Demand Planner, HEYDUDE Digital Marketplaces - Crocs, Inc.
Crocs, Inc. is recruiting a Demand Planner for its HEYDUDE brand in Westwood, Massachusetts. The official careers listing, dated October 29, 2026, was verified as open with an active Apply Now button. The listing describes a hybrid role focused on forecasting demand for digital marketplace channels while supporting regional distribution of direct-to-consumer demand and expansion into marketplaces. The planner translates sales trends, promotions, seasonality and marketplace inputs into actionable plans, aligning demand forecasts with inventory placement, fulfillment capacity and service-level objectives. Responsibilities include collaboration with Marketplace, Commercial, Supply Chain and Distribution teams; monitoring forecast accuracy, sell-through, in-stock availability and inventory health; recommending corrective actions; executing recurring allocation processes; and developing SKU- and size-level demand insights for replenishment and placement priorities. Dataleo's interpretation is that demand signals can be collected and analyzed automatically, but the cross-channel choice of where to position scarce inventory and what service levels to protect remains an accountable planning decision. No salary or contract type is asserted. Image disclosure: the company-logo field contains a thematic Pexels stock photograph of colorful sneakers on shop shelves (photo 36727025), not the official Crocs or HEYDUDE logo or an employer-provided image.
This planner is the human integrator between fast-changing marketplace signals and executable inventory decisions. Promotions, seasonality, sell-through and channel-specific demand can inform forecasts quickly, but someone must decide how to allocate stock across marketplaces and direct-to-consumer flows while balancing service levels, fulfillment capacity and inventory health at SKU and size level. The condition for value is a planning process that converts timely signals into feasible allocation and replenishment decisions with clear ownership of assumptions and exceptions. The key trade-off is protecting marketplace availability without stranding inventory in the wrong channel or undermining other service commitments. The failure mode is treating a stronger demand signal as an automatic instruction to move inventory without testing capacity, stock position and competing priorities. Demand sensing may automate signal collection, but the job description leaves accountable human judgment central to the balancing decision; it does not substantiate deployment of a particular AI system.