scholarly journals Positive and Ntgative Aspects of Pricing Automation in Digital Marketing

2021 ◽  
Vol 5 (3) ◽  
pp. 43-52
Author(s):  
Olha Seleznova ◽  
◽  
Veronica Shmahina ◽  
Tetyana Yegorova-Gudkova ◽  
◽  
...  

The aim of the article. The relevance of the study is justified by the fact that users of online shopping services are becoming more and more every day and at the same time there is an active spread of online commerce in terms of digital marketing. In the circumstances of the trading company development and the growing number of its outlets, the task of automating pricing, collecting and analyzing information about market prices is becoming increasingly important. Since trade margins vary for different groups of goods, and the final price depends on the input price of the supplier, setting the selling price for the entire range of goods takes a significant amount of time from the management (director or manager) of the company, distracting him from important strategic objectives. Thus, the solution of the problem of pricing automation and definition of its digital aspects will allow to direct valuable time resource on business development, diversification of risks and maintenance of profitability of the enterprise. The purpose of the work is to study the positive and negative aspects of pricing automation in digital marketing. Analyses results. The positive and negative aspects of pricing automation in digital marketing are investigated in the work. The authors disclosed the benefits of implementing a pricing automation system for the management of the enterprise carrying out its business activities in the Internet space: saving time for authorized persons, accelerating the collection, analysis and processing of market prices, setting prices at the enterprise according to established algorithms, minimizing errors during pricing, profit growth, increased motivation. The risks that need to be kept in the mind when implementing any pricing automation systems are highlighted too: the need for refinements in the use of software, the possibility of errors in algorithms, dependence on the software executor, the need to back up data, averaging prices when revaluing goods. There is provided a list and summary of the world's popular software products used to address the research issue: Prisync, Informed, Amazon Repricer from Repricer Express, Skuuudle. The parsing method is considered in detail in the article as one of a popular in the national market. The advantages (automaticity and efficiency, target direction, allocation for processing controversial points of pricing, tracking the dynamics of market prices) and disadvantages (possibility of misreading of algorithms, duration of testing, software cost) of price parsing for Internet retailers are revealed in this work. The novelty of the study lies in the selection of previously unresolved issues of research and application of the process of automation of pricing in the market of IT and Internet retail. Conclusions and directions for further research. Prospects for further exploration should be a more detailed study of pricing automation methods of enterprises operating in the global Internet.

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2598
Author(s):  
Guanjing Lin ◽  
Marco Pritoni ◽  
Yimin Chen ◽  
Jessica Granderson

A fault detection and diagnostics (FDD) tool is a type of energy management and information system that continuously identifies the presence of faults and efficiency improvement opportunities through a one-way interface to the building automation system and the application of automated analytics. Building operators on the leading edge of technology adoption use FDD tools to enable median whole-building portfolio savings of 8%. Although FDD tools can inform operators of operational faults, currently an action is always required to correct the faults to generate energy savings. A subset of faults, however, such as biased sensors, can be addressed automatically, eliminating the need for staff intervention. Automating this fault “correction” can significantly increase the savings generated by FDD tools and reduce the reliance on human intervention. Doing so is expected to advance the usability and technical and economic performance of FDD technologies. This paper presents the development of nine innovative fault auto-correction algorithms for Heating, Ventilation, and Air Conditioning pi(HVAC) systems. When the auto-correction routine is triggered, it overwrites control setpoints or other variables to implement the intended changes. It also discusses the implementation of the auto-correction algorithms in commercial FDD software products, the integration of these strategies with building automation systems and their preliminary testing.


2019 ◽  
Vol 9 (1) ◽  
pp. 561-570
Author(s):  
Khoa Dang ◽  
Igor Trotskii

AbstractEver growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.


2018 ◽  
Vol 8 (12) ◽  
pp. 2460 ◽  
Author(s):  
Cyntia Vargas Martínez ◽  
Birgit Vogel-Heuser

System intrusions violate the security of a system. In order to maintain it, it is necessary to decrease the chances of intrusions occurring or by detecting them as soon as they ensue in order to respond to them in a timely manner. These responses are divided in two types: passive or reactive responses. Passive responses are limited to only notification and alerting; whereas, reactive responses influence the intrusion by undoing or diminishing its consequences. Unfortunately, some reactive responses may influence the underlying system where the intrusion has occurred. This is especially a concern in the field of Industrial Automation Systems, as these systems are critical and have a well-defined set of operational requirements that must be maintained. Hence, automatic reactive responses are often not considered or are limited to human intervention. This paper addresses this issue by introducing a concept for reactive protection that integrates the automatic execution of active responses that do not influence the operation of the underlying Industrial Automation System. This concept takes into consideration architectural and security trends, as well as security and operational policies of Industrial Automation Systems. It also proposes a set of reactive actions that can be taken in the presence of intrusions in order to counteract them or diminish their effects. The feasibility and applicability of the presented concept for Industrial Automation Systems is supported by the implementation and evaluation of a prototypical Reactive Protection System.


Author(s):  
Prihatini .

In most laboratory LAS (Laboratory Automation System) system recently have been used. though, not all of them used theautomation system and LIS.the LAS is used for the diagnosis of diseases, because it can decrease the error factors as weel as thelaboratoric examination. Regarding to decreasing problems, the expenses of patients who staying in the hospitals could be reduced aswell as their time to stay. the purpose of this article is to know comprehensively LAS and its services in the future in the hospitals' clinicallaboratory. Because before LAS was used the diagnosis time of diseases take a long time as compared to LAS.


Author(s):  
Parkhomenko Anzhelika ◽  
◽  
Tulenkov Artem ◽  
Zalyubovskiy Yaroslav

The paper presents the results of the analysis of electrical switchboards computer-aided design process features. The problems of modeling and ensuring the normal temperature mode of switchboard equipment functioning for safe operation of home automation systems are investigated. The work shows that the shortcomings of existing methods and systems of monitoring make it impossible to use them for remote monitoring of the parameters of switchboard equipment due to a whole set of structural and functional features of developed objects. The main requirements for remote monitoring subsystem are compact modular design of hardware that will save space while providing the necessary functionality, low cost, and low power consumption of the components; reliable transmission of monitoring data over long distances, and data storage for further mining. The results of the development and implementation of the method of remote monitoring of electrical switchboard equipment critical parameters are presented. The possibilities of Orange opensource software using for data visualization and intellectual analysis are shown. The identified associative rules can be used for further improvement of control scenarios of the home automation system and ensure the reliable operation of switchboard equipment. The scientific significance of the work lies in the fact that the method of remote monitoring of operational parameters of electrical switchboard has been further developed based on the developed methodology for determining conditions and types of user notifications as well as the integrated usage of wireless data transmission technologies, cloud storage technologies and data mining tools. The practical significance of the obtained results is that the introduction of the remote monitoring subsystem will increase the reliability and security of the home automation system and its attractiveness to users. Further work will focus on the intellectual analysis of the data obtained based on Bayesian networks to develop and study patterns of human activity during home automation system operation to formulate recommendations for the user and specialists to improve the control scenarios of the home automation system. Key words: home automation system, switchboard equipment, remote monitoring, temperature mode, wireless technologies, cloud service, associative rules.


Author(s):  
Cengiz Kahraman ◽  
İbrahim Yazıcı ◽  
Ali Karaşan

Digital marketing is the integrated processes of building and maintaining customer relationships using online channels to establish the exchange and flow of products, and services in the market. It is the marketing that bridges electronic technology with psychology in the marketplace. Fuzzy sets can handle the uncertainty and human-manner linguistic evaluations in digital marketing. The objective of this chapter is to summarize and classify the literature on digital marketing, which uses the fuzzy multicriteria decision making methods (MCDM), and predict the future directions for digital marketing. Our chapter will include the main definitions and principles of digital marketing with its challenges. We also give a brief definition of the fuzzy MCDM used methods in the literature. We use graphical illustrations techniques for summarizing the survey results.


2019 ◽  
Vol 111 ◽  
pp. 05024
Author(s):  
Ralf Ulmer ◽  
Jochen Müller

Building automation systems are used to meet the increasing requirements for energy efficiency and sustainability of buildings. In such systems, BACnet has established itself as the standard communication protocol for communication between devices from different manufacturers. In order to ensure conformity with the BACnet standard, the devices are certified for conformity. In practice, however, the implementation depth described in the standard profiles is not sufficient for operating a system. As a result, many users demand an extended implementation depth of the BACnet protocol. In most cases, an AMEV certificate is sought, which extends the BACnet objects and their properties in comparison to the standard certification. Despite the BACnet standard certification and the fulfilment of the AMEV test certificate, problems often occur during the operation of building automation systems. These problems can be attributed to the fact that neither the functionality nor the performance of automation stations are determined. In addition, special user requirements are not checked before commissioning a building automation system. For this reason, a model was developed with the help of which a pre-commissioning of the automation station is possible in order to automatically check it for errors and special user requirements before commissioning. Initial tests of automation stations revealed that some user requirements were not met.


Author(s):  
Dang Nan

In order to realize the power system defense security, this article puts forward the idea and method of constructing power dispatching automation systems with a cloud computing architecture and realizes the unified management of distributed resources with server virtualization technology. Real-time online migration of each module of the scheduling system is realized by using the in-memory data transfer technology. The multi-node network heartbeat detection technology is used to realize the complete monitoring of the server cluster. In the form of an independent disk array, the fault node is removed, and the service is restored automatically. The whole disaster reserve of the system is realized by means of remote resource mapping. System analysis results show that compared with traditional architecture, the service interruption probability of the new scheduling automation system is effectively reduced. Fault redundancy capacity in the station is increased from a key module 2 node to multi-node protection of all modules.


2018 ◽  
Vol 60 (5) ◽  
pp. 435-438 ◽  
Author(s):  
Norbert Wirth

Artificial intelligence based applications are emerging in a broad range of expert domains. News about AI based solutions in medicine, industrial production processes, logistics, mobility and digital marketing trigger discussions and a lot of speculation. The market research industry seems hesitant and at the same time eager to embrace this new technology. In this article the author provides a definition of artificial intelligence and its different forms: narrow AI, hybrid AI and strong AI. He concludes his reflection on the question whether it’s feasible to develop AI based marketing insights solutions with the recommendation: it’s time to embrace AI.


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