Support System of Solutions for Planning Sales Activities in the Tourism Industry
Iryna Davydenko1, Olga Shykina2, Petro Gudz3, Oleh Tovkan4, Liliya Yakymyshyn5, Olena Golovchenko6

1Iryna Davydenko*, Department of Tourism, Hotel and Restaurant Business Odessa National Economic University, Odessa, Ukraine.
2Olga Shykina, Department of Tourism, Hotel and Restaurant Business Odessa National Economic University, Odessa, Ukraine.
3Petro Gudz, Management Department, National University “Zaporizhzhya Polytechnic”, Zaporozhye, Ukraine.
4Oleh Tovkan, Department of Economics of Enterprise and Investment, Institute of Economics and Management, National University Lviv Polytechnic, Lviv, Ukraine.
5Liliya Yakymyshyn, Industrial Marketing Department, Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine.
6Olena Golovchenko, Department of Economics and International Economic Relations, International Humanitarian University, Odessa, Ukraine.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 3979-3983 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9082088619/2019©BEIESP | DOI: 10.35940/ijeat.F9082.088619
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Abstract: The problems of creating methodologies and analytical models for decision support for planning and forecasting operational activities are compounded by the vast majority of tourism companies due to industry specifics and are currently not fully developed due to the current level of business planning, the traditional commitment of company management to administer and situational management, the prevalence of a retrospective approach to analysis over-promising, low quality and similar data of managerial accounting for the formation of a reliable operational “fact”, as well as weak formalization and automation of the in-house process of financial and economic planning and forecasting based on information and analytical systems. The developed decision support system for marketing planning in the tourism industry and the supporting algorithm incorporates the functionality of sliding adaptive planning of daily revenue, which can significantly reduce the information gap between the strategic and operational levels of tourism company management and significantly improve the quality of the generally accepted process of budget marketing of sales. As a result, the decision support system not only takes into account the features of the typical process of corporate marketing planning but also allows you to design a system of dynamic planning and to forecast the marketing activities of a travel company with improved properties of efficiency, accuracy and adaptability
Keywords: IAS DSS, Planning, Sales Activities, Solutions, Support System, Tourism Industry.