Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Autocanteen Optimises the Checkout Process with Artificial Intelligence

Like in many industries today, artificial intelligence (AI) is shaking up everyday, normal life. For the food service industry in particular, it’s already seen in the data collection and supply chain optimisation, and now a new vendor is looking to optimise the checkout process, too. Intel’s Mike Philpott, Partner Sales Development Manager and host…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Mike Philpott · Artificial IntelligenceAutocanteenAutomationContactless Self-checkout Solution
Share

Key takeaways

01

Like in many industries today, artificial intelligence (AI) is shaking up everyday, normal life.

02

For the food service industry in particular, it’s already seen in the data collection and supply chain optimisation, and now a new vendor is looking to optimise the checkout process, too.

03

Intel’s Mike Philpott, Partner Sales Development Manager and host…

Like in many industries today, artificial intelligence (AI) is shaking up everyday, normal life. For the food service industry in particular, it’s already seen in the data collection and supply chain optimisation, and now a new vendor is looking to optimise the checkout process, too. Intel’s Mike Philpott, Partner Sales Development Manager and host of Optimising the Future podcast, spoke with Sergii Khomenko, co-founder of Autocanteen, about how the organisation’s technology is transforming restaurant, catering, and canteen operations by providing a contactless self-checkout solution through the utilisation of AI.

Khomenko explained where the inspiration for Autocanteen came from, and like every good story, it came from a common, everyday experience. While at a lunch, Khomenko witnessed a cashier performing very monotonous work to process payments. The checkout procedure was time consuming and manual, which meant the queue for getting customers through was lengthy and slow. As one can imagine, nobody likes waiting in a line, especially when they are hungry and ready to eat, so losing customers due to time or dissatisfaction is an issue. Because of this experience and observation, Khomenko and his colleagues began wondering if automation was an option for the canteen checkout process.

Using computer vision and machine learning, Autocanteen created an innovative checkout process that is capable of processing an order and checking out a guest in a mere 10 seconds — significantly shortening the queue, increasing checkout throughput, decreasing food waste, and ultimately leading to a higher revenue stream. However, the road to making these big outcomes in the food service industry did not quite go according to plan… at first.

“By the time we had our product production-ready, the world faced the COVID pandemic, and at that time, hospitality was heavily affected with many sites closed and employees had to requalify,” Khomenko explains. “Fast forward a year or two, businesses reopened, so restaurants reopened, cafeterias, canteens, and it was challenging for these businesses to hire staff again.” This is where Autocanteen was able to showcase the many benefits of its ground-breaking technology and solve a big gap in the food service industry by extending capabilities through self-service, reducing manhours needed to run an establishment, eliminating queues, and reducing waste.

To discover more about Autocanteen’s AI solution, connect with Sergii Khomenko on LinkedIn or visit Autocanteen’s website.

About the author

MP
Mike Philpott

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Software & Technology expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Anthropic and Blackstone launch Ode, a $1.5B bet that AI implementation beats model-building

Anthropic and Blackstone launch Ode, a $1.5B bet that AI implementation beats model-building

Anthropic and Blackstone have initiated Ode, a $1.5 billion joint venture aimed at integrating AI into enterprises more effectively. The venture involves embedding engineers within companies to ensure AI models are implemented rather than merely developed. This approach is supported by key investors such as Goldman Sachs and Hellman & Friedman.

  • 01Ode is a $1.5 billion venture focused on AI implementation within enterprises.
  • 02The initiative involves embedding engineers directly into companies.
  • 03The venture is backed by investors including Blackstone, Goldman Sachs, and Hellman & Friedman.

Jul 23, 2026

Only 11% of S&P 500 firms have deeply integrated AI, MIT-led study finds

Only 11% of S&P 500 firms have deeply integrated AI, MIT-led study finds

A study led by MIT FutureTech and Carnegie Mellon has revealed that only 11% of S&P 500 firms have achieved deep integration of AI technologies. This finding comes despite increased interest and investment in AI following the rise of tools like ChatGPT. The study suggests that many companies are still in the early phases of adopting AI on a large scale.

  • 01Only 11% of S&P 500 companies have deeply integrated AI.
  • 02The integration of AI has not kept pace with the growing interest post-ChatGPT.
  • 03Many firms remain in early stages of AI adoption despite technological advances.

Jul 22, 2026

SAP reshuffles spending and research to chase agentic AI returns

SAP reshuffles spending and research to chase agentic AI returns

SAP is reallocating its spending and research efforts towards agentic AI, stopping non-AI hiring and travel to focus resources. The expected return on investment for enterprise AI is predicted to increase from 16% to 21% by 2026, with agentic AI anticipated to significantly expand these returns.

  • 01SAP is freezing non-AI related hiring and travel expenses to concentrate on agentic AI development.
  • 02Enterprise AI return on investment is projected to rise from 16% to 21% by 2026.
  • 03Agentic AI is expected to quadruple investment returns for enterprises.

Jul 22, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

MP
Mike Philpott

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512