| PDF: |
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Author(s): |
Nemytova A. V., Shirinkina E. V., |
| Number of journal: |
1(74) |
Date: |
March 2026 |
| Annotation: |
The purpose of the research is to develop the conceptual
foundations of an intelligent sales management system
(ISMS), which ensures the transition from reactive to proactive
and self-learning management of commercial processes. The relevance
of the study is due to the inability of traditional CRM systems
to quickly adapt to the growing volatility of markets and dynamic
changes in consumer behavior. In the context of digital transformation,
a reactive approach based on the analysis of historical data
is becoming insufficient to maintain competitiveness.
The object of the research is architecture, functional modules
and principles of integration of adaptive algorithms in sales
management systems. The methods of study were: system analysis, comparative
analysis of technological solutions, synthesis of architectural
components, and description of the principles of machine learning
integration.
Based on the results obtained, three-module ISMS architecture
was developed using system design and synthesis methods,
including modules for predictive analytics, adaptive decision
making, and process automation.
This architecture provides a continuous forecastdecision-
action cycle by integrating machine learning technologies
and real-time big data processing. Using the case
study method, cases of successful implementation of similar
systems in Russian companies were presented and analyzed,
which demonstrated a significant increase in key performance
indicators.
As the main conclusion, it can be noted that the proposed
concept of an intelligent sales management system represents
a qualitative leap in the evolution of CRM systems, providing
a transition from reactive data capture to proactive optimization
of business processes through the integration of predictive analytics
and adaptive algorithms. |
| Keywords: |
intelligent sales management system, predictive
analytics, machine learning, big data, proactive management,
adaptive algorithms, dynamic pricing, automation of business
processes, customer orientation, customer experience management,
hybrid data processing, sales optimization |
| For citation: |
Nemytova A. V., Shirinkina E. V. Conceptual foundations of intelligent sales management systems. Biznes.
Obrazovanie. Pravo = Business. Education. Law. 2026;1(74):58—63. DOI: 10.25683/VOLBI.2026.74.1500. |