March 2, 2025

20 min

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Ludmila Todorova

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One of the first and most common applications of AI is the automation of repetitive operations. Algorithms can perform a large amount of monotonous work instead of a person, freeing up time for more creative or strategic tasks. For example, robotic process automation (RPA) tools generate financial reports, process invoices, or manage warehouse records with minimal human involvement, reducing the risk of errors. According to experts, the implementation of AI increases the efficiency of business processes by automating manual labor and enabling faster decision-making (AI and the Future of Work: What Moldovan Companies Need to Know). For companies, this means lower costs and faster operations.

Moldovan enterprises are also starting to take advantage of such opportunities. A vivid example is the job search portal Delucru.md, which integrated AI (specifically, the ChatGPT model) to automatically generate job descriptions. Based on the job requirements and company information, the algorithm creates a unique job posting, helping employers find suitable candidates more quickly (On delucru.md, artificial intelligence creates job ads for you). This approach saves time and resources: instead of writing a job post manually, it's enough to select the necessary parameters, and the built-in AI will generate a clear, well-written ad that reduces the risk of mistakes and attracts candidates' attention (On delucru.md, artificial intelligence creates job ads for you). This case demonstrates how automating routine processes with AI can boost business productivity—even in a smaller market like Moldova.

Automation of Routine Processes

In the era of big data, companies collect vast amounts of information about sales, customers, and operations. Artificial intelligence in analytics helps transform this data into valuable insights and forecasts. Complex machine learning algorithms detect hidden patterns and assist in predicting future trends. For instance, retailers can use AI to forecast product demand—what items and in what quantities will be needed next month—and plan purchases in advance. Banks analyze borrower behavior to assess risks, while telecom companies predict customer churn based on service usage patterns.

Predictive analytics has become especially in-demand in industry and logistics. Manufacturing companies use AI for predictive maintenance: the system analyzes sensor data and alerts operators in advance when a machine needs servicing, reducing downtime on production lines (AI and the Future of Work: What Moldovan Companies Need to Know). In supply chains, algorithms forecast demand fluctuations and optimize warehouse inventory. This enables businesses to take proactive measures—from redistributing goods between stores to adjusting delivery schedules—and avoid losses due to shortages or overproduction.

Moldovan companies are just beginning to explore the potential of data, but interest in this area is growing. Many local small and medium-sized businesses are in the process of digitizing their accounting and operations, paving the way for further adoption of analytical tools. Some examples already highlight AI’s potential: for instance, Moldova’s winemaking sector is experimenting with cutting-edge technologies. In 2024, at the international exhibition ProWein, Moldova presented its first vintage wine created with the help of a virtual oenologist—an AI system named Chelaris (Moldova Presents AI-Created Wine at International Exhibition in Germany | The Gaze). This system analyzed five years of winemaking data and provided recommendations on grape harvesting, fermentation, blending, and aging—essentially creating a wine recipe that combines centuries of tradition with modern technology. The result was two new wines (a white and a red), combining traditional grape varieties with AI-driven precision. This example shows how even traditional sectors in Moldova are ready to adopt AI for forecasting and optimization—whether for product quality or production planning—thus keeping pace with global trends.

Data Analytics and Demand Forecasting

AI is fundamentally transforming how businesses interact with customers. Personalized marketing—a trend where each consumer receives offers tailored to their interests—is at the forefront of this shift. Algorithms can analyze purchase history, browsing behavior, and even customer sentiment (e.g., based on social media reviews) to anticipate what a person might need. In practice, this means that an online store displays a unique set of recommended products for each user, a bank offers customized service packages, and promotional emails include only relevant content. This AI-powered individualized approach boosts engagement and strengthens loyalty: the customer feels that the company truly understands their needs.

Globally, personalization has long been the standard in service. In the EU, businesses actively use AI to analyze consumer data and adjust marketing strategies in real time, giving them a competitive edge. Machine learning and big data processing allow for automation of tasks such as audience segmentation and launching highly targeted ad campaigns—this speeds up responses to shifts in consumer preferences and improves the accuracy of offers. In other words, AI-driven personalization is no longer a luxury but a key to survival in a competitive market: the business that knows its customer best wins the race.

For Moldovan businesses, personalized marketing is still relatively new, but the first steps are being taken. For instance, the country’s largest banks are adopting analytical CRM systems and AI-powered chatbots to tailor services to individual clients. Recently, MAIB Bank announced the launch of its own AI-based chatbot, maib support, designed to provide modern, simple, and personalized banking services (Maib support: the chatbot that makes customers' lives easier | maib). The bot is integrated into the website and popular messaging platforms, and is available 24/7—making communication with the bank more convenient for every user. In the retail sector, Moldovan retailers are beginning to use data on shopping habits—loyalty programs in supermarket chains, for example, can recommend discounted products based on a customer’s previous purchases.

As Moldova continues to digitize, more companies—from telecom operators to small online shops—will begin to implement AI for personalization. This means that Moldovan consumers will gradually experience a better customer journey: more relevant ads, targeted discounts, and individualized service that can rival international standards.

Personalized Marketing and Enhanced Customer Experience

Chatbots—virtual conversational agents powered by artificial intelligence—have become a familiar tool for customer service. Today, many companies deploy chatbots on their websites, Facebook Messenger, Telegram, and other platforms to instantly respond to user queries. These bots can answer frequently asked questions, provide product consultations, assist with order placements, or help schedule appointments. The main advantages are 24/7 availability and instant response—customers don’t have to wait for business hours or a human operator. Plus, one bot can handle hundreds of interactions at the same time. Experts predict that by 2025, up to 95% of all customer interactions may be handled by automated AI systems with virtual assistants (61 AI Customer Service Statistics in 2025). This is a striking figure that reflects the global trend toward digitalizing customer service.

The first chatbots were relatively basic, operating on fixed scripts. But modern solutions leverage natural language processing (NLP) and can learn from each new conversation. This means the bot increasingly understands the user’s intent and can conduct more “human-like” interactions. For example, if a user phrases a question in an unusual way, the AI can still grasp the underlying issue and provide a relevant answer. As a result, customer satisfaction improves: studies show that nearly half of consumers now prefer to interact with a bot first when they need immediate help, rather than waiting for a support agent.

An equally promising area is voice assistants. These are also virtual agents, but interactions with them happen through spoken language. Many users are already familiar with voice assistants on smartphones (like Siri and Google Assistant) or in smart speakers (like Amazon Alexa). Businesses are beginning to adopt voice interfaces too: for instance, major airlines use voice bots in call centers to automatically inform callers about flight status or help book tickets, while banks are testing voice biometrics to identify customers over the phone. Voice assistants are especially convenient because they allow “hands-free” interactions—just say a command. In some overseas retail stores, kiosks with voice assistants are already in use, helping customers check product availability or promotions.

In Moldova, voice technologies in business are still limited, largely due to language barriers (most popular assistants understand English better). However, as Russian- and Romanian-language AI models advance, we can expect to see local solutions emerging—whether it’s ordering pizza by phone from a robot or navigating a banking menu via voice.

Moldovan businesses have already started appreciating the benefits of chatbots. Once again, the banking sector leads the way: banks are striving to stay close to customers and respond quickly to their needs. In addition to the previously mentioned MAIB bot, another major bank, Victoriabank, launched its own virtual assistant. In partnership with Romanian company DRUID, Victoriabank introduced Moldova’s first AI-powered banking chatbot in 2023 (Victoriabank Partners with DRUID to Introduce Moldova's First Virtual Banking Assistant). This chatbot is part of the bank’s digital strategy, expanding communication channels and offering an intuitive service. The Victoriabank bot delivers fast, accurate answers tailored to each user's request, making access to information and services much simpler and more convenient. Essentially, customer interaction with the bank has moved into the familiar chat format—no more waiting on hold for an operator.

Other organizations are also adopting similar virtual assistants. In e-commerce, Moldovan online stores are launching simple chatbot consultants in social networks. There are also examples in public services: some municipal agencies are exploring the use of bots to handle citizen inquiries. This is just the beginning—over the next few years, we can expect a rise in intelligent assistants across various sectors, from tourism to education. Chatbots have already proven their value: they speed up service, reduce the burden on staff, and—when combined with personalized recommendations—improve customer satisfaction.

Chatbots and Voice Assistants

For manufacturing and logistics companies, AI technologies open up unique opportunities. On the factory floor, machine learning algorithms enable a shift from reacting to problems to preventing them. As previously mentioned, predictive models forecast when equipment is likely to fail based on sensor readings and past malfunction data (AI and the Future of Work: What Moldovan Companies Need to Know). For example, an AI-based system can analyze engine vibration or machine temperature and alert engineers: “This pump will need a bearing replacement in 10 hours.” This allows for unscheduled but proactive maintenance—avoiding a sudden production halt. Companies that have implemented such solutions report significant reductions in equipment downtime and increased productivity due to stable operations.

Another industrial use of AI is quality control. Previously, human inspectors would visually check each product for defects. Now, this task is increasingly handled by computer vision: cameras scan items on the production line while neural networks instantly identify defective items. As a result, defect detection accuracy improves, human error (like fatigue or distraction) is eliminated, and customers receive higher-quality products.

In logistics, AI solves a range of problems—from optimizing delivery routes to managing global supply chains. Transport companies use algorithms to plan optimal routes by taking into account traffic, weather, client schedules, and more. Whereas route planning was once done manually, AI models can now instantly process thousands of options and select the path that saves both time and fuel. A classic example is UPS’s routing system, which saves the company millions of dollars annually by cutting out unnecessary miles. Moreover, predictive algorithms in logistics can foresee disruptions: for instance, based on news data and historical trends, systems can forecast border delays or spikes in product demand, allowing businesses to reallocate resources in advance. This makes deliveries more reliable and faster.

(Moldova Presents AI-Created Wine at International Exhibition in Germany | The Gaze) Moldovan winemakers showcased at the ProWein 2024 exhibition the first wines created with the help of artificial intelligence. Even in a traditional industry like winemaking, the adoption of AI demonstrates how long-standing experience can merge with cutting-edge technologies.

Although Moldova is not an industrial giant, elements of smart manufacturing are gradually making their way into local industries. The previously mentioned example of the AI oenologist Chelaris shows that even in traditional sectors, AI can optimize processes. In this case, AI helped analyze numerous parameters—grape harvest timing, fermentation temperatures, blending ratios, etc.—to develop an optimal wine production method (Moldova Presents AI-Created Wine at International Exhibition in Germany | The Gaze). Industry representatives called the project a historic step for Moldovan winemaking, successfully blending centuries-old traditions with the latest technological advancements.

Similar initiatives could emerge in other fields: for instance, Moldovan electronics assembly plants could employ AI to test completed circuit boards, and the agriculture sector could use AI to forecast crop yields and optimize fertilizer usage.

In logistics, Moldovan companies are also beginning to adopt global best practices. Major delivery services operating in the country—both international and local couriers—use AI-powered software for parcel tracking and route planning. This means that when you’re waiting for an online order, its delivery path may have been optimized by an algorithm to ensure faster arrival. In retail, large Moldovan supermarket chains could adopt foreign solutions for warehouse management—for example, systems that use cameras to monitor inventory levels and automatically reorder when stock falls below a set threshold. While such solutions are not yet widespread, as technologies become more affordable and competition increases, their adoption is only a matter of time. After all, every business wants to cut costs and boost speed—and AI in logistics is designed to do just that.

AI in Manufacturing and Logistics

The adoption of artificial intelligence holds significant promise for Moldovan businesses, but it also comes with serious challenges. Let’s explore the key factors in the context of Moldova:

Opportunities and Challenges of AI Adoption in Moldova

Efficiency Gains: Using AI can provide a major productivity boost for Moldovan companies. It is already evident that investments in these technologies pay off quickly. Experts note that each dollar invested often returns several dollars in value through time and resource savings. Moldovan IT entrepreneurs confirm this as well—AI enthusiasts claim that the costs of implementing intelligent assistants pay off “multiple times over and immediately” (#inspiring entrepreneurship. Using AI tools in business in 2024 | maib).
Moreover, all major software developers—Microsoft, Google, etc.—have integrated AI functions into their office products, making them accessible to any company. For example, modern versions of text and spreadsheet editors now feature assistant modes (like Copilot), which can prepare document drafts or create complex charts based on simple task descriptions. These tools, previously available only to large corporations, are now reaching even small businesses, promising a significant boost in efficiency.

Development of the IT Sector and Startups: Moldova has developed an active IT community that opens doors for AI innovation. Dozens of development companies operate in the country, including those specializing in machine learning and data analysis (Artificial Intelligence (AI) companies in High Tech in Moldova – Tracxn).
Local AI startups are also emerging—from chatbot solutions to cybersecurity systems. Though small in scale, many are export-oriented while still fostering local expertise and talent. Thanks to IT hubs like Tekwill in Chișinău, specialists have a platform for knowledge exchange, educational events, and collaboration. All of this increases the country’s human capital in high-tech industries. If businesses and startups work together—businesses defining the problems, and startups offering innovations—the AI ecosystem will evolve much faster.

Government Support and EU Integration: The Moldovan government is showing interest in digital innovation. In June 2023, Moldova’s Digital Summit was held in Chișinău, where the future of the IT industry was discussed, including the development of artificial intelligence (EU4Digital at Moldova’s Digital Summit 2023).
A major international event—the AI & Big Data Conference 2025—is also planned with government support, one of its goals being to demonstrate the benefits of AI technologies to businesses (Home | AI & BIG DATA CONFERENCE 2025).
Such a focus on digitalization at the national level could result in supportive programs: innovation grants, tax incentives for IT companies, and pilot projects (e.g., test zones for autonomous vehicles or “sandboxes” for fintech startups).
Additionally, Moldova’s pro-European integration path implies the adoption of best EU practices. The EU is currently investing heavily in digital transformation and AI development. Moldova’s participation in European initiatives—such as Horizon Europe or EU4Digital—provides access to knowledge, technology, and funding, which is a significant opportunity for local businesses.

Alongside opportunities, Moldovan businesses face several challenges in adopting AI:

Lack of Talent and Expertise: Implementing AI requires skilled professionals—from data scientists to machine learning engineers. Such specialists are scarce in Moldova, and competition for them is high. According to surveys, over 56% of companies in Central and Eastern Europe report difficulties hiring qualified AI talent (AI and the Future of Work: What Moldovan Companies Need to Know).
Moldovan universities are only beginning to offer specialized programs; there's a clear need for courses in data analysis, neural network programming, and AI ethics. Neighboring Romania has already launched a master's program in artificial intelligence at the Polytechnic University of Bucharest to address its talent gap—Moldova would do well to follow suit.
In addition, it's important to upskill the current workforce: managers need training in data literacy, analysts should learn modern AI tools. Businesses can invest in training and online courses for their employees. Without solving the talent issue, AI adoption risks slowing down—even off-the-shelf tools require knowledgeable users.

Limited Access to Technology and Data: Most cutting-edge AI developments are created abroad and require substantial computing power. Training complex models demands powerful servers (GPU/TPU clusters) and large volumes of data. Many Moldovan companies lack both the infrastructure and sufficient local data.
Cloud technologies partly solve this problem—resources can be rented from major providers (AWS, Azure, Google Cloud), and AI services can be accessed via subscription. However, challenges remain: high-speed internet access, the cost of such services, and data security concerns.
Small businesses may benefit from ready-made cloud solutions (like ChatGPT or AI features in office apps), as they are relatively affordable. But larger companies wanting to develop their own models will need to invest either in local infrastructure or expensive cloud capacities.
Another important factor is data. For AI to work well, it needs to be trained on high-quality, diverse datasets. Moldova's markets are relatively small, so local businesses may benefit from data sharing (e.g., banks could create anonymized joint databases for training anti-fraud systems) or using public global datasets. This brings data privacy and regulatory compliance into focus (see next point).

Regulation and Ethics: New technologies bring new risks, and AI is no exception. Top concerns include client data privacy, protection from leaks, and transparency of AI decisions (understanding how and why a decision was made).
The European Union has already passed a specific AI Act—a comprehensive set of rules that sets standards for algorithm usage in areas ranging from autonomous vehicles to recruitment (EU AI Act – EUR-Lex).
One of its goals is to prevent abuse and discrimination through AI. The new regulations require companies to assess risks associated with their AI systems, document data sources and algorithms, and—when dealing with high-risk use cases—obtain special authorizations.
Moldova, in its pursuit of EU alignment, will likely adopt similar regulations in time. Therefore, Moldovan businesses planning to actively use AI must start accounting for regulatory requirements now. It’s already crucial to align systems with existing personal data protection laws.
In fact, 27% of AI-active firms in Central and Eastern Europe report difficulties due to regulations—particularly around privacy and fears of job displacement (AI and the Future of Work: What Moldovan Companies Need to Know).
Beyond legal concerns, there are ethical ones: society expects that new technologies will be used responsibly. Businesses should preemptively define their AI usage policies—for example, specifying situations where a human must always make the final decision (e.g., safety, health, major financial transactions).
Transparency and accountability in AI deployment will help earn trust from both customers and partners. In short, working with regulators should not be seen as a burden but a smart business move: by following the rules, companies protect themselves from risks and build a trustworthy reputation in the emerging AI economy.

In conclusion, artificial intelligence is opening a new chapter of opportunities for Moldovan businesses. Automation of routine tasks, deep data analytics, personalized marketing, chatbots, and smart logistics—these are just some of the areas already delivering tangible benefits to companies across the country.
For now, AI adoption is happening in isolated cases, primarily among the most innovative players. But as the technologies become more accessible and success stories gain visibility, the spread of AI solutions is expected to accelerate.

Despite its modest size, Moldova stands to benefit significantly from this technological wave: small businesses can access world-class tools via cloud services, while larger enterprises can enhance their competitiveness and enter new markets with improved products and services. Of course, caution and preparation are key. Companies should invest in employee training, seek partnerships (including with universities and startups), and gradually integrate AI into their workflows. Those who move early will gain a competitive edge. At the same time, the government and society must support innovation by establishing clear "rules of the game" for this new technology.

If done right, AI will not be a threat, but a powerful driver of progress—increasing economic efficiency, improving quality of life, and helping local businesses stay one step ahead and compete successfully on the global stage.

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Ludmila Todorova

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