Nayax adds AI layer to MoMa app for vending operators
Nayax Ltd. has enhanced its MoMa mobile app with a new AI layer to support vending and self-service operators. The rollout includes an AI Assistant for data queries, Planogram Suggestions for product optimization, and Visual Recognition for faster planogram setup. These tools are now available to iOS and Android users globally.

*this image is generated using AI for illustrative purposes only.
Nayax Ltd. has launched a new AI layer within its MoMa mobile management app, designed to assist unattended and self-service operators in making informed business decisions. The update aims to help operators maximize their time and profitability by turning data into actionable insights while they are on the move. The new features are rolling out to MoMa users across iOS and Android in all markets where the app is available.
Operators in the self-service sector often manage multiple roles, including route planning and inventory management, while dealing with tighter margins. The AI layer addresses the challenge of analyzing the right data to grow efficiently. MoMa already allows operators to monitor sales, manage inventory, update prices, and handle remote actions for single machines or entire fleets from their phones.
The AI features introduced include the AI Assistant, which answers questions based on the operator's business data without the need for manual report building. Planogram Suggestions use machine-level sales data to recommend changes in product mix and placement. Additionally, Visual Recognition Planogram Suggestions allow operators to photograph a vending machine, with MoMa building the planogram from the image up to five times faster than manual mapping.
"Every feature we build starts with the same question: what does the operator need to run a better and more profitable business?" said Yair Nechmad, CEO and Co-Founder of Nayax. He emphasized that the AI layer helps operators identify critical information and act faster from any location.
Key AI Features in MoMa
| Feature | Description |
|---|---|
| AI Assistant | Answers questions about underperforming machines and revenue drops using business data. |
| Planogram Suggestions | Recommends product swaps and slot prioritization based on sales data. |
| Visual Recognition | Creates planograms from machine photos, speeding up setup by up to five times. |
Nayax is a global commerce enablement, payments, and loyalty platform. As of March 31, 2026, the company operates 13 global offices with approximately 1,250 employees and connections to over 80 merchant acquirers.
How will the introduction of these AI features impact Nayax's competitive positioning against other payment and management platform providers?
What metrics will Nayax use to measure the adoption rate and effectiveness of the new AI layer among operators?
Does Nayax plan to integrate additional third-party data sources to enhance the accuracy of future Planogram Suggestions?

























