This article examines approaches to peak load management in the operational activities of international logistics operators under conditions of high demand volatility, digitalization, and increasing supply chain complexity. The study is conducted as a systematic review and analytical synthesis of scientific publications focused on demand forecasting, resource allocation, supply chain integration, and the application of digital technologies in logistics. Particular attention is given to interpreting peak loads as a systemic state arising from misalignment between demand, resources, and capacity, as well as to analyzing the relationship between digital controllability and network coordination. A comparative analysis of various load management approaches is carried out, including forecasting, optimization, and integration models, along with an assessment of their impact on the resilience of logistics systems. It is established that the isolated application of individual tools does not ensure effective overload prevention without their integration into a coordinated management loop and supply chain interaction framework. An original adaptive model for peak load management is proposed, reflecting the transition from imbalance detection to structural reconfiguration of flows and system stabilization. The findings make it possible to conceptualize the resilience of a logistics system as a systemic property determined by the level of coordination, integration, and dynamic adaptability. The article may be of interest to researchers in logistics and supply chain management, as well as practitioners engaged in the digital transformation of operational activities.

peak loads, logistics, supply chains, load management, digitalization, integration, resilience, demand forecasting

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