TurinTech AI, a leader in AI-powered code optimisation, has announced it is exhibiting at Retail Technology Show 2024, the flagship event for retail.

Retail Technology Show is the event that brings together Europe’s most forward-thinking retailers and leading tech innovators, where retailers can fast-forward their digital transformation strategies and empower their businesses to thrive, survive and disrupt, powered by technological advancements and innovation. Taking place at London’s Olympia on 24-25 April 2024, the Retail Technology Show’s mission is to drive the industry forward through innovation, by bringing together the brightest minds in retail and future-forward technology providers.

TurinTech AI will be showcasing its two optimisation solutions, evoML and Artemis AI, on its stand 4B22. TurinTech AI combines the power of Artemis AI and evoML to enhance businesses’ software and machine learning projects. Artemis uses Large Language Models (LLMs) to improve code quality and performance by identifying inefficiencies and benchmarking optimal changes, making code run faster, greener and more efficiently.

evoML, on the other hand, helps data scientists and business users accelerate the delivery of high-performing ML models from months to weeks and improve ML code efficiency for faster running speed and higher profitability. Together, they offer a comprehensive solution for automating and optimising both AI and code, allowing businesses to focus on innovation while saving time and resources.


Dr Leslie Kanthan, CEO and Co-founder at TurinTech AI commented: “We’re joining the Retail Technology Show to showcase how our AI-driven optimisation solutions can revolutionise retail. Sustainability remains a strategic imperative for the retail sector in an era where shopping behaviours and consumer journeys are rapidly evolving, and our products offer retailers the agility needed to adapt quickly and sustainably. Artemis AI can help optimise retail operation software, making it more efficient, while evoML ensures that machine learning models are perfectly aligned with customer needs and market demands. Together, they empower retailers to deliver exceptional, personalised shopping experiences that meet consumer’s expectations for speed, personalisation, and sustainability.”