AI Analyst to Help Kazakh Businesses Find Optimal Sales Locations
Kazakhstan’s Ministry of Finance is piloting a digital platform that uses AI and big data to help entrepreneurs identify the most profitable locations for selling their products. Deputy Finance Minister Aset Turysov announced the initiative during a recent briefing. The new AI-driven tool is integrated into the Ministry’s “Digital Map of Public Finances.” It utilizes electronic invoice data, machine learning algorithms, and commercial activity analytics to generate real-time maps of high-demand areas, aimed specifically at small and medium-sized businesses. “The Digital Map includes an AI analyst that processes receipts to identify where and which goods are in highest demand. We are currently testing this feature and plan to make it accessible through digital platforms, such as personal taxpayer accounts,” Turysov said. “If a business owner is unsure where to sell their products, the system will suggest the most advantageous locations.” AI to Support Targeted Subsidies and Smarter Investment The platform is designed not only to boost private sector efficiency but also to optimize state support programs. The AI tool will assist in allocating subsidies and issuing preferential loans by identifying promising business locations. This data-driven approach is expected to enhance investment outcomes and lower the risk of loan defaults. By discouraging over-concentration of businesses in particular sectors or regions, the system promotes more balanced economic development across the country. “For example, if someone wants to open a coffee shop, AI can flag areas where there’s already saturation and recommend neighborhoods where such services are lacking,” said a ministry representative. “This helps entrepreneurs allocate resources more effectively and avoid unprofitable locations.” Customs and Compliance Applications Artificial intelligence will also be implemented at customs checkpoints. In the initial phase, AI systems will match customs declarations with actual images of cargo, automatically detecting inconsistencies. This feature is currently in pilot testing. Parallel to this, the State Revenue Committee is expanding its use of the Digital Map project to gather data on company operations, cash register usage, and commodity flows. “For instance, 260,000 cash registers reported only one receipt over the course of a year, highlighting poor cash discipline. We will be sending notifications to those entities, urging them to increase operational transparency,” Turysov stated. Toward Full Fiscal Visibility Looking ahead, the system will integrate additional data sources, including corporate expenses, to provide a comprehensive view of income and expenditures by region. This will enable dynamic price and commodity flow analysis, supporting more accurate budget planning powered by AI. Turysov also noted that an independent IT audit conducted in 2024 led to a significant digital overhaul of the State Revenue Committee. The number of internal platforms was reduced from 14 to 5 key systems: Smart Data Finance (SDF), the Integrated Tax Administration System (ISNA), SUR, ESF, and Keden. “The Smart Data Finance system is now the core of our digital transformation. It consolidates data from 74 sources, automates tax processes, reduces paperwork, and forecasts revenues using AI,” Turysov said. Previously, The Times of Central Asia reported that the Ministry of Finance will begin blocking...
