Skip to content
MarketScale
‹ Back to Industries

Software & 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

New to MarketScale?

MarketScale is the platform Software & Technology companies use to turn their own experts into content like this. Want the short overview?

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

Tech Mahindra and Telefónica Germany expand partnership to build private cloud platform

Tech Mahindra and Telefónica Germany expand partnership to build private cloud platform

Tech Mahindra and Telefónica Germany are enhancing their collaboration to develop an advanced private cloud platform and Platform as a Service (PaaS) solution. This development aims to support telecom and enterprise workload operations. The expanded partnership builds on an existing multi-year agreement between the two companies.

  • 01Tech Mahindra and Telefónica Germany are expanding their partnership.
  • 02The aim is to create a next-gen private cloud and PaaS.
  • 03The platform will support telecom and enterprise workloads.

Jun 29, 2026

Enterprise AI hits an inflection point as companies rein in spending and demand real results

Enterprise AI hits an inflection point as companies rein in spending and demand real results

Enterprise AI is experiencing a shift as companies become more stringent with their budgets and prioritize tangible results. OpenAI has reported that over 40% of its revenue now comes from enterprise clients. This trend is leading to a reassessment of how AI investments are utilized in corporate environments.

  • 01Companies are tightening AI budgets and seeking real results.
  • 02OpenAI's enterprise revenue now exceeds 40%.
  • 03There is a shift towards efficiency in AI spending.

Jun 28, 2026

Strong AI governance can lower insurance premiums and board liability

Strong AI governance can lower insurance premiums and board liability

AI governance platforms in the insurance industry are proposed to offer benefits similar to those provided by responsible behavior in other insurance areas, like health and auto policies. The proponents argue that implementing strong AI governance can lead to lower insurance premiums for companies and reduce liability concerns for board members. This concept aligns with existing practices of rewarding safety and risk management measures with financial incentives.

  • 01AI governance can reduce insurance premiums.
  • 02Proper governance lowers board liability in companies.
  • 03Insurance rewards responsible risk management behavior.

Jun 26, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

MP
Mike Philpott