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AutoStore stores inventory in bins stacked inside a compact grid, then uses robots running on rails above the grid to bring requested bins to fixed workstations. At a workstation, a person picks items for an order or replenishes stock; the system then returns the bin to storage. That is the goods-to-person workflow: inventory moves to the operator rather than the operator walking to the inventory.
How an AutoStore fulfilment cycle works
- Inventory is stored in bins. A grid holds bins in vertical stacks, with robot rails along its upper surface. The layout concentrates storage rather than using conventional open aisles. AutoStore describes the grid and system components in its system overview and 2025 annual report.
- An order triggers a bin request. Inventory and order data tell the control software which bin or bins are needed. AutoStore describes its controller as the command centre for managing bin traffic and the system database. Software integration connects those requests to the warehouse’s broader order process.
- A robot retrieves the bin. Robots travel over the grid to access the required bin. Since bins can be stacked, reaching one lower in a column can involve moving bins above it first. The amount and sequence of that movement depend on the bin location and system activity.
- The robot brings the bin to a port. A port is a fixed workstation where an operator can pick items into an order or replenish inventory. Depending on the installation, ports and adjacent equipment can also support tasks such as tagging, packing, or dispatch handling.
- The bin returns to storage. After the workstation task, the robot puts the bin back in the grid, and the system can handle another request. The precise sequence, batching, station arrangement, and connections to conveyors or other equipment vary by installation.
What the system is made of
| Component | Role |
|---|---|
| Grid | An aluminum framework that holds bins in vertical stacks; rails on top provide paths for robots. |
| Bins | Containers that hold inventory. AutoStore’s current overview lists bin heights of 220 mm, 330 mm, and 425 mm. Toyota Automated Logistics describes capacity of up to 30 kg per bin in its AutoStore overview. |
| Robots | Machines that travel over the grid and retrieve bins. AutoStore lists the R5, R5+, R5 Pro, and R5+ Pro models; that model list alone does not establish model-by-model throughput. |
| Ports | Fixed operator workstations for picking, replenishment, or other configured handling. |
| Controller and software | Coordinates bin traffic and the system database, while software and warehouse-management integration connect inventory requests to order execution. |
These elements work as one configured system. The port count and placement, software, surrounding material-handling equipment, and warehouse processes all affect how the installation operates.
How software and facility design shape the workflow
The robot does not decide on its own which goods to bring forward. Control software uses inventory and order information to direct retrieval, while integration with a warehouse management system (WMS) can support the wider sequence of allocating, prioritizing, grouping, and releasing orders.
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AutoStore’s TTI customer case describes a large installation with a central pick tunnel beneath the grid. Robots could travel from either side of the grid into the tunnel, a layout choice the case associates with shorter travel than reaching across the full installation. Pick ports were placed on both sides of the tunnel, while putaway ports sat at the grid perimeter.
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In that installation, bins could be subdivided to hold multiple SKUs, supporting additional order consolidation. TTI selected Swisslog to integrate AutoStore with SynQ software and its WMS. The case says SynQ controlled robot retrieval and supported order allocation, prioritization, grouping, and release. This is an example of a particular customer design, not a required layout or software package for every AutoStore site.
Other possible integrations
AutoStore describes options such as mezzanine layouts, BinLifts, conveyors, and picking technologies in its integration overview. These are examples of configurable system design, not standard features present in every installation.
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What published performance figures do—and do not—tell you
AutoStore’s 2025 annual report gives the following company-reported figures. They describe vendor-reported system performance, not a guaranteed result for every facility.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware match| Figure | Attribution and qualification |
|---|---|
| 99.7% worldwide uptime | Reported by AutoStore in its 2025 annual report. |
| 99.9% picking accuracy | Reported by AutoStore in its 2025 annual report. |
| 650 bin presentations per hour multiplied by the number of ports | AutoStore’s exact throughput formulation in its 2025 annual report; actual site output depends on the installed design and operating conditions. |
| Fourfold space reduction versus conventional storage | Reported by AutoStore in its 2025 annual report; the comparison is the company’s, not an independent universal measure. |
| 50% improvement in picking speed | Reported by TTI in AutoStore’s customer case, compared with TTI’s previous goods-to-person system. The case does not establish this as a typical or industry-wide result. |
Results at another facility will depend on its SKU and order profile, number and arrangement of ports, software, replenishment process, surrounding equipment, and operating practices. The published figures above do not establish an independent, controlled head-to-head comparison across warehouses or automation systems.
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How to assess whether an installation fits a warehouse
A useful evaluation starts with the facility’s actual work rather than a headline throughput figure. Compare the proposed design against:
- Required throughput for the facility’s real order mix, including peaks and replenishment needs.
- Storage density, usable building height, and the facility’s physical constraints.
- SKU dimensions and compatibility with the proposed bin configuration.
- Port count, placement, operator ergonomics, and the amount of work each station must handle.
- How replenishment, order consolidation, packing, and dispatch fit around bin presentation.
- WMS and other software integration, including how orders are allocated and released.
- Expansion options and the disruption involved in installation or later changes.
- Total project and lifecycle economics, based on site-specific assumptions rather than vendor-wide performance figures alone.
AutoStore’s customer case attributes this selection rationale to Hobey Strawn, TTI’s Vice President, North American Distribution: “One of the main reasons we selected AutoStore is its ability to expand and grow as you grow, and do it with next to no interruption.” It is a customer’s stated reason for choosing that installation, not a quantified guarantee about expansion at every site.
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