Efficiency of AI Tools in Business Management for GST Law Practices and its Footprint Implications on FMCG Sectors
Year: 2026
Type: article
Abstract: Data analysis, data automation, data sinking, paperless processing was a nightmare but now in the context of GST system is fully AI driven automated data analysis’s applications offers significant opportunities for supplier, dealer and, small-scale industries and AI helps us with data automation, data sinking ,real time data reconciliation, data discrepancy etc., which improves operational efficiency much faster than before . This can lead to increased productivity, efficiency in processing, better quality control, and the ability to access wider markets for rural businesses. AI-powered solutions can also support rural entrepreneurship in FMCG (Fast Moving Consumer Goods) sector, create new job opportunities, and enhance the overall economic growth of rural and urban communities. AI tool is a also empowering social life by offering solutions across various sectors like agriculture, education, healthcare, and finance. By leveraging or utilizing of AI technology in new business, new startups can get access essential services to improves their efficiency, and build a more sustainable future. Therefore govt has redefined its functions by adopting AI technology to streamlines its operations in more efficient manner. Specially in solving startup or new business registration process, licensing, grievance redressal mechanism, tax compliance risk, paperless assessment etc.. That’s how AI tools simplifies the process by auto population of data - automating the task like tracing transaction details, matching information, early detection in operations errors, getting license easy flow of supply chain, inventory management, transaction records, matching invoice, detection of anomalies , frauds and generating reports etc.,. Key words : Data automation, Real time data base access , Tax compliance ,Anomalies. 1.Introduction Usage of AI technology has become a necessity in all the fields hence forming an integral part of FMCG business, and across the industries to transform fundamental business operations .As a business man, consultant ,expertise we have to review the FMCG business prospects along with AI integration for smoothening business management functions and to confront the guidelines, policies, amendment laid down by govt., . AI driven businesses will be in a position without human interference again stand as an issue, because of various complexities such as lack of knowledge of future industrial policy , tax provisions, transparency and accountability with respect to securities protocol ,and privacy. Many of the entrepreneurs are still struggling with the frame work of tax policy, its amendments and its standards to get their business registered for tax payment and financial plan to setup startups to integrate the cutting edge technology for their business. Many global level FMCG companies using cloud computing services and adopting AI technology for analyzing consumer data and forecast market tend to predict market behavior on demand. Thus, AI enables business to follow personalized marketing strategy to offer wide range of services to consumer. Moreover we could see the significant changes in business operation due to digital transformation in operation and management, for instance, using robotics in repeated tasks, inventory management applications, contamination and toxic detection in food processing, ensuring safety standards for health using technology. With this view we could say that the Entrepreneurs have amplified opportunities to stand in market to start a new conducive business environment as technology resilience boost-up the FMCG sector to grow faster as it stimulates health services, sustainable products and environmental concerns. But off late, due to some modifications in regulations, adoption of technology, digital marketing trend, data driven business, business tax payers and experts believe that there are a lot of disruptions in existing regulatory frame work which interrupt them to carry out their business. Therefore recently , it has been identified that the Finance minister Nirmala Sitharaman and other senior officials are in action to streamline the current GST registration and other process by setting up parameters to improve the interest of various stakeholders in GST related issues and to enhance administrative efficiently by using AI technology . Source:http://timesofindia.indiatimes.com/articleshow/121986059.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst Thus by considering this issues as a research gap, this study is carried out to find the effectiveness in regulatory framework and contributing factor to the business which fill the gap between their issues . 2.Latest developments : Recently many notifications, circulars had been issued based upon the detection of many anomalies. For instance things that are found from the sources of across the web are: An AI tool can instantly identify mismatches between GSTR-2A and your purchase register. In the previous financial year alone, the department has detected GST evasion amounting to Rs. 30,000 crore through AI. Biometric aadhar notification (13/2024 dated 10th July 2024) issued by CBIC for GST registration is now made mandatory to whole India. Earlier it was used in trial basis on Gujarath and Puducherry. It has been said that the department had detected GST evasion amounting to Rs 30,000 crore through AI in the last year 2023-24. GST row Benglaurau, Karnataka: many street vendor ,small scale traders and merchants in Bengaluru in Karnataka had expressed voice of worry about receiving of GST notice from the commercial department regarding UPI transaction which surpasses Rs 40 lakh per year . Compliance under GST very high Circular and case law to similar business, Default notice for payment of tax , Reminding due dates to file the tax, Blocking of e way bill generation who failed to submit the return AI generated assistants may create confusion to tax payer, chartered accountant with latest amendment to file the tax. Bill mismatching, ITC on wrong entry, transaction reconciliation Real time tracing E-way bill system Interest despite tax payment Technological hurdles Complex tax structure Compliance burden Amendments in tax rate on products 3.The strong evidence to support these above issues On 15-08-2025 prime minister of India and ministry of finance after also stressed the significance changes in may happen gradually to overcome from the above issues to develop small industries to improve sustainability of MSME industries and supportive business Accounting and billing software for tax payer recommended in GSTN.org Empanelled Companies & Products The final list of Accounting and Billing Software products that are being made available free of cost to all tax payers(of annual turnover < INR 1.5 crore) is given below:- source: https://gstn.org.in/empaneled-companies Sr. No. Name of Company Product Name 1 Adaequare Info Private Limited UBooks 2 Cygnet Infotech Private Limited Cygnet FACE 3 Focus Softnet Private Limited FocusLyte 4 IRIS Business Services Limited CaptainBiz 5 Relyon Softech Limited Saral Accounts 6 Zoho Corporation Private Limited Zoho Books 4.Statement of Problems The research question is that AI system implementation and integration is a significant challenge to many stakeholders such as accountants, tax consultants, business men mainly with concern to data security, privacy, and ensuring accessibility, affordability specially new entrepreneurs in many sectors because of limited financial resources. Therefore, this study is conducted to understand the effectiveness of AI technology and how it impacts on stakeholders interest in their routine function. Objectives of the study To understand the effectiveness of AI driven technology in existing system of tax and business operation and management . To trace out key factors that contribute to improve the performance of FMCG . Hypothesis test statement H0: there is no significance difference between using of AI technology in existing system of tax H1: there is a significance difference between using of AI technology in existing system of tax Research Design and Methodology Present study is a empirical in nature. The population in this study was various stakeholders of GST registered like Suppliers, dealer, tax payer, and tax professionals etc. The methods of sampling was stratified sampling technique, methodology of data was collected from representative group of large population. Collected data will be based on primary and secondary sources (based on Demographic, industrial and work force segmentation basis ). The criteria for collecting data based up on different respondents was :- Tax Professionals Registered supplier ,Agencies and dealers, working professionals, Service provider , academicians , tax consultant , Industry specific similarities Among the professionals. 5.Data Sources: The study uses both primary data (collected through interview, questionnaires) and secondary data (obtained from previous research and literature reviews). Sampling Technique : The stratified sampling techniques was employed by researcher for the data collection and statistical analysis Data Collected data was purely based upon questionnaires which consists direct questions, close-ended questions, and multiple-choice questions. 6.Data Analysis: 7.Testing of hypothesis is done through by using SPSS software Item Statistics Mean Std. Deviation N var_rateofai 3.27 1.181 93 varaiimapct 3.27 1.181 93 varamendmentchange 2.71 1.028 93 Correlations var_rateofai v
Authors: Mahamad Khaleel M, Dr.S. Chitradevi
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7154626441
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