Interdisciplinary Journal of Management Studies

Interdisciplinary Journal of Management Studies

Operational Efficiency Using Deep Learning Technology to Enhance Consumer-Enterprise Interaction

Articles in Press

Document Type : SI: DGDQBP-2026

Authors
Akhil Raj Gaius Yallamelli 1
Rama Krishna Mani Kanta 2
Mohanarangan Veerappermal Devarajan 3
Vijaykumar Mamidala 4
Thirusubramanian Ganesan 5
Abderrahim Bouchair 6
1 Amazon Web Services, Inc, Seattle, 98121, USA
2 Amazon Web Services Inc, Seattle, Washington, 98108, USA
3 EY Government Services LLC
4 Conga (Apttus), San Ramon, CA, 80020, USA
5 Cognizant Technology Solutions, Texas, 77845, USA
6 LIO Laboratory, Computer Science Department, University of Oran1 Ahmed Ben Bella, Oran, Algeria
10.22059/ijms.2026.416613.678654
Abstract
Recently, the process that has been used to create appropriate consumer-enterprises is a significant issue. A system that consists of reasonable and compact operating laws, objectives, participants and conditions that surround popular value development. It should enable the process to meet the needs of consumers to be specialized at a high level while at the same time allowing the company to maintain its operational Efficiency on using Deep Learning Technology (DLT). Furthermore, concepts, strategies, individual behavior and responses in literature and market activities promote the development of positive ties with customers, sometimes as a significant task for managers. It takes the form of systematic organizational principles and associated procedures. This paper discusses the critical developments in customer interactions and the consequent effects of obstacles for the management report and definite characteristics.
Keywords
Compact Operating Law
Operational Efficiency
Consumer-Enterprise
Management Sciences
DLT- Method
Subjects
Interdisciplinary Journal of Management Studies

Articles in Press, Accepted Manuscript
Available Online from 06 October 2026