# Cube-Based Storage Systems > Site directory and reading guidance: [llms.txt](https://wiki.skusavvy.com/llms.txt). Canonical URL: https://wiki.skusavvy.com/article/cube-based-storage-systems Published: 2026-11-04T06:09:05.306Z Last updated: 2026-11-04T06:32:30.783Z Category: Warehousing > This article is AI-assisted reference material. Verify important or time-sensitive claims against the cited sources; AI review does not establish independent factual verification. ## Overview A **cube-based storage system** organizes inventory in a compact, three-dimensional block of storage locations. In its most recognizable automated form, standardized bins are stacked in a structural grid and robots retrieve bins for delivery to workstations. The approach is one configuration within the broader family of [automated storage and retrieval systems (AS/RS)](https://doi.org/10.1016/j.ejor.2008.01.038), intended to use floor space and building height efficiently. Later reviews of robotized warehouse systems treat dense, grid-based bin storage as a distinct design family from conventional aisle-based AS/RS. Cube-based systems are used mainly for totes containing small and medium-sized goods. They can support e-commerce, retail replenishment, spare-parts distribution, and other operations with many stock-keeping units (SKUs). An operator must still plan surrounding receiving, packing, replenishment, and dispatch areas; a [warehouse layout view](https://www.skusavvy.com/warehouse-layout-preview) can help visualize those supporting flows. ## Etymology and Origins The word *cube* describes a three-dimensional solid; in warehousing, references to storage cube commonly concern the use of available volume rather than a requirement that each bin or installation be a geometric cube. The general [dictionary meaning of cube](https://www.merriam-webster.com/dictionary/cube) should therefore be distinguished from the operational use of the term. A first documented use of the generic phrase *cube-based storage system* has not been established here. The phrase is now commonly associated with dense, grid-based systems such as those described by [AutoStore](https://www.autostoresystem.com/). Related terms include *grid storage*, *bin-based AS/RS*, *robotic compact storage*, and *goods-to-person storage*. They are not exact synonyms: goods-to-person systems also include shuttle, carousel, and mobile-robot technologies that do not store bins in a cube-like grid. ## Historical Development Automated storage developed from mechanized warehousing and high-bay systems that used machines to place and retrieve loads from racks. By the late 2000s, published research already covered several AS/RS configurations for pallets, cases, and smaller items; a [2009 review by Kees Jan Roodbergen and Iris F. A. Vis](https://doi.org/10.1016/j.ejor.2008.01.038) surveyed design and control issues for those systems. Rack-based AS/RS and cube storage share the goods-to-person idea but differ in physical layout and retrieval logic. The Norwegian company [AutoStore](https://www.autostoresystem.com/) developed a grid-and-robot approach in the 1990s and brought commercial systems to market in the 2000s. In the 2010s and 2020s, growth in item-level e-commerce fulfillment increased interest in dense automated storage. Research on [robotized and automated warehouse systems](https://doi.org/10.1287/trsc.2018.0873) describes how control shifted from isolated machines toward fleets of robots coordinated with inventory and order software. Available sources do not establish a first use of the generic term, nor a single inventor of every cube-like configuration. Barcodes and computer systems support identification and movement tracking around automated equipment. For example, [barcode workflows](https://www.skusavvy.com/docs/guides/barcodes) can be used at receiving and workstation steps. Barcode use alone does not make a warehouse a cube-storage installation. ## Core Concepts A typical automated cube system contains a structural grid, vertically stacked bins, robots, ports or workstations, and control software. Robots travel on or within the structure, retrieve a requested bin, and present it at a port where a person or another machine accesses its contents. The system then returns the bin to storage. [AutoStore’s system description](https://www.autostoresystem.com/) illustrates a widely deployed top-access version of this architecture; other vendors may use different vehicles, access paths, or grid materials. Because bins are stacked, a target bin may be covered by other bins. The controller must first move obstructing bins—a process often called **digging** or reshuffling—before the target can be retrieved. Frequently requested inventory may be kept nearer an accessible position to reduce expected retrieval work. Capacity and response time therefore depend not only on bin count but also on stack depth, demand patterns, robot availability, and port capacity. These trade-offs are discussed in the [robotized-warehouse literature](https://doi.org/10.1287/trsc.2018.0873). A warehouse management system (WMS) typically maintains inventory and order records, while equipment-control software directs the automated system. The division of responsibilities depends on the implementation. Practices such as [bin put-away criteria](https://www.skusavvy.com/docs/guides/warehouse/bin-putaway-criteria) remain relevant when deciding which inventory may enter a system and how it should be handled. ## Types and Applications **Top-access grid systems** use robots above stacks to retrieve bins. They can offer dense storage but incur digging work for buried bins. Other bin-handling AS/RS designs use shuttles, lifts, or mobile robots; the [AS/RS literature](https://doi.org/10.1016/j.ejor.2008.01.038) distinguishes systems by storage configuration and retrieval mechanism. Those designs may be alternatives to cube storage rather than cube systems themselves. Cube systems are generally suited to products that fit standardized containers and can be handled safely at a port. An apparel distributor, for example, might store folded garments in bins and present several bins in sequence to a worker assembling orders. Parts distributors can use a similar process for compact components if weight, packaging, and traceability requirements are met. Related [pick-to-tote workflows](https://www.skusavvy.com/docs/guides/warehouse/pick-to-tote) describe how picked goods can be collected into order containers; they do not imply that a particular WMS controls a cube system. Large, irregular, hazardous, temperature-sensitive, or very heavy products may need separate storage unless the equipment and facility are specifically designed and approved for them. ## Capacity and Performance Two measures should be kept distinct: **storage capacity**, the number of usable bins and units held, and **throughput**, the number of bin presentations, picks, or orders completed per unit of time. Dense storage does not automatically produce high throughput. Ports, workload balance, digging, replenishment, and downstream packing can all constrain output. The [AS/RS design literature](https://doi.org/10.1016/j.ejor.2008.01.038) treats configuration and control policies as interdependent decisions. As an illustrative calculation, a grid with 1,000 stack positions and an average usable depth of 10 bins has 10,000 bin positions. If 15 percent are reserved as operational buffer, 8,500 positions remain for planned inventory. Actual usable capacity depends on equipment rules, maintenance access, bin suitability, and operating policy; it should not be inferred from floor area alone. For a separate throughput example, if a port presents 120 bins in an hour and each presentation yields an average of two order lines, it handles 240 lines per hour. This is an illustration, not an equipment rating. Actual output also depends on labor, replenishment, and the rest of the operation. Designs should be compared with the same workload and reporting definitions, consistent with the [AS/RS literature’s treatment of configuration and control](https://doi.org/10.1016/j.ejor.2008.01.038). Useful measures include bin presentations per hour, lines picked per labor hour, port utilization, average digging moves, inventory accuracy, and order cycle time. A [visual inventory management system](https://www.skusavvy.com/visual-inventory-management-system) can support visibility of inventory records, but automated-grid performance data must come from the relevant equipment and control systems. ## Implementation, Safety, and Limitations A sound project begins with measured demand: SKU dimensions and weights, order-line profiles, peak periods, replenishment volumes, and expected growth. Proposed designs should be tested against representative and peak workloads, including digging and simultaneous replenishment. The full operation, not only the grid, should be modeled, and capital, maintenance, labor, integration, and downtime costs compared with alternatives. [Warehouse layout planning](https://www.skusavvy.com/warehouse-layout-preview) helps identify space needed for adjacent processes. Before commissioning, define inventory ownership and message flows between the WMS and equipment controller, including acknowledgments, exception handling, and reconciliation after interruptions. Document how duplicate messages, partial picks, cancellations, and unavailable bins will be resolved, and test recovery before go-live. An [API](https://www.skusavvy.com/developers) is one possible integration mechanism; its availability does not establish compatibility with a particular equipment controller. [Cycle counting](https://www.skusavvy.com/docs/guides/warehouse/cycle-counting) remains important because a misplaced item or incorrect quantity can propagate through an otherwise automated process. Plan [stock replenishment](https://www.skusavvy.com/docs/guides/warehouse/stock-replenishment) alongside picking rather than assuming every port is available only for outbound work. For example, test whether an inbound surge leaves enough port time to complete the day’s orders, and establish a fallback for orders affected by an outage. Operators should address guarding, access control, maintenance, emergency response, and applicable fire and building requirements with qualified specialists and local authorities. General [OSHA warehousing guidance](https://www.osha.gov/warehousing) is a starting point for workplace hazards in the United States, but it does not replace a site-specific assessment. Assess whether OSHA’s [control of hazardous energy standard](https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.147) applies to servicing and maintenance; follow applicable local requirements elsewhere. Other limitations include dependence on specialized equipment and software, potential disruption during outages, vendor-specific spare parts, and reduced suitability for items that do not fit approved bins. ## Source links - [A survey of literature on automated storage and retrieval systems]() - [Visual Warehouse Layout]() - [Cube definition]() - [AutoStore]() - [Barcodes Guide]() - [Bin Put-Away Criteria]() - [Pick-to-Tote Guide]() - [Visual Inventory Management System]() - [Cycle Counting Guide]() - [Warehousing]() - [Developers / API]() - [Stock Replenishment Guide]() - [OSHA: The Control of Hazardous Energy]() - [Robotized and Automated Warehouse Systems: Review and Recent Developments]()