The article examines robotic process automation (RPA) as a key tool for purposeful operational transformation in retail in the context of structural shifts in the consumer market and increased demands for efficiency. Based on an overview of the Russian market dynamics, it shows that after the departure of several foreign vendors and the completion of urgent migrations, the sector has entered a phase of scaling on domestic platforms, as evidenced by the accumulated portfolio of successful implementations in large companies and the public sector. Empirical analysis shows that RPA is most effective in back-office and non-regulatory processes, where it reduces costs, reduces errors, speeds up end-to-end operations, and improves compliance with built-in traceability. The article proposes a multi-stage management model for implementing RPA in retail, which integrates strategic, organizational, technological, and economic components: from setting goals and selecting processes to designing the architecture, ensuring security, piloting, scaling, and continuous improvement. The model operationalizes standardized process suitability assessments, architectural and integration solutions, and change management loops, ensuring the reproducibility of results and the manageability of the impact at the organizational level. It has been shown that import substitution is a structural determinant of the development of the RPA ecosystem, setting the transition from emergency migration to sustainable scaling and increasing the requirements for modularity, interoperability, and cost-effective support of solutions on domestic platforms.
retail, scalable automation, robotic processes, management model, integration
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