When you’ve talked to as many MRF operators as we do, you tend to hear the same thing in slightly different words, and right now the common refrain is: commodity prices are unpredictable, buyers are more selective, and everyone is watching costs. Capital projects that felt easy to justify a year ago now get pushed another quarter, or another two.

That caution is understandable, but there is a risk within it: in a soft market, inconsistency gets more expensive long-term.

When commodity values are strong, a facility can absorb some “thrash”. A bale that is not quite as clean as it should be. A few valuable items leaking to residue. More variability between shifts than anyone likes to admit. When prices soften, those marginal losses become harder to bear.

Recent data show just how tight things have become. In the Northeast, average MRF commodity values hit five-year lows in late 2025. Nationally, key grades like OCC, mixed paper, and UBCs have remained below year-ago levels, while PET pricing has been especially brutal, with some regional contracts slipping into negative territory. But in reality, this is less about “absolute price” and more about the margin for error when it comes to operating margins.

It goes without saying that every missed opportunity for revenue hurts particularly bad in a down market. And if buyers are choosier and your bales are under a microscope, consistency matters even more. This is the part of the conversation that gets missed when operators say, “We are not investing until commodity prices come back.”

Reasonable instinct? Yes. Dangerous timing, definitely. Because waiting for the rebound can mean showing up late to it. It is the recycling equivalent of pulling your money out of the market when prices dip, then sitting on the sidelines while everyone else captures the recovery. By the time conditions feel “safe” again, the facilities that kept improving quality, tightening recovery, and building operational discipline are already ahead.

“It is the recycling equivalent of pulling your money out of the market when prices dip, then sitting on the sidelines while everyone else captures the recovery”

And the hard truth is that volatility is not some temporary glitch the industry can wish away; the National Academies recently noted that recycled commodity prices are substantially more volatile than many other commodity prices, and that this volatility makes investment riskier across the system. Their conclusion was not that operators should freeze. It was that stronger sorting and more resilient end markets are part of the answer.

So… what can you do when the market is soft? You focus on the parts of performance you can control.

For most MRFs, that starts with three things:

First, bale quality.
In a tighter market, buyers understandably get pickier. The premium on a consistent bale goes up. That is especially true on fiber lines, where quality drift can eat into value over time.

Second, residue leakage.
Losing valuable material to residue is a direct hit to the economics of the line. This is an excellent opportunity to start capturing an item-level picture of what is actually being missed.

Third, labor-dependent variability.
The more a facility depends on manual consistency under difficult conditions, the more exposed it is to call-outs, fatigue, turnover, and normal shift-to-shift variation. In a forgiving market, that may be survivable. In a tight one, less so.

So, here’s the part where we advocate for automation (we ARE a robotics and AI company, after all.) However, in the context of fluctuating commodities, we think that the case for a robot is more about operational consistency/predictability than 1:1 labor replacement. 

We’re not here to debate whether a robot can replace a human, but on behalf of robots paired with item-level AI, they CAN do something manual systems rarely can: they make quality measurable, which is a big distinction.

“Better quality” without measurement is a vague aspiration. The operators we talk to know better, and they’re asking the real questions: What is leaking to residue? Where is contamination spiking? Which line is underperforming? What changed this week that was not happening last week?

That’s why Glacier’s AI is built around exactly that kind of visibility, tracking material composition, item counts, estimated value, and operational irregularities in real time. Our customers’ results make the point clearly. In one Michigan MRF, Glacier data found 380 tons of recyclables leaking annually, with 65% of that leakage coming from PET bottles. The facility added an upstream PET sorter, recovered 15 million more PET bottles annually, and generated +$138,000 in additional annual revenue, with a 10-month payback still remaining for a Glacier robot based on the residual opportunity. In California, on a fiber QC line after an optical sorter, Glacier robots helped a customer achieve +17% paper purity, 95% uptime, and an 8-month payback.

That is, ladies and gentlemen, the entire point.

In a down market, the best investments are often the ones that reduce your exposure to the market’s volatility in the first place.

Not every facility is ready to greenlight a full robotic install tomorrow. Fair enough! But even then, the play is not to do nothing. The play is to get more visibility. Build the baseline. Understand where value is leaking. Quantify the quality problem. Make the business case with real line-level data instead of intuition. Glacier’s scanner platform is designed for exactly that first step.

Because when the market rebounds, the winners will be the ones who used the tough stretch to get tighter: Tighter on quality, recovery, and what is actually happening on the line.

Soft markets do not remove the need for operational improvement. Go sell that UBC!