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Application of Predictive Analytics to Sales Planning Business Process of FMCG Company
P. 167–170.
Panvlyuchenko, K., Panfilov, P.
Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting product sales. Because market trend is very unstable, company needs to know how much to produce. This work focuses on implementing predictive analytics inside existing business process, to increasing the efficiency of company stock, shipment planning. The subject of the work is predictive analytics tools and machine learning algorithms, that can be used in existing business process; the object - a predictive model that forecast target values and formula for evaluating its impact inside FMCG Company "X".
In book
NY: Association for Computing Machinery (ACM), 2021.
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
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This textbook is designed to develop students' holistic understanding of modern production processes and methods for their analysis and management using machine learning technologies. In the context of the fourth industrial revolution, where traditional engineering disciplines are inextricably intertwined with intelligent data processing methods, there is a growing need for specialists capable of integrating knowledge ...
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Steurer B., Vanhaelen Q., Zhavoronkov A., Journals of Gerontology - Series A Biological Sciences and Medical Sciences 2024 Vol. 79 No. 9
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Springer Publishing Company, 2025.
The three-volume set LNCS 14476-14478 constitutes the post conference proceedings of the 4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023, held in Pizzo Calabro, Italy, during June 14–20, 2023.
The 45 full papers presented in this book together with 60 short papers were carefully reviewed and selected from 170 submissions.
The papers focus on ...
Added: November 23, 2025
Dvoinin A., Информация и образование: границы коммуникаций 2025 Т. 25 № 17 С. 125–127
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Maillard J. P., Mihalchenko A., Novikov D. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 109 No. 2 Article 023523
We present a signal-foreground separation algorithm for filtering observational data to extract spectral distortions of the cosmic microwave background (CMB). Our linear method, called the least response method (LRM), is based on the idea of simultaneously minimizing the response to all possible foregrounds with poorly defined spectral shapes and random noise while maintaining a constant ...
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Makarov D. M., Kalikin N., Budkov Y. et al., Journal of Chemical Information and Modeling 2025 Vol. 65 No. 8 P. 4043–4056
Accurate solubility prediction in supercritical carbon dioxide (scCO2) is crucial for optimizing experimental
design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive solubility database containing 31,975 records has been compiled, providing a foundation for developing predictive models applicable to a diverse class of chemical compounds, with a particular ...
Added: April 16, 2025
Ишанхонов А. Ю., Pshichenko D., Можаровский Е. А. et al., Программные системы и вычислительные методы 2024 № 4 С. 140–150
The role of Large Language Models (LLM) in new generation integrated development environments (IDEs). Tools such as GitHub Copilot, IntelliCode and Alice Code Assistant are explored in the context of their use in programming. The authors examine how LLMs enable the automation of key development tasks, including code autocompletion, error detection, refactoring, and code generation, ...
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Pshichenko D., Znanstvena misel 2024 No. 96 P. 38–42
The article analyzes the application of artificial intelligence (AI) models for forecasting market volatility (MV). Examples of algorithms such as recurrent neural networks (RNN), long short-term memory (LSTM) networks, and regression methods are studied, demonstrating their effectiveness in processing time series and identifying complex data patterns. The importance of integrating machine learning (ML), as a ...
Added: March 10, 2025
D. Pshychenko, Вестник Воронежского института высоких технологий 2024 Vol. 18 No. 3 Article 14
The article discusses the optimization of business processes using automated control systems based on
artificial intelligence (AI). Modern methods such as machine learning, robotic process automation,
natural language processing, and predictive analytics are examined, which enhance operational
efficiency, improve forecasting accuracy, and minimize errors. The advantages of implementing AI in
various business sectors are analyzed, including the automation of ...
Added: March 10, 2025
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А. et al., Конкурентоспособность в глобальном мире: экономика, наука, технологии 2024 № 9 С. 56–61
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are ...
Added: March 10, 2025
Pshichenko D., Инновационная наука 2024 No. 7-2 P. 40–45
This paper evaluates the effectiveness of AI-based Customer Relationship Management (CRM) systems
compared to traditional CRM systems. It examines the impact of AI integration on business operations, focusing
on automation and personalization. A comparative analysis highlights significant advantages of AI-CRM systems
in terms of customer satisfaction and operational efficiency. The study also addresses challenges, including high
implementation costs and ...
Added: March 10, 2025
Tao M., Hao F., Wei L. et al., IEEE Transactions on Computational Social Systems 2024 Vol. 11 No. 6 P. 7373–7385
Attributed social networks are pervasive in real life and play a crucial role in shaping various aspects of society. These networks not only capture the connections between individuals but also encompass the associated attributes and characteristics. Analyzing and understanding these attributes provide insights into social behaviors, information diffusion patterns, and the formation of influential communities. ...
Added: February 25, 2025
Mustafina N. I., Plaksin M. A., Mikisheva P. A., Proceedings of the Institute for System Programming of the RAS 2024 Vol. 36 No. 2 P. 47–58
The article discusses the issues of planning and resource management in the process of testing
software systems. The paper presents the ACC analysis method used at Google to optimize the distribution of
efforts for testing different parts of the system. Extending the method by adding a fourth characteristic - actors
(roles of system users) – allows for a ...
Added: February 17, 2025
Krivonosov M., Nazarenko T., Ushakov V. et al., Technologies 2025 Vol. 13 No. 1 Article 13
This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). SGNNs are particularly good forto addressing the challenges posed by high-dimensional datasets, particularly in healthcare, where traditional mMachine lLearning and Artificial Intelligence methods often struggles to find global optima due to the “curse of dimensionality”. To ...
Added: December 23, 2024
Kishankumar Bhimani, Saradva K., Системы и средства информатики 2024 Vol. 34 No. 4 P. 115–136
An increasing number of domains in science and industry rely on the intensive use of data. In such domains, obtaining new knowledge is almost impossible without the use of modern methods of data analysis and visualization. A typical example is the domain of human resource (HR) management. This paper proposes an approach to the application ...
Added: December 9, 2024
Litvinenko N., IEEE Access 2024
Added: December 9, 2024