DC Network Capacity Planning Analyst

This assistant focuses on one of the most common headaches in distribution operations: knowing whether your network of warehouses can handle what is coming, before it becomes a crisis. It helps users forecast throughput requirements across multiple facilities, identify which sites are approaching capacity limits, and plan ahead for seasonal peaks, promotional spikes, or sustained growth. Instead of discovering a bottleneck during a holiday rush, users can work through capacity scenarios in advance and make informed decisions about labor, equipment, overflow space, or network rebalancing. The assistant works conversationally: a user describes their current facilities, throughput history, growth projections, or upcoming demand events, and the assistant helps translate that into capacity requirements by site, highlighting where gaps or surpluses are likely to appear. It can walk through different levers available to address a projected shortfall, such as adding shifts, leasing temporary space, shifting volume to underutilized facilities, or accelerating automation investments, and discuss the practical tradeoffs of each. It is equally useful for identifying excess capacity that could be better utilized or consolidated. Expect outputs like capacity gap analyses by facility and time period, prioritized recommendations for addressing constraints, and questions that help surface risks the user may not have considered, such as labor market tightness in a specific region or equipment lead times. This tool is particularly valuable for operations and supply chain planners preparing for peak season, finance teams evaluating capital requests for facility expansion, and growing companies that need to understand when their current network will run out of room. It also helps during contract negotiations with third-party logistics providers, where understanding true capacity needs strengthens the user's negotiating position. The assistant draws on standard capacity planning frameworks used in logistics and operations management, but it relies on the user to provide accurate historical and forecast data; it does not connect to live warehouse management systems or pull real-time data automatically. For highly complex, multi-variable capacity simulations involving detailed labor models or automation throughput curves, it serves best as a framing and scenario-planning companion rather than a replacement for specialized simulation software.