AutoStore has unveiled a collection of recent and upgraded {hardware} and software program merchandise designed to scale back guide intervention in warehouse operations and transfer its automated storage programs nearer to “lights-out” success.
The corporate’s Fall 2026 product announcement contains new know-how for dealing with totally different bin and case sizes, robotic selecting for smaller companies, AI-assisted system design and funding planning, and predictive upkeep capabilities.
AutoStore says the additions construct on its CubeVerse software program platform and AutoStore Intelligence know-how, which it launched earlier this 12 months as a part of a broader technique to extend the autonomy of success operations.
Parth Joshi, chief product officer and president at AutoStore, says: “Autonomy mustn’t require companies to take a leap of religion.
“The chance is to take away the sensible boundaries one after the other. Which means decreasing variability, guide handoffs and the operational effort required to maintain automated programs operating.
“What we hear immediately from clients can be driving us to convey extra workflows and use circumstances onto the AutoStore platform, from buffering and case dealing with to automated piece selecting.”
Among the many new merchandise is FlexBinsPort, which permits all commonplace AutoStore bin heights to be dealt with at a single workstation. AutoStore estimates that the system can enhance storage utilization by 10-15 p.c whereas rising labor effectivity. FlexBinsPort is scheduled for launch within the fourth quarter of 2026.
The corporate can be increasing AutoCase, its know-how for combining case and individual-item selecting inside an AutoStore set up. From the primary quarter of 2027, AutoCase will help circumstances measuring as much as 600 x 400 mm.
A number of AutoCase stations may even be capable to work on the identical activity group concurrently, making a steady case circulation for processes resembling palletizing and packaging. AutoCase is already in manufacturing use at Nowaste Logistics in Sweden and Komplett in Norway.
AutoStore is extending robotic piece selecting to smaller companies via Pio Pal, provided via a Robotics-as-a-Service mannequin. The corporate says the system can obtain packing throughput of as much as 540 order strains per hour for pre-picked orders.
New pre-picking capabilities can enhance efficiency by as much as thrice with out further labor, in keeping with AutoStore. Pio Pal is already working at Norwegian attire firm Famme, with additional deployments deliberate for the primary quarter of 2027.
AutoStore can be increasing its VersaAI robotic piece-picking know-how with automated merchandise induction, workstation barcode scanning and robotic cycle counting for stock validation.
On the software program facet, CubeExplore makes use of generative AI, operational benchmarks and comparable venture knowledge to mannequin potential returns on AutoStore investments. AutoStore Intelligence inside CubeStudio provides an AI-powered design assistant for evaluating warehouse system configurations earlier than deployment.
The corporate can be introducing CubeFleet, which mixes upkeep alerts, steering and work-order creation inside a fleet administration system overlaying particular person websites or a number of amenities.
CubeFleet makes use of reside knowledge from the CubeAnalytics platform and predefined upkeep thresholds to establish tools requiring consideration. AutoStore estimates that the know-how may scale back unplanned downtime by 35-45 p.c.
Joshi says: “Collectively, these steps transfer us nearer to lights-out success. It isn’t one large leap, however a collection of sensible advances that make larger autonomy more and more achievable.”
