The Role of Artificial Intelligence to Integrate Robotics in Cost Accounting
Keywords:
Robotic technology in cost accounting, Machine learning ML, Deep learning DL, Internet of things IOT.Abstract
Business operations require robotic implementations to develop enhanced cost accounting systems that handle modern robotic technology cost structures. This paper explores how Artificial Intelligence (AI): Machine Learning (ML), and Deep Learning (DL), together with the Internet of Things (IoT) transform industry robotic sectors through enhanced cost allocation optimization as well as automatic financial reporting and improved operational decision-making mechanisms. A quantitative research design processes data obtained from Turkish industrial and logistics operations which concentrate their examination on IoT-empowered robotic systems. The paper employs ML and DL algorithms for predictive cost modeling and real-time cost optimization. The paper shows that using ML boosts robotic operation forecasts while DL detects maintenance patterns alongside IoT technology that enables quick cost model adjustments leading to more precise financial reporting. Combining these technologies drives extensive cost reduction because ML and DL systems decrease wasteful operations and IoT enables predictive maintenance that reduces equipment shutdowns. Paper findings show that ML, DL alongside IoT technology modifies common cost management systems to deliver improved operational performance, together with better financial precision. The successful implementation of these technologies requires solving three main challenges which include the expense of implementation together with data integration difficulties and transparency-related ethical problems. To achieve maximum cost accounting system benefits from these advanced technologies, businesses should focus on developing flexible solutions alongside resilient governance structures.
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