Price: 0
Number of applications: 5
03.04.25 (inclusive)
Interaction and recruitment for work under the contract
Finished product
ICT tasks
Robotics
Neurotechnology and artificial Intelligence
Purpose and description of task (project)
The process includes a vector semantic search for HS codes using AI, which ensures accurate comparison of product descriptions with classification and improves the quality of data processing.
Software/ IS
Traditional methods of selecting HS codes require considerable time, depend on the human factor and can lead to classification errors. This creates risks of incorrect calculation of duties, delays at customs and legal disputes.
- Reducing the time and labor costs of taxpayers of foreign economic activity. - Automation of analysis and recommendations on the selection of HS codes, which will speed up the process and reduce the burden on employees. - Improving the accuracy of determining HS codes to reduce errors and eliminate the need for clarifications. - Automation of the selection of suspicious transactions for detailed study, which will reduce the burden on analysts. - Identification of fictitious operations through the analysis of large amounts of data, increasing efficiency compared to manual processing. - Optimization of data analysis and notification generation for taxpayers, reducing the proportion of non-targeted notifications. - Reduction of big data processing time. - Improve the accuracy of working with data and reduce the likelihood of errors.
Digital Government Support Center
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