Abstract:
The digital revolution is starting to change operational and financial processes in many various
sectors, with Artificial Intelligence (AI) leading the front stage. The recent year’s statistics and
observations show that the financial landscape changed profoundly driven by the convergence of
AI and digital technologies. The core functions of financial management such as cost control and
budgeting are starting their structure due to the rapid use of digital technologies. The most
significant advancement of these digital technologies is Artificial Technologies (AI) that is
transforming the core operations of the financial management including resource allocation,
financial forecasting, budget planning and cost control. Real time adjustments and accurate
forecasting, cost controlling are essential for effective financial strategies in the global business
environment that is full of volatility and uncertainty (Akkani, 2024). Historical models and static
analysis are considered as traditional methods that work ineffectively and show the slow response
to the dynamic market changes. The parts of budgeting and cost control process are outdated and
frequently result in errors, inefficiencies and a reactive approach to the financial management
process. On the reverse side, AI driven systems allow businesses to start continually adjusted and
dynamic financial planning processes applying machine learning and predictive analytics to
provide more adaptable and precise forecasts (Jain & Kulkarni, 2023).
In the emerging economies like Azerbaijan, the development of the digital maturity is still crucial
for improving the retail sector budgeting and cos control system with using the potential of AI.
The businesses are looking for ways to increase competitiveness and cost effectiveness, they are
starting to research and trying to understand how AI can change the budgeting and cost control
process in financial management. This thesis analyses how digital technologies and AI might
improve the cost control and budgeting process in Azerbaijan’s retail industries, purpose to assess
the practical strategies, advantages and readiness for integration.
Across different economics and industries, AI has developed as a powerful accelerator of data
driven decision-making, strategical agility and operational efficiency. Nowadays a lot of cases
show that financial forecasting, cost control and budgeting process requires comparing the
traditional models and dynamic, technological statistical approaches (Akkani, 2024;
Jain&Kulkarni, 2023).