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LollyVerify: Enhancing Customer Experience with Age Identification Software
Lolly, a hospitality technology specialist, has introduced LollyVerify, a new facial recognition system designed to streamline and automate the process of verifying a customer's age in hospitality settings.
Key Features of LollyVerify:
Peter Moore's Perspective:Peter Moore, CEO at Lolly, expresses the company's commitment to improving the customer's digital journey by automating processes where possible. The integration of AI and machine learning aligns with the evolving landscape of the hospitality industry, and Lolly aims to bring innovative products like LollyVerify into its digital suite.
LollyVerify contributes to the ongoing evolution of hospitality technology, enhancing both operational efficiency and customer satisfaction.

A modern hospitality EPoS must offer more than payment handling. UK operators need real‑time reporting, centralised control and seamless integration to reduce admin, protect margins and improve compliance. Lolly’s connected ecosystem brings sales, stock, pricing and kitchen operations into one cloud platform, giving multi‑site teams clarity, consistency and stronger financial governance.

Lolly Introduces Carbon Food Scoring in App for Sustainable Dining Choices Lolly, the hospitality technology specialist, launches a carbon food scoring tool in its app, allowing customers to understand the carbon impact of their food and drinks. The tool calculates the CO2e value for each product, presenting it on a visual scale from low to high. Users can make informed choices, actively reducing their carbon footprint. The app provides real-time adjustments to the overall carbon rating based on users' food choices. Operators can send encouraging messages related to the CO2e score. With increasing focus on sustainability, this functionality aligns with the UK government's goals to reduce carbon emissions and enhances customer loyalty in the hospitality sector.

This article explores how AI can enhance the guest experience by removing friction rather than replacing people. It highlights changing guest expectations, the need for clean actionable data, the balance between helpful and intrusive personalisation and the importance of responsible AI. The message is clear: AI should empower hospitality teams, streamline operations and create space for genuine human connection.
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