Optimize Efficiency – All Across the Fulfillment Continuum.
Smooth inventory replenishment is a prerequisite to efficient fulfillment. Navigating complexity, the effective modern warehouse restocks efficiently – so it can complete orders on-time and cost-effectively.
Optimizing palletization, ensuring accurate rainbow pallet formation, enabling efficient cube formation, and maximizing truck fill rates. Ranger Dock-to-Stock (DTS) delivers the one-stop solution for optimizing dock-to-stock, truck-to-stock and stock-to-truck transfers and shipments.
Ranger DTS automates the palletization and transfer of inventory to various warehouse locations. And choreographs people and robots – including palletizers, automatic robot arms and intralogistics system – to execute complex stock movements that power your fulfillment operation to:
Ranger DTS enables the warehouse to achieve the following:
Dynamically orchestrating the unloading sequence and buffering mechanism for pallet formation with integrated sequencing and workflow orchestration to ensure palletization accuracy.
Creating ready-to-ship rainbow pallets transferable from dock to move to forward-pick area, reserve area or cross-dock.
Integrating with multiple robotic agents and ERP systems to allow inventory to be prioritized and smartly stored. Enabling on-demand availability of intralogistics robots.
Using sequencing and de-sequencing algorithms to optimize palletization and de-palletizing.
Creating dynamic pallets for faster putaway to forward fulfillment zones, channel-agnostic storage and cross-docking.
Handling various and mixed SKUs, cartons, cases and totes in single-SKU stacks or SKUs mixed by business rule in one location (e.g., same SKU kept together for different channels and others mixed based on demand order patterns).
Powering it with 360° operational warehouse awareness to orchestrate dock-to-stock processes in sync with the flow of the floor – and keep pace with demand. The activities of Ranger DTS are integrated into GreyMatter’s machine learning capabilities to constantly enhance its bots’ operational performance.