Cold storage automation will continue to accelerate in 2026, but the more interesting change is not simply that more cold warehouses are using robots.
The real change is in how companies evaluate automation.
For years, many cold-storage projects began with a straightforward question:
“How can we replace forklifts and reduce manual work in the cold room?”
Today, customers are asking much more difficult questions.
How many additional pallet locations can automation create without expanding the building? Can the system handle peak-season inbound and outbound volume? Does every SKU need direct access? How quickly does inventory turn over? Is FIFO mandatory? And, perhaps most importantly:
How can we get the best return from a limited automation budget?
That is why the cold storage automation trend in 2026 is unlikely to be one particular robot or one standard system architecture.
The trend is toward better matching between business requirements and automation investment.
From DELIECN cold-storage projects such as Ruideli, Xiaoren Fruit and Zhonglian Cold Chain Logistics Park, we have seen that warehouses operating at similar temperatures can still require very different solutions.
Automation Is Becoming Necessary, but Full Automation Is Not Always the First Answer
Cold storage has several characteristics that make automation increasingly attractive.
Cold-room construction is expensive. Refrigeration runs continuously. Manual work in low temperatures is difficult, while wide forklift aisles consume valuable refrigerated space.
As labor costs increase and cold-chain businesses handle larger inventory volumes, continuing to add forklifts and operators becomes harder to justify.
So yes, automation is clearly becoming part of the long-term direction of cold storage.
But this does not mean every cold warehouse should pursue the highest possible level of automation.
The better question is:
Which parts of the warehouse create enough value to justify automation first?
A company with a limited budget may achieve a better return by automating high-density pallet storage and keeping certain low-frequency processes manual.
Another warehouse with intense peak outbound demand may need to invest more heavily in retrieval capacity, lifters and front-end transportation.
Automation should follow the operating problem, not the other way around.
Storage Density Still Matters — but Only When It Improves the Economics of the Cold Room
For a cold-storage operator, every aisle has a cost.
It occupies building space.
It must be cooled.
And yet it stores no product.
This is why high-density AS/RS solutions remain one of the strongest cold storage automation trends.
Shuttle-based systems can reduce dependence on conventional forklift aisles and use more of the warehouse depth and height for actual inventory.
But the value should not be measured only by the number of pallet locations.
A better measure is:
How much refrigerated space is being used for stored product rather than access space?
In the Ruideli food cold-storage project, DELIECN applied a low-temperature pallet four-way shuttle solution in a -25°C environment.
The warehouse provides 3,484 pallet locations, with significantly higher space utilization than the previous storage approach.
The reason for choosing a four-way shuttle was not simply that it is a newer technology.
The system needed both high-density storage and greater movement flexibility within the rack structure.
The robot can move longitudinally and laterally, allowing the system to organize pallet movements across the storage area rather than limiting each shuttle to a single fixed lane.
For this project, that flexibility supported the required storage and operating model.
But it does not follow that every cold warehouse should use four-way shuttles.
Two-Way Shuttle Systems Remain Highly Relevant
One of the biggest mistakes in automation selection is assuming that a more flexible machine automatically creates a better warehouse.
It does not.
If the inventory naturally suits deep-lane storage and pallet movement follows relatively stable routes, some of the flexibility of a four-way system may never create enough business value to justify the additional investment.
This is why pallet two-way shuttle systems continue to have a strong place in cold storage automation.
Xiaoren Fruit: Deep Storage Can Be the Better Investment
DELIECN used a pallet two-way shuttle solution in the Xiaoren Fruit cold-storage project.
Fruit storage has its own operating rhythm.
Inventory may enter the warehouse in concentrated periods, and the number of pallets belonging to the same or similar SKU groups can be relatively high. Product turnover and seasonal shipping patterns also need to be considered.
Under these conditions, the planning question becomes:
Do we need maximum routing flexibility, or do we need an economical way to store pallets deeply and move them reliably?
When SKU distribution and material flow support deep-lane storage, a two-way shuttle can provide a strong balance between storage density, system complexity and investment.
This is exactly why cold-storage automation should never begin with “Which shuttle is better?”
It should begin with the inventory.
SKU Quantity Changes the Automation Logic
SKU quantity is one of the most important variables in cold-storage planning.
Imagine two warehouses with the same 10,000 pallet capacity.
Warehouse A stores 80 SKUs, with many pallets belonging to each SKU.
Warehouse B stores 4,000 SKUs, with only a few pallets of each.
They may need completely different storage architectures.
Deep-lane storage becomes easier when many pallets of the same SKU can be grouped together.
As SKU quantity increases, direct accessibility becomes more important because too much relocation can reduce efficiency.
This is why SKU analysis should include more than the total number.
Customers should understand:
- pallets per SKU;
- batch requirements;
- how frequently the SKU is retrieved;
- whether mixed batches can share a lane;
- how long each product normally remains in storage.
Without this information, comparing shuttle technologies is largely guesswork.
Peak Throughput Is More Important Than Average Throughput
Another change we see in cold-storage discussions is greater attention to peak demand.
Average throughput is relatively easy to satisfy.
Peak throughput is where the system design is tested.
Fruit, food and cold-chain distribution operations can all experience highly concentrated inbound or outbound periods.
A warehouse may operate comfortably at 50 pallets per hour for most of the day and suddenly require much higher capacity during a shipping window.
This is where customers need to look beyond robot speed.
The shuttle is only one part of the route.
A pallet may also need to pass through a lifter, conveyor, transfer position or front-end handling system.
If one of these shared resources reaches capacity, adding more Shuttle Robots does not automatically increase throughput.
So when evaluating a proposal, ask:
What is the peak system throughput, and where will the first bottleneck appear?
That is much more useful than comparing maximum travel speeds.
Cold Chain Logistics Park: Large Cold-Chain Operations Need a Different Calculation
The Zhonglian Cold Chain Logistics Park project provides another example of why system selection needs to follow the business model.
A cold-chain logistics park is not the same as a single factory warehouse.
It may need to serve different inventory owners, different storage cycles and changing inbound and outbound volumes.
DELIECN applied a pallet two-way shuttle-based solution in this project.
For this type of operation, the advantage of deep storage is not only higher density.
It can also provide a relatively clear way to organize larger pallet groups while controlling investment in the storage equipment.
But again, two-way shuttle technology only works well when lane depth, SKU grouping, turnover and FIFO/FILO requirements have been considered in advance.
This is where engineering experience matters.
Two projects may both be cold warehouses and both use the same shuttle technology, yet the storage logic behind them may still be completely different.
Cold-Storage ROI Needs to Be Calculated Differently
Initial equipment price is only one part of a cold-storage automation investment.
The long-term calculation should also include:
- additional pallet capacity created;
- refrigeration cost per stored pallet;
- labor reduction inside the cold room;
- equipment maintenance;
- throughput improvement;
- system expansion;
- inventory accuracy.
This is why the lowest-priced automation proposal is not always the lowest-cost solution.
A system that creates more effective pallet positions inside the same refrigerated building may have higher initial equipment cost but better long-term economics.
Conversely, a highly flexible system may be over-engineered if the customer has stable SKUs and simple lane-based storage.
The best ROI often comes from not buying capability the operation does not need.
FAQS
There is no single best system. The right choice depends on warehouse layout, SKU structure, pallet turnover, FIFO/FILO requirements, peak throughput, and available budget.
Four-way shuttles are better suited to projects that need higher routing flexibility and more dynamic pallet movement. Two-way shuttles can be more cost-effective for deep-lane storage with clearer SKU grouping and more stable material flows.
Automation can increase storage density, reduce forklift aisles, limit manual work inside low-temperature areas, and improve inventory accuracy. This helps lower the operating cost per stored pallet.
A system may perform well during average demand but struggle during seasonal or shipping peaks. Shuttle quantity, lifter capacity, transfer points, conveyors, and outbound interfaces all need to be sized around peak demand.
Key information includes warehouse dimensions and temperature, pallet size and weight, SKU quantity, pallets per SKU, daily and peak inbound/outbound volume, FIFO/FILO rules, inventory turnover, and future expansion plans.
Conclusion
Automation itself is clearly becoming a stronger trend in cold storage.
But the more important trend is that customers are becoming more careful about where to automate and how much to automate.
High density matters because refrigerated space is expensive.
Throughput matters because peak demand determines whether the warehouse can actually support the business.
SKU structure and FIFO determine how storage should be organized.
Inventory turnover tells us whether density or accessibility deserves more investment.
And budget determines how these priorities need to be balanced.
The best cold storage automation system is therefore not the one with the newest robot or the highest automation level.
It is the one that uses the available budget to create the best balance between storage capacity, throughput, operating cost and future flexibility.
That is the trend worth watching in 2026.
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