Manna Coffee Expands Its Automatic Kiosk Network: What Does the Economics of the Barista-less Coffee Model Say?

Is it necessary to have tables, chairs, a bar counter, and a full-time barista team to open a coffee sales point?

The growth model of Manna Coffee, based in the USA, provides a different answer to this question. The company aims to grow through small, staff-less coffee kiosks that can be placed in high-traffic locations such as offices, residences, universities, healthcare facilities, and sports centers. According to a news article from Daily Coffee News dated August 17, 2026, Manna has raised over $300,000 so far in an open seed funding round that could reach approximately $1.25 million.

The new capital is planned to be used for technology development, equipment installation, and the activation of what the company claims to be a pipeline of over 500 potential locations. However, the figure of 500 refers not to the number of kiosks in operation but to the potential location pipeline disclosed by the company.

This distinction is important. Because the investment story in automatic coffee retail depends not only on the machine's operation but also on sales per location, product quality, maintenance, stock replenishment, and customer repeat rates.

$1.25 million is not yet a completed investment

The first point to note in news about Manna is the funding figure.

Daily Coffee News reports that the company has secured over $300,000 in funding corresponding to its open seed round that could approach $1.25 million. Approximately $154,000 of this comes from the StartEngine campaign in 2025. It can also be verified in SEC records that Manna Smart Retail Inc. submitted documents to the U.S. Securities and Exchange Commission under Regulation Crowdfunding in 2025.

In contrast, some news sites directly report the target size of the funding round as "received $1.25 million investment." When considering the current open sources together, a more cautious and accurate expression is that the round is ongoing and the amount raised is over $300,000.

The business model resembles a distributed retail network rather than a coffee shop

Manna's model is different from a classic coffee chain.

The company provides kiosk equipment to entrepreneurs or property owners; then aims to generate revenue through software, licensing, product/ingredient supply, payment systems, and other services. According to Daily Coffee News, the company claims to have sold over 100 licenses in 16 states. This figure should not be evaluated as a company statement and independent audited operational data.

Vending Times also reports that the company has established a structure based on recurring software, licensing, consumables, and payment revenues alongside equipment and installation fees. The same source reports that Manna has a backlog of $513,000 for orders that have been paid for by customers but not yet delivered. This is also a performance indicator sourced from the company.

The critical aspect of this model from an operational perspective is that revenue is not solely dependent on the question of "how many cups of coffee were sold?"

While equipment sales create one-time revenue, software, product supply, and payment services can generate recurring revenue per kiosk. Thus, the company attempts to combine the physical coffee sales point with the software platform within the same economic model.

The claim of artificial intelligence needs to be separated from product performance

Manna describes itself as an "AI-native" business and claims that its system named Co manages processes such as kiosk telemetry, payment reconciliation, restocking logistics, and marketing.

Here, there is an important editorial distinction from the perspective of StaffMag.

The use of artificial intelligence by an operational platform does not prove that the coffee is of higher quality or that the business will automatically operate more profitably. The company's technology claims need to be evaluated separately from the business outcome.

The actual performance indicators are more concrete:

How long does the kiosk remain operational? What is the response time in case of a malfunction? How many cups are sold daily? Is there waste in milk, coffee, and auxiliary products? Do sales repeat at the same location? Can product standards be maintained across different machines?

The commercial value of artificial intelligence only gains meaning if it creates measurable improvements in these indicators.

Reducing barista costs does not eliminate all operational costs

One of the main advantages of automatic coffee kiosks is that it can reduce the obligation to have a continuously working staff at the sales point.

However, "staff-less point" does not mean "labor-free operation."

Operations are still required for refilling the machine, cleaning, replenishing milk and other products, technical service, remote monitoring, resolving payment issues, and location management.

Manna's co-founder Serhii Cheromush claims that a network of about 20 well-performing kiosks can be managed with one or two employees and can reach an annual operating profit of $350,000 to $400,000 at the kiosk level. The company also states in the same announcement that actual results depend on location, costs, and implementation. Therefore, this figure cannot be used as a guarantee of return on investment or as an independent industry benchmark.

From the perspective of StaffMag, a more meaningful question is not how many people there are, but how many locations one employee can reliably manage.

Because as the number of kiosks increases, the logistics route, malfunction management, and product replenishment plan also become more complex.

Location may be more decisive than technology

Even the most advanced machine in automatic coffee sales may not generate sufficient turnover in the wrong location.

The target locations of Manna include offices, apartment and residential complexes, universities, healthcare facilities, and sports centers. The common feature of these locations is that they are enclosed or semi-enclosed traffic areas where a full-scale café is not economically viable, but there is a regular demand for coffee.

This model can settle into another moment of consumption rather than directly competing with a classic coffee shop.

A hospital's night shift, early morning hours of an office building, or late hours of a student dormitory could be examples of this.

However, looking only at daily pedestrian traffic is not sufficient for feasibility. The potential user count at the location, repeat visit behavior, nearby competitors, rental or revenue-sharing models, and the logistical cost of refilling the machine should all be calculated together.

Will automation eliminate the role of the barista?

Daily Coffee News reminds us that automatic and robotic coffee models are not new; various initiatives such as Cafe X, Truebird, Briggo, Artly, Robo Esso, and Octane Coffee have been trying models that reduce or eliminate barista labor for years.

However, a field study from 2026 shows that technical failures, accessibility issues, and low repeat interactions can occur in the real-world use of robotic coffee service. Since the study was on an experimental robot-barista offering free coffee, it cannot be directly compared to commercial kiosks; nevertheless, it is significant in showing that automation can create user experience issues that are not resolved solely by technical installation.

Therefore, there is still insufficient data for a general conclusion that "barista-less coffee is replacing the barista."

A more realistic scenario may be that the two formats grow side by side in different consumption needs. A specialty coffee bar can sell experience, product storytelling, and human interaction, while automatic kiosks can create value through speed, accessibility, and low operational intensity.

What does it mean for the Turkish market?

Potential application areas for such a model in Turkey could especially be hospitals, universities, office campuses, factories, hotels, and transportation hubs.

However, a broader calculation than just the purchase price of the machine is required in the investment decision.

The service network, spare parts supply, payment integration, food safety, cold chain for dairy products, daily cleaning needs, and stock replenishment logistics directly affect the total cost of ownership.

Therefore, automatic coffee kiosks should not be evaluated as "barista-less and low-cost cafes" but as distributed food and beverage retailing.

Stafflink's view

The real value of the Manna Coffee example lies more in the business model than in the robotic coffee machine.

A business's ability to manage hundreds of small points through a centralized system can create a different scaling model than store growth in coffee retail. However, the success of this model should be measured not by how many kiosks the company sold but by how many of these kiosks operate sustainably and provide real contributions to operators.

In our view, the most common mistake that investors in Turkey should avoid in automation projects is to see labor savings as the sole justification for investment.

Barista costs may decrease; however, maintenance, service, logistics, stock, and technology costs will emerge.

The winning model will not be one that completely eliminates humans but rather a model that moves human labor to the right place while automating low-value repetitive tasks and maintaining product standards.

How much of Manna's target of over 500 locations will turn into operations is one of the key performance indicators that should be monitored in the upcoming period.