To resolve inventory conflicts during peak seasons, prioritize high-demand products and key customers. Use real-time data to adjust allocations quickly and collaborate closely with sales and distribution teams. Flexibility and clear communication will help manage expectations and smooth out conflicts.

When managing inventory during peak seasons, the key aspect is dynamic resource allocation, taking into account projected fluctuations in demand and changes in production capacity. To achieve this, it is recommended to implement machine learning algorithms that predict demand with high accuracy and use advanced resource planning (ERP) systems to optimize inventory. It is also important to implement the concept of "lean manufacturing" (Lean), which helps minimize excess and reduce response time to changes in demand. Continuous monitoring and analysis of KPIs allow you to quickly adapt strategies, preventing shortages or excesses of goods.

To resolve stock allocation conflicts during peak seasons effectively, I adopt a structured approach. First, I analyze historical data and demand forecasts to prioritize critical products and ensure high-demand items are allocated appropriately. I adjust allocation policies according to seasonal needs, aligning priorities with actual demand. I establish constant communication between sales, production, and logistics teams to align expectations and quickly adjust plans. I develop contingency plans to handle unforeseen issues and maintain flexibility in stock allocation. I continuously monitor stock performance and make real-time adjustments to ensure efficient allocation and minimize conflicts.