X5 Launches AI System to Assess Employee Skills and Product Expertise
X5 has introduced an artificial intelligence system that evaluates employees' product management competencies end to end. Staff members complete an interactive session with an AI chatbot and solve practical business scenarios. The platform then analyzes their responses, generates a detailed assessment report, creates a personalized career roadmap, and offers tailored recommendations for professional development.
Until now, evaluating employees' skills and capabilities required human experts, and the process typically took about two weeks. The new system reduces the entire assessment cycle, including the final evaluation, to just a few hours. According to preliminary estimates, it could also save the company more than RUB 25 million annually (approximately $320,000).
Personalized Recommendations and Career Roadmaps
AI-powered assessment tools have already appeared on the Russian market, but they have generally addressed only individual stages of the evaluation process. X5's new digital platform applies artificial intelligence across the entire workflow, from administering assignments to automatically analyzing results, generating reports, and producing personalized development recommendations. Rather than replacing a single task, the virtual assistant conducts the complete assessment process, making evaluations faster and far less dependent on manual expert review.
The retailer uses the platform not only as an HR assessment tool but also as a way to improve the performance of its product teams. Participants complete interactive sessions with an AI chatbot, working through a range of product management scenarios. The system automatically evaluates their responses against predefined criteria, assessing strategic thinking, customer focus, and the ability to demonstrate a product's value. According to X5, the company needed a solution that could significantly reduce both time and costs without sacrificing expert-level evaluation quality.
The System Was Tested on 70 Employees
Seventy employees have already completed the pilot AI-based product competency assessment. According to X5 Tech's Product Competency Center and AI Development Directorate, more than 94% of the system's conclusions matched the assessments made by the participants' managers. The developers say this level of agreement demonstrates that the model is mature enough for production use. The rollout is also expected to reduce the workload for managers and HR teams by eliminating much of the manual effort required to organize assessments, compare results, and interpret findings.
Participants receive personalized career roadmaps highlighting their strengths, areas for improvement, and recommendations for future development. Meanwhile, managers gain a transparent and objective view of their teams' capabilities. X5 plans to integrate the new assessment platform into its regular talent management processes.
More Than RUB 25 Million in Annual Savings
At present, the digital platform focuses on evaluating roles where success depends not only on technical expertise but also on strong product thinking. Preliminary estimates suggest it could save the company more than RUB 25 million per year (approximately $320,000). Also, employees gain a clearer understanding of their professional growth opportunities and receive more objective assessments of their skills and capabilities.
Today, the AI-powered competency assessment platform is an internal corporate project, but it could become a model for Russia's broader HR technology market. It demonstrates how generative AI can be embedded into the day-to-day management processes of a large enterprise. In practice, deployments like this also create demand for enterprise language models, competency analytics platforms, and secure information processing technologies.
At the national level, systems of this kind could improve workforce productivity while helping large employers identify critical skills gaps. They are likely to be especially valuable in IT, retail, banking, telecommunications, and manufacturing, where organizations manage large workforces. Looking ahead, the methods and software components behind this digital platform could evolve into a B2B solution for the Russian market and other partner countries.
