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30 July 2024

26 Pages

The Scale-Up of E-Commerce in Romania Generated by the Pandemic, Automation, and Artificial Intelligence

and
1
Faculty of Economics and Public Administration, “Stefan cel Mare” University, No. 13. Str. Universitatii, 720229 Suceava, Romania
2
Department of Computers, Electronics and Automation, Faculty of Electrical Engineering and Computer Science, “Stefan cel Mare” University, No. 13. Str. Universitatii, 720229 Suceava, Romania
*
Authors to whom correspondence should be addressed.

Abstract

This study examines the significant growth of e-commerce in Romania, which has surpassed the rates of expansion observed in other more developed countries of the European Union. Based on market analysis by sector-specific companies, the Romanian e-commerce market has reached over €6.5 billion. This rapid growth trajectory is expected to continue, driven by various factors, including the impact of the COVID-19 pandemic and the natural evolution of the market. The main purpose of this study is to assess the expansion of the e-commerce market in Romania, identify the key factors behind this growth, and project future market values. Data for this analysis has been collected from industry reports, market analysis, and relevant statistical databases. The study uses a quantitative approach, utilizing financial data and growth rates to forecast future market trends. The dataset includes financial figures from e-commerce sales, digital services such as bill payments, and airline and hotel bookings from 2018 to 2023. Projections for 2024 and beyond were derived from this historical data. In 2019, the e-commerce market in Romania was valued at €4.68 billion, representing a significant increase compared to previous years. By 2020, amid the pandemic, the market value increased to €5.5 billion, marking a 38.4% increase from the previous year. Forecasts for 2024 estimate that the market will exceed €8 billion. In addition, when related digital services are included, the total market value could exceed €10 billion, illustrating the substantial economic impact of the online sector and the growth potential. This study highlights the dynamic nature of the e-commerce landscape in Romania and underlines the significant economic opportunities it presents.

1. Introduction

Romania is at the forefront of the digital economies in Central and Eastern Europe (CEE), masterfully reflected in the vibrant echo of its e-commerce market, in a continuous process of evolution. Since the onset of the coronavirus pandemic (COVID-19), there has been an impressive acceleration of expansion in the e-commerce sector. As consumers have enthusiastically embraced the option of purchasing various products and services online, virtual sales by Romanian businesses have experienced a rapid rise, culminating in a distinct peak in the first year of the pandemic [1]. At the same time, there has been a significant increase in the proportion of businesses operating via the internet, particularly in areas such as restaurants, which have focused their efforts on online channels and delivery services [2].
However, even though the presence of e-commerce in the revenue structure remains considerable for companies operating online, sources of vulnerability such as the level of living costs, galloping inflation, and rising prices hover as a latent threat to market stability as Romanians seek to optimize their spending [3].
In the context of Southeast Europe, the Romanian e-commerce market is emerging as an increasingly influential player, showing a growth dynamic that far exceeds the global average, registering an annual rate of 16.6% [4]. Projected prospects indicate an estimated total value of €10 billion by 2025, which underlines the huge potential of this economic branch. According to data provided by the eBook E-Commerce Growth Strategies, it is estimated that by that year around 54% of the country’s population will be using e-commerce services [5].
The report also points out that the revenues generated by the Romanian e-commerce market will reach €7 billion by 2023 and will approach the €12 billion mark by 2027. These projections underline the significant role this sector will play in the Romanian economy in the coming years. In the local e-commerce market, more than 100 online shops are handling a considerable volume of daily orders, registering over 1000 transactions [6]. However, significant growth is expected over the next few years, estimated at around five times, driven by the various digital transformation trends that will shape the local e-commerce landscape. This projection is fueled in particular by the proliferation of marketplaces, the growth of cross-border sales and the advancement of automation in e-commerce, all of which are embedded in a framework that also integrates elements of artificial intelligence [7]. This phenomenon not only enriches the user experience through optimized product presentation, but also reinforces the analysis in this area, as found in the e-commerce sector reports produced by specialized agencies.
With all of the favorable conditions for rapid growth, the Romanian e-commerce market is expected to record annual growth rates exceeding the global average of 10%. The expansion of internet access in almost all regions of the country, together with modern technology infrastructure and the simplification of the online shopping process, is leading to a steady increase in the number of Romanians opting for online shopping [8], including in rural areas, gradually abandoning purchases in physical stores.
According to the data in the eBook E-Commerce Growth Strategies (Limitless Agency), in 2022, the average revenue generated by each e-commerce user in Romania was over €484, and this is expected to increase to almost €900 per user by 2027 [5,9]. Thus, in the coming years, Romania is expected to become a benchmark on the regional e-commerce map.
According to the same data, the number of e-commerce users is expected to grow to 10.6 million by 2025, representing about 54% of the country’s total population, and to over 11 million users by 2027. Currently, only 45% of Romanians shop online, despite an internet penetration rate of over 90%. In comparison, in the Nordic countries, the percentage of those shopping online is as high as 95%.
In 2022, the northwest and central regions of Romania stood out with the highest proportion of people opting to shop online. However, overall, residents of Bucharest and the county Ilfov ranked first, with 58.3% saying they had made purchases online in the last three months. About half of the Romanians using e-commerce services place two orders in three months and only 12% shop online up to six times a month [10]. In addition, 49% are willing to pay a higher price for a well-known brand and 57% are willing to invest more in eco-friendly products.
In terms of product categories, in 2022, Romanians spent significant amounts online in the following areas: fashion—€2.63 billion (representing 46% of the total e-commerce market); electronics—€1.1 billion (19%); personal and home care products—€885 million (15%); toys, hobbies, DIY—€590 million (10%); food—€146 million (2.6%); furniture—€125 million (2.2%); music, movies, games—€88.9 million (1.5%); drinks—€32.1 million (0.5%) [11].
At the same time, 21% of Romanians buy online from foreign websites. In terms of the origin of these platforms, almost a third prefer online shops in China (27%), followed by those in EU Member States (23%) and the USA (4%).
The report highlights that the main reasons why Romanians choose to shop online are to save time (85%), avoid the stress associated with shopping in physical stores (70%) and to save money (69%). At the same time, those who do not opt for online purchases cite as reasons the desire to see the products before purchase (64%), lack of confidence in receiving the product ordered (55%), concern about high delivery costs (50%), and lack of knowledge needed to order online (15%) [12]. Many respondents also indicated that they give up shopping online because of a lack of complete product information, pictures, descriptions, or reviews.
In terms of the preferred payment method, payment on delivery remains the most used (31%), followed by online payment by card (26%), digital wallet and mobile payments (23%), bank transfers (19%), and other methods.
The report in the eBook E-Commerce Growth Strategies (Limitless Agency), developed to educate and support the Romanian e-commerce market, is a comprehensive resource containing over 90 tested strategies and recommendations for optimizing online sales [5]. It is written with input from 24 experts in the fields of e-commerce, online marketing, e-commerce technologies, design, logistics, and legislation, and is dedicated to entrepreneurs looking to expand their online presence, online marketing investors and marketing specialists managing online stores [13].
According to data provided by the latest European E-Commerce Report 2023, cited by the Romanian Association of Online Shops (ARMO) [14], Romania ranks 3rd in Central and Eastern Europe and 12th in the whole of Europe in terms of online sales of goods and services, contributing to 3.17% of the GDP. Within the European Union, Romania maintains the same leading position in Central and Eastern Europe, ranking 3rd after Poland and the Czech Republic in terms of online sales volume. Romania’s e-commerce sector accounts for almost 60% of the total sales of goods and services in Eastern Europe, generating an estimated turnover of €9.95 billion in 2023, out of a total of €17.6 billion [15].
Although the most significant e-commerce figures are recorded in the UK, France, and Germany, Romania stands out for its impressive growth in sales volume, with a 51% increase, ranking second in Europe in this respect after Estonia (with a 106% increase); see Figure 1.
Figure 1. The revenue generated by the e-commerce market in Romania from 2018 to 2023 (in billions of euros).
This article starts with introductory and prospective notions of the e-commerce market in Romania, as well as what the online market in this country looks like, focusing on the most important characteristics of the user type and the impact that this segment has generated in the economic area. Subsequently, after this introduction, Section 2 focuses on the development of this area of e-commerce after 2020, and how the pandemic has influenced the harmonious development of e-commerce, including generating market analysis, forecasts and extremely important data from the online market. Section 3 is a milestone at the starting point for every online merchant, with a focus on the use of automation and AI solutions to scale online businesses. Methods and ways to generate benefits for these businesses are presented, as well as the most impactful modules through which sales can be achieved, as well as a leading position in the market. Section 4 summarizes the concluding aspect and future directions that the study will take, having already performed intense analysis on handling time algorithms, price descending, stock synchronization, composite products, and product bundles.

3. Analysis Model Proposal, Testing, and Results

Online shops in Romania lose more than 50% of sales due to a lack of automation of operational processes, according to an analysis and studies conducted in the e-commerce market. Currently, about 3 to 5% of online shops in Romania use process automation, and then only in force majeure situations. However, market analysis shows that this percentage has been increasing over the past two years as Romanian online store managers, initially focused on automation in sales and marketing, begin to recognize the importance of extending automation to all operational areas to optimize management and reduce costs.
We can say that the most important solutions sought by online stores in Romania about the functionalities they need are found. The management and allocation of dynamic prices in terms of platforms, and the adjustment of product prices in real time, are all based on market demand, the number of visits, the behavior of consumers, or how the competition acts.
The constant and fast synchronization of stocks between the suppliers that the platforms have, and the decrease in the number of orders from various sources or the integration between various platforms and online stores and the notification when the stocks reach minimum thresholds or tend to run out block the purchase of products or change to pre-ordered products. Automatically generating a pre-order for customers and ensuring the relationship with them is as flexible as possible, but at the same time remaining competitive in the market, is important.
In addition to these, automatic invoicing and closing through receipts, accounting balance sheets, and automatic generation of AWBs can reduce the workload of operators in the logistics or warehouse area by more than 30–40%. All of these functionalities combined with goods management or picking list modules can efficiently assist users at every step so that they can operationalize more than 70% of the internal processes, managing to reduce dead times or human error, which are extremely common when handling goods or managing stocks in deposits.
When we discuss automation and the use of artificial intelligence in the year 2024 and the introduction of automation dedicated to the processes and management of stocks, products, descriptions, orders, operationalization, and the inclusion of some AI modules in the relationship with customers, the trend is upward and full of contrast. Being pressured by the entrepreneurial environment and the lack of qualified labor in these fields, automation takes over and becomes a central pillar, capable of increasing productivity and ensuring the optimal management of resources in organizations. The adoption of automation and the inclusion of price detector modules, dynamic prices, automatic invoicing, warehouse automation, supply chain optimization, and automated and scaled warehouses through warehouse management applications are significant. All of these elements significantly reduce human effort and processing time and increase productivity.
Regarding the way customers approach this area of automation, the upward trend highlights that the budgets allocated for operations of this type at the beginning varied between 1000 and 3000 Euros, but when they noticed that there was a potential for the replacement of manual work and that the results are noticeable, they began to gradually increase the amounts invested in automation to the limit of 10,000 Euros annually with an upward trend. Neighboring countries, such as Austria, Poland, Germany, France, and Belgium, have an advantage in this chapter because companies adjust their automation budgets by more than 10 times compared to the Romanian market. These practices substantially scale up e-commerce processes, especially in the dropshipping and supply areas, because processing times are reduced and because of automatic delivery times. Investments in the integration and development of new modules in the direction of management by aggregating ERP and CRM to add value are also embraced in other countries, currently, Romania remains on an upward trend, but with a 6% of the potential e-commerce market.

3.1. The Importance of Synchronising Stocks and Prices across Sales Channels

According to the studies carried out when there is a permanent synchronization between the prices that a seller practices on various e-commerce platforms, the degree of customer satisfaction is high because the customer has the possibility to choose a desired product according to the purchase price, see Table 1. This procedure saves a lot of time wasted in operationalization; automatic price updating between several sales channels can be achieved by uploading product feeds, which contain at least one product identification code and, through matching logic between them, can automatically update prices on all sales channels without the need for manual adjustment and operator intervention. This information is extracted from the automation market in Romania, specifically through the Ecap and Syncap SaaS solutions.
Table 1. Mathematical conversion model highlighting the importance of price automation and scaling in e-commerce.
Therefore, we can highlight the method by which the degree of accuracy in saving time is identified through automation procedures, these being identification through Formulas (1)–(3):
T T o t a l m a n u a l = N × T m
T T o t a l a u t o m a t e = N × T a
T S a v e = T T o t a l _ m a n u a l   − T T o t a l _ a u t o m a t
When discussing how we can reduce costs through automation we must also consider the following aspects in Formulas (4)–(6):
C T o t a l m a n u a l = N × C m
T T o t a l a u t o m a t e = N × C a
C S a v e = T T o t a l _ m a n u a l   − C T o t a l _ a u t o m a t e
These aspects should not be neglected, which include the degree of customer satisfaction, around which all of these aspects revolve in Formulas (7) and (8):
S m a n u a l = S
S a u t o m a t e = S + Δ S
The application of the model can be taken on an individual case and can be presented in the form where the number of products N = 1000, and for manual price adjustment by an operator we have a time of the form T m   = 5   m i n , and the time required for the automatic updating of prices will be discussed in terms of T a   = 0.1   m i n . When we consider the operational costs of manual adjustments the form of applying the model, it will be of the form C m   = 0.5 USD/product, and the cost of operationalization and automation will be of the form C a   = 0.1   U S D / p r o d u c t , with a probabilistic degree of customer satisfaction of the form S = 7, and the increase in the degree of satisfaction through price synchronization is represented by Δ S = 2 , see Table 2.
Table 2. Generic results by applying the model in e-commerce.
To further extrapolate what was highlighted, both in the study and in the economic model generated by this automation modality, an identical situation was generated by analyzing the exposure for 1000 products, 5000 products, 10,000 products, 20,000 products, 30,000 products, 40,000 products, and 50,000 products, this flow being extremely common and covering every customer pattern that an automation solution can have, including data that were exposed using Ecap and Syncap reports.
Having this information, the necessary correlations were made to highlight the different variables, and depending on the number of products, to clearly show how much automation impacts an online store. We can say that the total time saved is treated separately; thus, the total manual time is highlighted by the blue color and reflects the manual price adjustment for all products, and the total automatic time for adjustment by automation solutions is in orange, and the time saved is the ratio between manual and automatic and is in green.
We can say that customer satisfaction will also be taken into account, and this is weighed in the standard case without automation, or how to explain satisfaction with the manual operation; this is outlined in blue, and satisfaction with the operation of this procedure is outlined in orange. It can be seen that along with the degree of operationalization, there are two important factors that we adjust, those of time and cost, but what is not exposed and is extremely important is the reduction of the degree of human error in mapping prices by an operator. Therefore, it can be seen very clearly that this model exhibits a high degree of accuracy and offers significant benefits to those using synchronization and automation modules in the direction of e-commerce and beyond.
This model has been tested on several clients whose online stores, within 5–6 months, have achieved considerable increases that exceeded 30%, all down to aspects related to the synchronization of prices and stocks. This aspect brings a high degree of satisfaction to the customer because they will know that the product exists and will reach them and that they were not deceived. Another aspect is that in terms of internal processes, it is much more beneficial for a company to know everything, including their stocks and prices, at the same time.
Another way in which the presented model was applied and tested on the part of the clients refers to the way to expose, on the sales platforms, a solution for mediating delivery times. This is necessary because most of those who sell online use suppliers from various countries, and the products are not in stock in Romania. Customers must know the average delivery time; even if the products will arrive within 4–7 days from placing the order, it is important that the final beneficiary knows this aspect and that the delivery time is displayed on the platforms. Even the achievement of the average delivery is important in this entire e-commerce ecosystem.
The logic of retaining virtual stocks or the introduction of virtual stocks based on the times contractually stipulated by suppliers represents another feature that can substantially scale online sales. We cannot neglect the aspect of the recommended products, which take on similar characteristics and particularities to the products searched for directly on the pages of online stores, which is an extremely important factor. There is a degree of change of mind among buyers that tends to be at 30–40% when it comes to the home decoration categories, IT and C, fashion, beauty, or telecommunications. These domains have multiple products, these being differentiated only by one characteristic, and that variation can produce a sale in the end.
According to the tests carried out, under the conditions of using a solution dedicated to the automation of repetitive processes, an optimization of over 80% is obtained; more precisely, the processing of an order or an AWB takes less than 7 s, and around 15 s including listing them in order and preparing parcels for delivery. Therefore, in conditions where there is a strictly established flow regarding these procedures, more than 300 orders can be processed in the first part of the day, and after 12:00, the operators or staff dedicated to these processes should deal with other activities dedicated to supporting online stores, by adding new products or preparing promotional packages, see Figure 13.
Figure 13. Graph showing correlations between different variables according to the number of products for an online shop.
Through such optimizations, we obtain a degree of satisfaction for all parties involved, and from the tests carried out with the help of automation solutions, it was observed that in 2020, at the beginning of the pandemic, the analyzed online stores were processing around 1000–1500 orders per month with two operators, and within 4 years, their sales volume reached over 12,000–15,000 sales, and two operators are used for operation. This is possible also through the use of WMS-type solutions to optimize warehouse operations.

3.2. Using Artificial-Intelligence-Based Modules in Content Generation and Customer Interaction

In today’s circumstances, it is extremely difficult to keep up with the avalanche of AI-based solutions in generating product images, AI descriptions, and animations. The shift from standard, manual operations to everything automated, but also guided by AI, leads to a trend of the virtual translated into reality. An online shop, benefiting from integrations of AI solutions, already gives an impression to customers of being extremely up-to-date with the trends, especially as the moment they arrive on the respective page they are greeted by virtual assistants, who intensively study their behavior and preferences, suggesting products, offers, packages, and prices being adjusted according to the customer’s channel and conversational mode. In a word, online shops, besides the fact that until now they were not a huge effort for the developer and the user, will now be 100% operational and automated, without the need for operator intervention, with orders being processed automatically, AWBs being generated and uploaded directly into accounting and management applications, and order data arriving instantly to couriers. The use of artificial intelligence (AI) to enhance written and video content is revolutionizing the way digital content is created and consumed. AI can generate consistent and relevant text that is tailored to the target audience, optimized for SEO and personalized for each user, which significantly increases reader engagement and satisfaction. In video, AI can automate editing, captioning, preview generation and even the creation of entirely new video content through deep learning and machine learning techniques. This automation not only reduces the time and costs associated with content production, but also enables massive scaling, allowing companies to produce and distribute large volumes of high-quality content in a very short time. The AI-driven approach also allows for continuous adjustment of content based on user feedback and market trends, ensuring that materials remain relevant and engaging.
To illustrate the significant impact of an artificial-intelligence-based solution in adjusting product images for online stores and marketplaces, it is essential to emphasize how these technologies can highlight the essential features of products. AI can optimize images in a way that captures the attention of customers and visitors, often influencing purchase decisions through the visual appearance of products alone. Therefore, we have a situation, which 4–5 years ago required manual editing by specialized, creative people with skills in graphic design and more, in which there are now tools capable of outlining product images which are extremely impactful in the marketplace today, achieving much better conversion rates than any other solution used.
In the following case, in Figure 14, we have two images generated with the help of artificial intelligence through AI module DALL-E. The images are presented to show how it sees a product and what image it must create for that category, as well as the time it such generation takes.
Figure 14. (a) A simple product image of a mobile phone case on a white background. The phone case is sleek and modern, clearly displayed front and center to showcase the phone case. (b) A captivating product image of a mobile phone case, with a modern and stylish background created by AI.
It can be said that when the experiences of the past years required the use of graphic artists, the estimated costs for each processed image varied between 2 and 5 USD, and for 100 images, a time of approximately 8–10 h was required. Today, we are talking about extremely low costs, and the processing times for an image have decreased considerably, reaching approximately 30–40 s for a simple product image, and for one with some AI load and complex graphic elements, times of approximately 1 min. Table 3 shows the impact generated by AI.
Table 3. The impact generated by AI in the creation of product images and the efficiency of these tools in relation to the time spent by a human user in generating the necessary content.
We consider these elements presented extremely important for the scaling of online businesses, but at the same time, an alarm signal is raised, because artificial intelligence is starting to take shape in many more extremely vast fields. This can be an advantage for companies or providers, but at the same time, essential notions and relational capabilities between work groups will be lost, which more recently must use artificial intelligence to keep up with a large part of the competition. This study highlights the trends and only part of the characteristics regarding the development of the field of electronic commerce and how it impacts certain automation or AI services.

4. Discussion

It is clear that this manuscript highlights how e-commerce markets can be kept viable both in Romania and in neighboring countries, but also how this e-commerce market has been influenced by the pandemic wave, making it extremely clear that the period of inactivity and the shift to online of most populations have made e-commerce a real trend and a good one for those who sell online. However, although the trend is an upward one, this period has also benefited China’s largest manufacturing companies, evidenced by their appetite to outsource to most countries. This has been observed from the studies and analyses conducted and presented in this manuscript.
The rapid increase in daily orders on platforms such as Shein and Temu highlights a significant shift in consumer behavior in Romania. With over 10,000 orders placed daily, these Chinese e-commerce giants have successfully capitalized on the market demand for affordable and diverse product offerings. The data indicate that Shein and Temu are gaining traction, likely driven by aggressive marketing strategies and their ability to offer low-cost fashion and electronics. This trend underscores the broader phenomenon of fast fashion’s appeal, despite persistent issues regarding product quality and customer service challenges.
A critical examination of the data reveals that while both Shein and Temu experience consistent daily order volumes ranging from 4000 to 6000, the overall trend suggests a steady growth trajectory. This pattern may be attributed to the extensive promotional activities on social media platforms such as Facebook, Instagram, and TikTok. Moreover, the presence of a significant number of orders underscores the platforms’ ability to meet consumer needs, despite the potential drawbacks associated with fast fashion such as environmental impact and quality control issues. These aspects necessitate a balanced view of the growth in order volumes, acknowledging both the economic benefits and the socio-environmental costs. Furthermore, the comparison with Amazon highlights the competitive dynamics within the global e-commerce market. While Amazon remains a dominant force with its extensive user base and substantial annual sales, the emergence of Shein and Temu presents a formidable challenge. Their ability to capture market share through low prices and wide product ranges exemplifies a disruptive approach in the e-commerce landscape. The analysis indicates that the fusion of Chinese efficiency with robust marketing in Western markets has the potential to reshape consumer preferences and retail strategies globally. Thus, ongoing research and monitoring are essential to understand the long-term implications of these trends on consumer behavior, market competition, and environmental sustainability.
This article followed a very well-defined trend, especially since in the field of electronic commerce there are no articles that deal in a certain way with this problem of automating processes, optimizing workflows, or developing methods, models, and algorithms that will encourage the field to grow. The solutions certainly exist and enjoy their impact on many companies, but the research is completely lacking because those who produce these changes come from the private environment, without having the necessary time to present them effectively academically or as a research model through which to shape new directions.
A comparison with other research articles in the same direction is extremely difficult to achieve because there are not many articles in the literature that lead to a practical part, especially in this area of automating repetitive processes in e-commerce and scaling online businesses based on artificial intelligence. The results obtained using the proposed solutions will also be published in the form of manuscripts or guidance for those in the field, especially since the feasibility and usefulness of the solutions are extremely obvious. Other new approaches in terms of advanced algorithms and SaaS-type solutions are in the works, in which the online stores that will participate must be asked to express their concerns about the publication of the results obtained for each one separately.
As future study directions and implementations, other studies based on group testing of more than 150–200 users of digital platforms are already being worked on. Subsequently, it is also necessary to track their profitability and the profitability depending on the products, sales channels, tools used, suppliers, product categories, or other aspects that make up this entire ecosystem that revolves around e-commerce. We are intensively studying SaaS (Software as a Service) systems and algorithms that adjust processes and automate certain components of e-commerce, and the following materials will also aim to present case studies that significantly impact the field and how regional economies can develop.

5. Conclusions

In the context of the rapid and continuous transformations of the global commercial landscape, our study conclusively emphasizes the evolution and impact of e-commerce in Romania and internationally, highlighting the innovations and contributions brought by automated e-commerce process management solutions. In this comprehensive review, we explored the multiple facets of e-commerce, including growth trends, consumer behavioral changes, and the technological advancements that facilitate these changes.
Over the years, e-commerce has shown significant growth, becoming an essential pillar of the digital economy. In Romania, the share of e-commerce in the total turnover of companies has increased remarkably, from 2% in 2009 to 6% in 2013, to 9% in 2018, and to 12% in 2020, with an increase that is projected to reach, in 2030, over 30–40% of the total number of companies in the market. This growth trend is supported by the many advantages of online shopping, including convenience, product variety, and affordability. During the conference organized by the Romanian Association of Online Stores, it was emphasized that, despite the challenges, Romania will maintain its leading position in the EU in terms of e-commerce growth. The COVID-19 pandemic has catalyzed a profound shift in consumer buying behaviors, accelerating the shift to e-commerce. Concerns about health safety and isolation restrictions have significantly boosted online commerce, increasing the number of people using cards for online payments by 14% in 2020 compared to 2019. Sectors such as beauty saw spectacular increases, with an increase of 309.5% in April 2020 compared to the same period of the previous year. The books, movies, and music sectors also saw a significant increase in online sales of 22.4%. This trend underscores the crucial role of e-commerce in ensuring economic continuity and meeting consumer needs in times of crisis.
A key aspect of this study is the focus on technological innovations and the contributions made by automated solutions. Implementing an advanced automation model has demonstrated a significant reduction in time and costs associated with manual processes. For example, for managing 1000 products, the total time required dropped from 5000 min to just 1000 min, and costs were reduced from $500 to $100. This efficiency underscores the potential of automation to optimize e-commerce operations, providing tangible benefits to both merchants and consumers.
Our automation model has been tested and validated on various product volumes, from 1000 to 50,000, demonstrating the scalability and efficiency of our solution. This allowed the evaluation of performances in various conditions and highlighted the adaptability of the model in different business scenarios. Data analysis through Ecap and Syncap reports provided critical insights for the continuous improvement of automation solutions, thus confirming their relevance and positive impact in the dynamics of modern e-commerce. Despite significant progress, the e-commerce market continues to face various challenges. These include the need to secure online transactions, manage logistics and deliveries, and maintain customer satisfaction in an ever-changing digital environment. However, the major trends for 2024, including artificial intelligence, automation, diversification of business models, and reinvented digital marketing, point to promising directions for the future development of e-commerce.
We can display everything in the form of a graph showing the main elements of the components called processing time and costs, sampled over a 12-month timeline, with everything forming representative and distinct scenarios, starting from the first stage of analyzing the processing of 500 orders per month, to 1000 or 2000 orders per month, and all of the costs reported. Because the time spent by an operator in carrying out the procedures dedicated to processing orders and validating information can be a factor in which human error can occur, as well as downtime.
When we weigh the use of dedicated automation solutions and we already have a synchronization of stocks, prices, bulk data processing, and validation, the degree of error also drops dramatically. An operator can spend up to 5 min for each invoice depending on the information needed or the eventual mistakes they make. If every month we have 500 orders and for these we take more than 40–50 s and we add up those dead times in a year we have more than 50,000 h, while the use of automated processes decreases the number of hours to around 50 h. Time savings grow exponentially as order volumes increase; see Figure 15.
Figure 15. Comparative analysis of processing times and costs for manual vs. automated e-commerce order management.
We can also say that there is a cost associated with manual processing, including the one that has to be borne for the payment of the operators. When we also weigh this cost, we see how useful a solution for automation and synchronization of processes is. The model demonstrates the scalability of automated solutions while maintaining efficiency in increasing order volumes. Manual processing becomes increasingly impractical as order volumes grow, highlighting the critical need for automation in scaling operations. The study clearly illustrates the substantial benefits of implementing automation in e-commerce operations. By dramatically reducing processing time and costs, automated systems not only increase operational efficiencies, but also enable scalability, which is essential to sustain growth in a competitive marketplace. The findings underscore the need for businesses to adopt automation technologies, including AI, to remain viable and competitive.
The generated model validates the practicality and economic advantages of automation, with significant implications for e-commerce strategies. As consumer demand and online transactions continue to grow, embracing automated solutions will be pivotal in driving forward operational excellence and market responsiveness. The provided graph and detailed analysis offer a compelling case for the transition towards automated e-commerce processing, emphasizing both the short-term efficiencies and long-term strategic benefits. This evidence-based approach demonstrates how automation can be a game-changer in optimizing e-commerce operations, ensuring sustained profitability and a competitive edge.
In conclusion, this study highlighted the rapid evolution of e-commerce and its profound impact on the global economy and consumer behavior. Automation and innovative technologies play a crucial role in this transformation, providing efficient and scalable solutions that significantly improve e-commerce operations. By implementing these solutions, companies can successfully navigate current challenges and capitalize on emerging opportunities, thereby securing a competitive position in the global market.
This research not only highlights the importance of innovation in e-commerce but also actively contributes to the development of an advanced model that optimizes processes and reduces costs, bringing tangible and sustainable benefits to the entire industry. The efforts put into the implementation of these innovative and automated solutions have demonstrated a significant increase in operational efficiency and a reduction in costs, thus underscoring their relevance in the current and future context of e-commerce.

Author Contributions

Conceptualization, E.Z. and A.N.; methodology, E.Z.; software, E.Z.; validation, E.Z. and A.N.; formal analysis, A.N.; investigation, E.Z.; resources, A.N.; data curation, E.Z.; writing—original draft preparation, E.Z.; writing—review and editing, A.N.; visualization, A.N.; supervision, E.Z.; project administration, E.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

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