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 expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. 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

Enterprise AI's adoption gap: investment is up, but security, data, and accountability are lagging

Enterprise AI's adoption gap: investment is up, but security, data, and accountability are lagging

Enterprise investments in AI are rising, with 86% of C-suite executives increasing their budgets. Despite this, only 32% report a sustained impact from these investments. New threats like prompt injection and shadow AI are contributing to the challenges.

  • 0186% of C-suites are increasing AI investment.
  • 02Only 32% report sustained impact from AI investments.
  • 03Prompt injection and shadow AI are emerging as new threats.

Jul 7, 2026

Apple Spent Years Insourcing Chips. It Just Locked Broadcom In Through 2031.

Apple Spent Years Insourcing Chips. It Just Locked Broadcom In Through 2031.

Apple extended its supplier agreement with Broadcom through 2031 for custom wireless and networking chips, choosing to lock in a critical supplier rather than insource these components despite years of vertical integration efforts. The deal reflects a broader supply-chain lesson: securing long-term contracts with specialized suppliers reduces volatility and risk more effectively than pursuing complete vertical integration.

  • 01Vertical integration has limits; even well-resourced companies benefit from locking in specialized suppliers over attempting to build everything in-house
  • 02Long-term supplier contracts reduce planning uncertainty for both parties, particularly when one customer represents 20 percent of supplier revenue
  • 03Demand for bespoke silicon designed for specific buyers is becoming central to semiconductor business, making strategic supplier relationships more valuable than transactional ones

Jul 7, 2026

Y Combinator's B2B roster hits 2,623 startups as demand for specialized services accelerates

Y Combinator's B2B roster hits 2,623 startups as demand for specialized services accelerates

Y Combinator's B2B portfolio has reached 2,623 startups as demand for specialized services continues to grow. The consulting market is projected to reach $260.5 billion according to Forbes. This indicates a thriving environment for B2B services driven by innovation and specialization.

  • 01Y Combinator has funded 2,623 B2B startups.
  • 02The consulting market is projected to reach $260.5 billion.
  • 03There is increasing demand for specialized B2B services.

Jul 7, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

MP
Mike Philpott