Usage Feasibility of AI-Based Intellectual Instruments for In-Firm Planning

Abstract

Artificial Intelligence features as instruments for in-firm and strategic planning are expanding to markets. This paper provides an overview of modern AI approaches. As AI tools, several instruments with detailed descriptions are listed in this paper. The algorithms allow a more flexible approach for in-firm processes forecasting. Such instruments are several in-firm tools using deep-neural networks as a flexible alternative to regression. They are intended for usage in demand forecasting and production batch size prediction. As a result, a prospective cross-industry SaaS-platform (software as a service) is provided as the most convenient way to implement and use such technologies. This paper provides calculations for such software, gives examples, and what role this software plays in modern business conditions. Integration of such methods can be expensive for customers. Costs and risk estimations of modern ERP and CRM systems are calculated. As a result, it is described why expediency of integration of such systems is substantiated.