Nayax adds AI tools to its MoMa vending operations app
Nayax Ltd. has added a new AI layer to MoMa, its mobile management app for unattended and self-service operators. The update is designed to help operators use business data to identify issues, make faster decisions and take action from mobile devices.
Nayax said the new features include an AI assistant, AI-based planogram suggestions and visual recognition capabilities.
MoMa already allows operators to monitor sales and machine activity, manage inventory and planograms, update prices, process refunds, and perform remote actions on a single machine or a full fleet.
The AI layer expands the app’s capabilities by providing real-time insights across sales, machines, stock and unusual activity. According to Nayax, the MoMa AI Assistant answers plain-language questions using an operator’s business data. Operators can ask which machines are underperforming or why revenue dropped at a specific location without building a report or reviewing dashboards.
The “Planogram AI Suggestions” feature uses machine-level sales data to recommend changes to product mix and placement. The feature can show which products to replace, which slots to prioritize and which items may no longer justify their space.
The update also includes demand-based smart picklists to help operators restock machines and plan site visits based on what each machine needs.
The "Visual Recognition" feature is designed to reduce manual planogram setup. Operators can photograph a machine, and MoMa builds the planogram from the image. Nayax said the feature can be up to five times faster than mapping a planogram by hand.
The AI layer also supports remote and bulk actions, including price changes, restarts, refunds and firmware updates across a fleet.
Joshua Lloyd, a six-year Nayax customer who manages more than 200 vending machines across the United Kingdom with JDJ Vending Services Ltd., said the technology helps him monitor machines without being tied to each location.
“It helps me be a lot more present, even as a dad. I do not need to worry so much. I can just open my phone, see that all my machines are working, and go play with my son,” Lloyd said.
“Our customers run their businesses on their own time and capital, and our job is to make that simpler,” Nechmad said. “Every feature we build starts with the same question: what does the operator need to run a better business? The new AI layer in MoMa is another step in that direction. It helps operators know what matters, control decisions with better data, and act faster from wherever they are.”
Why this matters for convenience services operators
- Planogram automation can help operators improve machine-level performance by connecting sales data to merchandising decisions.
- Operators can use AI-powered insights to identify underperforming machines or locations without manually building reports.
- Route teams may be able to plan service visits around actual machine needs instead of fixed schedules.
- Mobile management tools can help smaller operators handle tasks that previously required more staff or more time at each location.