, online pre-order, reservation and QR-code pickup on compatible hardware.
Bring vending, coffee, water and other self-service points into a coordinated workflow.
Different capabilities, one commercial objective: better performance from the fleet you already operate.
Flag stock-outs and downtime risks earlier.
Prioritize visits based on business impact.
Evaluate pricing, bundles and promotions.
Explore reservations, digital offers and pickup.
Go beyond impulse purchases. Customers can check product availability, pay online, reserve an item in a specific compatible machine and collect it using a QR code or short code.
Open the operator app, website or partner interface and browse nearby machines, product selection and confirmed availability.
Choose a location, complete online payment and receive a QR code or short pickup code. The item is reserved for a defined period.
Visit the selected machine, scan the QR code or enter the short code. The machine validates the order and dispenses the reserved item.
Record payment, dispensing and pickup in the event log. Uncollected reservations expire and release stock according to configured rules.
Pre-order is enabled only for machine models, compartments and product categories where inventory and dispensing can be verified reliably. Reservable stock accounts for confirmed inventory, active reservations and any operational safety buffer. If availability is uncertain, the item is not offered for reservation; the customer can be directed to another location or an alternative product.
Traceable order lifecycle: reservation → price → payment → fiscal event (where applicable) → dispensing → pickup → service action. Uncollected and failed orders remain traceable for investigation.
Update the commercial experience across a single location, a group of machines or the network, wherever supported by equipment and integration.
Update product names, descriptions, images, SKUs, prices and availability. Synchronize approved prices across the screen, shopping cart, reservation flow and reporting.
Schedule morning, evening, seasonal and location-based promotions. Offer alternatives for unavailable items and create bundles such as coffee + snack or water + protein bar.
Role-based permissions, authorized approvals, change history, effective dates, bulk-change restrictions, delivery confirmation and rollback help protect financial and operational integrity.
Monitor connectivity, sales, inventory, consumables, failed transactions, payment and dispensing errors, fiscal reconciliation, service events, active reservations and order history. Coordinate replenishment, cash collection, maintenance and route planning from the actual state of each location.
Dedicated capabilities and business opportunities for the organizations that own, manufacture, integrate and operate unattended retail.
Designed for mixed unattended-retail environments. Available telemetry, controls, payments and reservation features vary by machine model and technical compatibility.
Consumables, ingredient levels, beverage sales, service and promotions.
SKU inventory, product availability, replenishment and QR pickup where supported.
Water stations, consumption and available operational events.
Compatible unattended equipment with suitable interfaces, controls and data access.
Business centers · Offices · Residential complexes · Fitness clubs · Universities · Banks · Other public or private locations with unattended retail demand.
No fleet-wide replacement is required. Compatible existing machines can be modernized through adapters and a digital layer. Actual capabilities depend on controllers, interfaces, payment hardware and available connectivity.
The AI intelligence architecture is designed to unify available fleet data across systems such as Nayax, Televend, Cantaloupe and other VMS/IoT sources. Specific integrations depend on APIs, data access and permissions.
Telemetry reports status, sales and events. Autonomous Vending adds revenue-at-risk prioritization, recommended actions, commercial management and new digital sales workflows where supported.
Yes, as a connected-retail scenario for compatible machines where stock availability and successful dispensing can be confirmed. Reservations are not offered where inventory accuracy is insufficient.
No. Financially significant or critical changes require authorized human confirmation. Operator-defined autonomous execution is described as a future direction, not an assumed live feature.
Natural-language requests can cover no-sales machines, upcoming stock-outs, revenue drops, unfulfilled paid orders, unresolved service tasks and locations where promotions are appropriate.
Discuss connected vending, revenue intelligence, retrofit integrations, white-label partnerships and new digital sales scenarios.
artiom@autonomous-vending.com · serghei@autonomous-vending.com