HERZLIYA, Israel, July 7, 2026 – Nayax Ltd., a global commerce enablement, payments, and loyalty platform, today announced a new AI layer in MoMa, its mobile management app for unattended and self-service operators, designed to help operators know what matters, make better decisions, and act faster from wherever they are.
Running an unattended or self-service business means making decisions without always being on site. Operators run leaner today, often acting not only as business owners but also as route planners, technicians, stock managers, and customer support, moving between locations to keep every machine, site, and transaction under control. Their challenge is turning the right data into decisions that maximize their time and bottom line, helping them grow efficiently and at scale.
That is the idea behind the new AI layer in MoMa. With new capabilities like the AI Assistant, Planogram AI Suggestions, and Visual Recognition, Nayax helps operators move from monitoring their business to knowing what matters most. It reflects Nayax’s focus on ease of doing business: giving operators the confidence to make better decisions and the ability to act on them.
Joshua Lloyd, a six-year Nayax customer who manages more than 200 vending machines across the United Kingdom with JDJ Vending Services Ltd, said Nayax gives him confidence without needing to carry every machine in his head all day.
“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,” said Lloyd.
MoMa already helps operators manage their business from anywhere. From their phone, they can monitor sales and machine activity, manage inventory and planograms, update prices, process refunds, and handle remote actions across one machine or a full fleet. The new AI layer strengthens that operating flow: know, control, and act.
Operators can now know what is happening, with real-time AI insights across sales, machines, stock, and unusual activity. The MoMa AI Assistant answers questions in plain language from the operator’s own business data, so they can ask which machines are underperforming or why revenue dropped at a location, without building a report or digging through dashboards.
They can control decisions with AI-driven data. Planogram AI Suggestions uses machine-level sales data to recommend changes to product mix and placement, showing which products to swap, which slots to prioritize, and which no longer earn their space. Demand-based smart picklists help operators restock smarter and plan site visits around what machines actually need.
And they can act faster, with remote and bulk actions from price changes and restarts to refunds and firmware updates across the fleet. With the AI layer built in, operators act on the insights that matter.
Visual Recognition reduces the manual work of planogram setup: an operator photographs a machine and MoMa builds the planogram from the image, up to 5X faster than mapping it by hand. This makes it easy to add planograms and enrich the business data behind better decisions.
“Our customers run their businesses on their own time and capital, and our job is to make that simpler,” said Yair Nechmad, CEO and Co-Founder of Nayax. “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.”
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