HomeStorageAutoStore (Cubic Storage)

AutoStore (Cubic Storage)

AutoStore uses robots traveling on top of a cubic grid of stacked bins to retrieve containers from below, providing ultra-high-density automated storage with flexible scalability and minimal footprint.

AutoStore Cubic Storage System Overview

🎲

Core Components

  • Cubic Grid Structure
    Aluminum framework
  • Storage Bins
    Standardized containers
  • Autonomous Robots
    Travel on top of grid
  • Ports & Workstations
    Picking interfaces
🤖

Robot Types

  • R5 Robot
    3 bins/minute standard
  • R5 Pro
    4 bins/minute enhanced
  • R5+ Robot
    5+ bins/minute high-performance
  • Black Line
    Latest generation
🏪

Applications

  • E-commerce Fulfillment
    High-volume orders
  • Spare Parts
    Large SKU counts
  • Pharmaceutical
    Regulated storage
  • Micro-Fulfillment
    Urban locations

Key Benefits

  • 4x Storage Density
    vs. traditional shelving
  • Modular Scalability
    Add robots & bins anytime
  • 50-70% Labor Reduction
    Automated operations
  • 99.9%+ Accuracy
    Order fulfillment
💰

Investment

  • Small: $1-2M
    10K bins, 10 robots
  • Medium: $3-6M
    30K bins, 25 robots
  • Large: $10-20M
    100K+ bins, 50+ robots
  • ROI: 2-5 years
    Typical payback period
🚀

Future Trends

  • Enhanced Robots
    Faster, more efficient
  • AI Optimization
    Predictive slotting
  • Temperature Control
    Multi-temp zones
  • Sustainability
    Energy efficiency
75%
building volume utilization
650+
bins/hour per port
4.1 m/s
robot travel speed
±1mm
positioning accuracy

How AutoStore Works

Robots travel on rails forming a grid on top of the bin stack, moving at speeds of 10-13 feet per second. Each robot uses a lifting mechanism to reach down into the grid, grab bins by their handles, and lift them to the surface. When the target bin is buried beneath others, robots temporarily relocate upper bins to adjacent grid positions, then retrieve the target bin and return the relocated bins. Multiple robots work simultaneously across the grid, with traffic management algorithms preventing collisions and optimizing paths.

Ports (workstations) at the grid edges receive bins delivered by robots. Workers at ports pick items from bins for orders, then return bins to the grid for storage. Conveyor integration can automate bin transport between ports and packing stations. Control software coordinates robot movements, manages inventory locations, and integrates with warehouse management systems for automated order fulfillment.

Key Benefits

Maximum storage density of 85-90% utilization enables facilities to store 4-5x more inventory in the same footprint compared to shelving. The elimination of aisles and vertical stacking to 16+ levels maximizes every cubic foot of space. Small footprint makes AutoStore viable in expensive urban real estate or constrained facilities where expansion is impossible.

Scalability and flexibility allow systems to start with as few as 1,000 bins and grow to 100,000+ bins incrementally. Modular expansion adds bins, robots, and ports without disrupting existing operations. Relocatable design enables systems to be moved to new facilities if needed, protecting the investment.

Energy efficiency results from lightweight robots (66 pounds) consuming minimal power compared to traditional automation. Quiet operation and minimal heat generation reduce facility requirements. No special flooring or structural reinforcement needed in most facilities, lowering installation costs.

Common Applications

E-commerce fulfillment uses AutoStore for storing thousands of SKUs in small bins, with robots delivering bins to picking stations for order fulfillment. High SKU density supports diverse product assortments in minimal space. Scalable throughput grows by adding robots and ports as order volumes increase.

Spare parts distribution in automotive, industrial, and electronics sectors leverages AutoStore's density for managing thousands of slow-moving SKUs. Small parts storage in bins maximizes space efficiency. Rapid retrieval enables quick order fulfillment when parts are needed.

Pharmacy and healthcare operations use AutoStore for medication storage and order fulfillment. Controlled access and automated tracking support regulatory compliance. Compact footprint fits in constrained hospital or pharmacy spaces. FIFO rotation ensures proper product dating.

Grocery micro-fulfillment deploys AutoStore in urban stores or dark stores for online grocery fulfillment. High density enables thousands of SKUs in small footprints. Ambient and refrigerated configurations support diverse product requirements.

Implementation Considerations

Building requirements are minimal—standard ceiling heights (12-20 feet), normal floor capacity (300-500 PSF), and no special infrastructure. Modular installation allows phased deployment starting with small systems. Capital investment of $500K-5M+ depending on size, with typical payback of 3-5 years.

Bin sizing and slotting determine system efficiency. Standard bins (16x24x12 inches) hold 20-40 pounds of products. Item-to-bin assignment should optimize space utilization while maintaining accessibility. High-velocity items should be stored near the top for faster retrieval.

Throughput planning determines robot and port quantities. Each robot handles 60-100 bin deliveries per hour, while each port supports 100-200 picks per hour depending on order complexity. Simulation modeling validates design before installation.

Best Practices

Inventory slotting places fast-moving items in top layers and near ports to minimize retrieval time. ABC analysis guides placement decisions. Dynamic slotting adjusts locations based on velocity changes.

Preventive maintenance includes daily robot inspections, weekly grid cleaning, and monthly professional service. Spare robot inventory enables rapid replacement during failures. Remote monitoring identifies issues proactively.

Order batching groups picks to minimize bin retrievals. Wave picking processes orders in batches. Zone picking divides work across multiple ports to maximize throughput.

Measuring Success

Key metrics include system uptime (target 99%+), picks per hour per port (target 100-200+), robot utilization, and inventory accuracy (target 99.9%+). ROI materializes over 3-5 years through space savings, labor productivity, and operational flexibility. Space efficiency and scalability validate the investment.

By implementing AutoStore with attention to bin sizing, slotting optimization, and throughput planning, facilities achieve ultra-high-density storage with flexible scalability that adapts to changing business needs.

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