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New AI capabilities in Nayax’s mobile app MoMa help unattended and self-service operators get answers faster, make better decisions, and take action from their phones

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 make better and more informed business decisions, and act faster from wherever they are.

Across self-service categories, operators are running leaner businesses with tighter margins and making more decisions on the go. Many are not only business owners but also route planners, technicians, stock managers, and customer support, often moving between locations while trying to keep every machine, site, and transaction under control. Their challenge is turning the right data into decisions that maximize operators’ time and bottom line, helping them grow efficiently and at scale.

“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 in a recent press release. “Every feature we build starts with the same question: what does the operator need to run a better and more profitable 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.”

MoMa already helps operators manage their business from anywhere. From their phone, operators 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 AI features include:

  • AI Assistant: The AI assistant answers questions based on the operator’s own business data. Operators can ask which machines are underperforming, why revenue dropped at a specific location, all without building a report or searching through multiple dashboards.
  • Planogram Suggestions: This uses machine-level sales data to recommend changes to product mix and placement, helping operators see which products to swap, which slots to prioritize, and which products may no longer deserve space in a specific machine.
  • Visual Recognition Planogram Suggestions: Operators can take a photograph of their vending machine, and MoMa builds the planogram from the image, up to five times faster than mapping it manually. This makes it easy to add planograms and enrich the business data that drives better decisions.

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 AI layer, including AI Assistant, Planogram Suggestions, and Visual Recognition Planogram Setup, is rolling out to MoMa users across iOS and Android in all markets where MoMa is available.

About Nayax

Nayax is a global commerce enablement, payments and loyalty platform designed to help merchants scale their business. Nayax offers a complete solution including localized cashless payment acceptance, management suite, and loyalty tools, enabling merchants to conduct commerce anywhere, at any time. With foundations and global leadership in serving unattended retail, Nayax has transformed into a comprehensive solution focused on our customers’ growth across multiple channels. As of March 31, 2026, Nayax has 13 global offices, approximately 1,250 employees, connections to more than 80 merchant acquirers and payment method integrations and is globally recognized as a payment facilitator. Nayax’s mission is to improve our customers’ revenue potential and operational efficiency — effectively and simply. For more information, please visit nayax.com.

Published On: July 20, 2026Categories: Vending Technology & Security NewsTags:

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