Software and payment company SpotOn has unveiled operator-first AI vision technology aimed at driving profitability and simplicity in restaurant technology.
The company said that its significant AI advancements reinforce its commitment to building intelligent, integrated solutions that enhance margins, save time, and simplify decision-making in the hospitality sector.
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Amidst a slowdown in consumer spending and fluctuating costs, SpotOn is making AI accessible for independent restaurants with tools specifically designed to simplify a host of back-office tasks.
Earlier in 2025, SpotOn tested ‘Picked for You’, an AI-driven component for its SpotOn Order online ordering system, created in collaboration with Amazon Web Services.
This feature suggests menu items to online customers, boosting conversion rates and order volumes for eateries.
By analysing customer behaviour and preferences, SpotOn’s AI mimics Amazon’s recommendation engine, adapting to factors like time of day and popular items, leading to more online orders and fewer abandoned carts, all with no extra work for restaurant staff.
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By GlobalDataSpotOn’s AI offerings also include Marketing Assist, launched in 2024, which automates customised email and social media campaigns by leveraging guest data and business goals, potentially saving operators around five hours weekly.
The company’s approach to AI mirrors the hospitality ethos of its restaurant clientele: attentive, adaptive, and progressive.
Taking cues from chefs who refine their menus based on customer feedback, SpotOn develops products that evolve with operator input.
The company’s AI vision extends across its entire platform, employing smart tech to minimise obstacles, reveal opportunities, and therefore to conserve time for operators.
SpotOn chief product officer Bryan Solar said: “Restaurant operators need AI that fits into their workflow and helps protect their profit margin. That’s the core of our AI vision: practical, integrated technology that makes it easier for restaurants to do more with less—without compromising service quality or getting buried in complexity.”
