Current Issue : April-June Volume : 2025 Issue Number : 2 Articles : 5 Articles
In the rapidly evolving domain of large-scale retail data systems, envisioning and simulating future consumer transactions has become a crucial area of interest. It offers significant potential to fortify demand forecasting and fine-tune inventory management. This paper presents an innovative application of Generative Adversarial Networks (GANs) to generate synthetic retail transaction data, specifically focusing on a novel system architecture that combines consumer behavior modeling with stock-keeping unit (SKU) availability constraints to address real-world assortment optimization challenges. We diverge from conventional methodologies by integrating SKU data into our GAN architecture and using more sophisticated embedding methods (e.g., hyper-graphs). This design choice enables our system to generate not only simulated consumer purchase behaviors but also reflects the dynamic interplay between consumer behavior and SKU availability—an aspect often overlooked, among others, because of data scarcity in legacy retail simulation models. Our GAN model generates transactions under stock constraints, pioneering a resourceful experimental system with practical implications for real-world retail operation and strategy. Preliminary results demonstrate enhanced realism in simulated transactions measured by comparing generated items with real ones using methods employed earlier in related studies. This underscores the potential for more accurate predictive modeling....
Consumers perceive the level of organic food prices as the major obstacle to increasing purchases. The main objective of the presented study is to recognize the dierences between the prices of organic and non-organic food (so-called price premiums) in the Polish organic food market. Consequently, in order to determine these dierences, prices of organic and non-organic food were noted in 45 retail outlets providing both types of food products. The investigation was performed within the Pozna agglomeration for nine months, from October 2022 to June 2023. The research showed that organic food price premiums ranged between 35% and over 270%. The lowest premiums were observed in tomato passata, cereal and dairy products, and eggs and olive oil. The highest occurred in chocolate, tea, juices, rapeseed oil, and chicken. Compared to previous studies, premiums observed in the conducted research, although high, have decreased for most investigated products. Moreover, the dierences in price premiums were noted depending on the outlet type—they were lower in supermarket and hypermarket chains than in small retail shops. It should be highlighted that measures to maintain organic market development should be carried out with particular emphasis on the continued participation of retail chains in the distribution of organic food and the increased participation of large companies in processing organic food....
This research paper investigates the retail industry’s phenomenon through omnichannel marketing phenomenon and studies the significant transformative effects. Nowadays, buying over the internet and using digital instruments, consumers have achieved unparalleled self-sufficiency and effortlessly navigated from one digital and physical channel to another. Moreover, choosing a people-focused approach—integrated channel—implies that companies will align with one another and create a unified purchasing experience. It addresses the difficulty of technological development by simultaneously considering each generation’s increased value, especially millennials and generation- z, who choose to buy digitally. The empirical evidence in this study shows that retailers are engaging with some severe challenges in implementing integration due to insufficient resources and the necessity of extensive and dependable IT infrastructure to maintain level interactions. Omnichannel retail has been proven to increase consumer retention, generate clear consumer interests, and increase the general consumer satisfaction level when it comes to obtaining personalized recommendations. These results delve deep into the mechanisms of omnichannel retail and provide strong insight for retailers to take the customer-centric approach. A choice of life in the supermarket dominated by digital space....
The objective of the research was to determine the impact of tax evasion generated by grocery wholesalers in Peru on tax collection, since there are some gaps in the literature that addresses these issues in local markets concerning wholesale companies from medium to large companies. The study sample consisted of 25 local companies; the technique used was the survey, using the questionnaire as a data collection instrument; this instrument was validated by expert judgment and reliability analysis. The study is of basic type, quantitative approach, descriptive-correlational level and non-experimental design. Obtaining results, that wholesale grocery merchants have low tax knowledge due to lack of information and knowledge about tax payments by intentionally failing to pay the taxes due as taxpayers, obtaining a negative relationship of -0.060 of Spearman's Rho, demonstrating that tax evasion by merchants has a negative effect on tax collection. It is concluded that there is a moderate negative relationship between the variable tax evasion and the variable tax collection, which means that the higher the cases of tax evasion, the lower the tax collection that is used for public services for the citizens....
In today’s business landscape, the volume of transaction data is rapidly increasing. This study explores the integration of Point of Sale (POS) and Radio-Frequency Identification (RFID) technologies to enhance the analysis of customer transactions using big data tools. By leveraging these technologies, businesses can extract valuable insights to improve processes, optimize inventory, and boost customer satisfaction. The research employs an object—subject management approach, which facilitates real-time decision-making by merging retail transactions of the clients with their movement patterns. An experiment involving around 7000 customers demonstrates the effective collection and processing of POS and RFID data, highlighting the benefits of integrating these data streams. Key metrics, such as time spent in different store sections, provide deeper insights into consumer behavior. The findings reveal the potential of these technologies to transform retail services, offering opportunities for demand forecasting, risk management, and personalized customer experiences. The study concludes that merging POS and RFID data opens new avenues for developing management solutions aimed at enhancing customer engagement and the operational efficiency of the retailer. Future research will focus on further elaborating these solutions to maximize the benefits of integrated data analysis....
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