StrongPoint opens world-first frozen-zone AutoStore, cutting energy use 40%

StrongPoint switched on the first multi-temperature AutoStore with a frozen zone on 26 September 2026, and the customer is Norwegian grocer Haugaland. What makes it different from the standard cube is that the grid carries three temperature bands at the same time: minus 25 degrees Celsius for frozen, plus 2 degrees for chilled, and plus 10 degrees for ambient, all inside one automated storage system. In normal cold chain you would build a frozen room, a chilled room and a dry room as three separate boxes, each with its own refrigeration plant and its own picking labour. Here the robots run the cube and the temperature zones are handled inside the same envelope, which is the part that changes the maths for anyone running a cold warehouse, because the thing that costs you money in cold chain is almost never the robots, it is the empty cold air you pay to keep cold and the people you pay to walk in it.

Let me translate the claimed gains into something you can feel, because a vendor press release is easy to dismiss and I do not want you to. The frozen order efficiency rose 66 percent versus the separate-freezer setup, energy fell 40 percent against running a standalone freezer, and storage density climbed to as much as four times a traditional warehouse. Those three numbers sit together for a reason: when you stop building three insulated boxes and instead pack goods into a single high-density automated grid, you cut the surface area that the refrigeration has to defend, you cut the labour that walks between rooms, and you fit far more into the same footprint. For an importer or exporter of frozen and chilled food, that is the difference between a facility that bleeds electricity and temp-labour cost and one that does not, and the difference shows up every single month on the utility bill.

Begin by asking yourself where your own cold chain spends money today, because you cannot decide whether this applies to you until you know your own cost lines. Most operators I talk to lose it in two places: the energy bill on the freezer, which runs 24 hours whether you pick or not, and the labour cost of people in cold gear moving between a frozen room and a chilled room all shift. A 40 percent energy cut on the frozen side is not a rounding error, it is a fifth of your biggest fixed cost gone if your freezer is sized like the old separate model. And a 66 percent jump in frozen order efficiency means the same team clears two-thirds more orders, which directly attacks the wage line during a labour-tight market where good cold-labour is hard to hire and harder to keep.

Now let me put a number on it with the assumption stated up front, because I will not hand you a vague promise and watch you build a business case on air. Assume you run a frozen-and-chilled distribution centre of about 10,000 square metres, and assume your annual refrigeration and related energy runs around 1.2 million dollars, with frozen accounting for roughly 60 percent of that, so 720,000 dollars. Assume the AutoStore-style consolidation can deliver the claimed 40 percent energy cut on that frozen share. That is 288,000 dollars a year back, before you count the labour gain. On the labour side, assume your frozen pick team is twelve people at 45,000 dollars each, 540,000 dollars, and a 66 percent efficiency gain lets you do the same volume with about seven people, saving roughly 225,000 dollars. Again, those are illustrative assumptions, not StrongPoint's published quotes, just to show the shape, and your building will have a different size and rate, but if the percentages hold, the direction is the same and the magnitude is real.

The density story is the quiet winner for importers bringing in container volumes, and I think it is under-rated in most boardroom conversations. Up to four times the storage density means the same goods that needed a sprawling warehouse now fit in a quarter of the floor, or you hold four times the stock in the building you already have. For a frozen food importer fighting for cold dock space at a port or inland hub, that is strategic, not just tidy. You can pre-position more inbound containers as frozen inventory close to demand instead of paying for far-out cold storage or turning containers away at peak, and in a market where cold space is scarce and getting scarcer, that option alone can justify the capital.

Next, weigh this against your labour-safety exposure, because that is the part the brochure understates and the part your insurer cares about most. A frozen zone at minus 25 degrees is dangerous for humans, and one of the real gains of automating it is that you remove people from the deep cold entirely. If your operation has injury claims, turnover, or downtime from cold-labour conditions, an automated frozen grid is partly a safety investment, not only a productivity one. I would put the safety and the energy and the density on the same business case sheet, because separately they each look modest and together they justify the capital, and a safety line item is often what turns a maybe into a yes with the people who sign cheques.

After that, do not assume this is only for grocery giants, because the lesson transfers straight to importers and exporters who never think of themselves as retailers. Haugaland is a Norwegian grocer, but the temperature bands minus 25, plus 2, plus 10 are exactly the bands most food and pharma importers already pay to maintain in three separate, leaky, labour-hungry rooms. The moment your SKU mix spans frozen, chilled and ambient, the three-in-one grid stops being a curiosity and starts being the obvious design. If your mix is pure frozen, the case is weaker, but most food and pharma importers I see run all three bands and just tolerate the separate rooms out of habit, and habit is an expensive thing to keep.

And be honest about the catch before you get excited, because every shiny system has one and this is no exception. Automated grid systems like AutoStore are capital-heavy up front, they need a clean, disciplined inbound flow to keep the cube full and the bots productive, and they are not forgiving of messy pallets or erratic volume. The 40 percent energy and 66 percent efficiency gains assume a well-run operation feeding the system properly; bolt it onto a chaotic warehouse and you will halve the benefit. The other catch is throughput ceiling: a grid is brilliant at high-SKU, small-order fulfilment, less so at full-pallet bulk moves, so if your import model is mostly containers-to-distributor in whole pallets, the payback is thinner and you should model it honestly rather than hope.

Consider the retrofit-versus-new-build question early, because it changes the number more than people expect. Dropping a grid into an existing cold building means you keep the shell but re-do the internals, which is cheaper than a new build but still disruptive for a working facility. A greenfield automated cold cube can hit the density and energy numbers cleanly but carries the full capital and a longer lead time. I would run both scenarios on your own volume, because the right answer depends on whether your current lease is ending, whether your building can take the structural load, and whether your volume growth justifies the spend, and those are your facts to gather, not the vendor's to assume.

Talk to your third-party logistics provider about this now, even if you do not own a building, because the operators who run your cold storage are the ones who will either adopt this or not, and their cost structure becomes your cost structure. If your 3PL is still on three separate rooms, your rates carry their energy and labour penalty whether you see it or not. I would ask them directly what their frozen energy and labour cost per pallet is, and whether they have a consolidation or automation roadmap, because a 3PL that moves first on this will quietly undercut one that does not, and you want to be on the right side of that spread.

Set a monitoring cadence on your own cold cost so this does not become a one-quarter fascination and then nothing. I would track your frozen energy per cubic metre and your frozen labour per order every month, and watch whether they move the way the vendor promises a consolidated grid would move them. The day those lines turn ugly is the day the business case writes itself, and the teams that already measured the baseline are the ones who can prove the saving rather than assert it.

The pitfall I keep seeing is teams evaluating cold automation purely on throughput and ignoring energy and safety, and it costs them the actual prize. They look at the bot speed, nod, and miss that the 40 percent energy cut and the removed cold-labour risk are where the money and the peace of mind actually live. Another trap is piloting too small: a tiny automated corner proves nothing about the four-times density or the energy curve, so size any pilot to at least a meaningful frozen SKU cluster, or do not bother piloting at all and go straight to a scoped business case.

My honest worry is that smaller cold-chain importers will read this as a grocery-only story and dismiss it, and that would be a mistake. The temperature bands are exactly the bands most food and pharma importers already pay to maintain in three separate, leaky, labour-hungry rooms. If you run those three today, the StrongPoint launch is a blueprint for taking a fifth of your energy bill and a chunk of your cold-labour risk off the table, and I would rather you model it now than watch a competitor do it first and then undercut your prices with the saving.

A point worth making to your finance team is that the payback math on this kind of system is sensitive to your volume curve, not just your cost curve. If your frozen throughput is flat or falling, the four-times density gain still helps you shrink the building, but the energy and labour savings scale with how much you move through it. I would model two scenarios, one with steady volume and one with the volume you actually expect after the next two years, because a system sized for a volume you will not reach is a system that never pays back.

There is also a financing angle that smaller importers overlook. Because these grids are capital-heavy, vendors and equipment lessors often structure the deal as a service with a monthly fee rather than a lump purchase, which turns a scary capital number into an operating cost you can compare directly against the energy and labour you save. I would ask StrongPoint or its competitors for both a buy quote and a per-month service quote, because the service route can let you capture the 40 percent energy cut without the balance-sheet hit, and for a growing importer that trade is often the smarter one.

Do not forget the data backbone this needs. An automated grid lives or dies on clean inbound data: what the box is, where it goes, how fast it must move. If your warehouse records are messy today, bolting a grid on top just automates the mess. I would spend the next quarter cleaning your SKU and location master data before you even request a quote, because the vendors will assume clean data and you will be the one explaining why the bots are confused. Clean data is the cheapest part of this project and the most skipped.

The pharma angle deserves its own line if you move temperature-sensitive product. A single grid holding minus 25, plus 2 and plus 10 means vaccines, biologics and cold retail can share one automated footprint instead of three, and for pharma the audit trail of where each unit sat and at what temperature is the compliance win as much as the energy win. I would ask any vendor for the temperature logging per bin, because in pharma the record is the product, and an automated grid that logs by the bin is a quieter, safer audit than a human with a clipboard.

My parting thought is that the 26 September launch is a marker, not a miracle. The 40 percent and 66 percent numbers are real for a well-run operation, and they are achievable, but they are achieved by operators who planned the data, the volume and the safety together, not by ones who bought the robot and hoped. If you run cold chain today, the question is no longer whether consolidation works, it is whether you will be the one who captures it or the one whose competitor does, and the competitor who captures it first will be the one undercutting your price with the saving.

One more point on timing: do not let the lease calendar drive the technology decision in the wrong direction. If your current cold building lease has two or more years left, a full retrofit still pays because the energy and labour savings start the day the grid goes live, not the day the lease ends. I would model the retrofit against the remaining lease rather than against a hypothetical new build, because the comparison most operators make, new-build versus status quo, hides the third and usually best option, retrofit-now.

Workforce is the part nobody budgets for and everyone regrets. Automating the frozen grid removes people from minus 25 degrees, but it creates a need for bot operators, maintenance techs and data handlers who did not exist in your old cold crew. I would plan the retraining or hiring alongside the capital approval, because a grid with no one who can run it is an expensive sculpture. The 66 percent efficiency gain assumes competent operators, and competent operators are built, not bought on day one.

Resilience deserves a line too. Putting all your frozen and chilled volume into one automated cube removes the redundancy you had when three rooms could fail independently. I would keep a small manual cold buffer outside the grid for the SKUs where a grid outage would be catastrophic, because a single automated point of failure is only acceptable if you have accepted the failure mode in writing. The energy and density wins are real, but so is the concentration risk, and the two belong on the same page.

Integration with your existing warehouse system is where good plans go to die. An AutoStore does not run as an island; it needs to talk to your WMS for orders, your ERP for inventory and your labour system for shifts. I would scope the integration cost explicitly in the business case rather than assuming the vendor handles it, because the integration is usually the line that breaks the budget and the timeline. A grid that cannot see your orders is a grid that stacks boxes wrong.

My added thought is on total cost of ownership, the number that survives contact with reality. The 40 percent energy cut and 66 percent efficiency gain are operating wins, but the capital and integration are upfront hits, and the honest payback is the operating wins minus the carrying cost of the capital over the life of the system. I would run the TCO with your real discount rate and a five-year horizon, because a payback that looks glorious at zero cost of capital often looks merely fine at your actual one, and fine is still a yes if the safety case is strong.

Let me close the cold-chain thought with the simplest test I use: walk your worst-performing cold line and ask what a 40 percent energy cut and a removal of people from minus 25 degrees would do to it. If the answer is that it survives the next wage increase and the next energy bill, the case is made without a spreadsheet. The StrongPoint launch is proof the design works at grocery scale, and grocery scale is harder than most import volumes, so if they can do it, the bar for you is lower, not higher.

• Audit your own cold-chain energy and labour cost lines this month using your real numbers, owned by facilities or operations, due end of October.
• Get three automation quotations, not one, because integration cost varies widely by building, due this quarter.
• Set a payback trigger: if frozen energy plus frozen labour exceeds 1 million dollars a year, run a feasibility study by end of quarter.
• Map your SKU mix against the three temperature bands minus 25, plus 2, plus 10 to confirm you actually span frozen, chilled and ambient.
• Talk to your 3PL about their frozen energy and labour per pallet and their automation roadmap this month.
• Start demanding installation-level embedded-emissions data from every cold-chain supplier this quarter in writing, owned by procurement.