The growth of an intellectual inventory management system is the focus of this idea. The system’s main goal is to bridge the wide gap between inventory management theory and practice and help industrial inventory managers manage their inventory effectively and successfully. Regular pattern recognition and model assortment facilities are two ways the proposed system aims to achieve this. In order to facilitate the function of the pattern identifier and integrate the system into the existing computer-based intellectual inventory management structure, a data administrator has been developed to load data from other applications into the system and influence the history data required for mathematical analysis. The swot up of inventory modelling and the nature and development of professional systems are examined in order to create the model base for the system. The published models that address comparable inventory issues have been assessed according to their suitability for computerization, simplicity, and applicability. To close the gaps in the model base, published models had to be further expanded and modified. It has been explained how the system was developed employing ocular essentials, as well as its general layout and key components. The cooperating companies provided real-world data for the systems testing. Finally, the system’s strengths and weaknesses are examined, and some recommendations for further research are listed.
Ravendra Kumar (Wed,) studied this question.