When it comes to demand planning, AI does not have to reach the contractor directly to change their business. What could the future hold?
AI-driven demand planning is increasingly moving beyond the factory floor and into the broader HVAC supply chain. The challenge is particularly relevant to HVAC, where seasonal demand, weather, long lead times, and shifting market conditions make it difficult to determine how much equipment and inventory to have — and where to have it. But AI does not necessarily have to reach the contractor directly to change the contractor’s business.
Demand forecasting has emerged as a major challenge among HVACR distribution professionals, even cited in a study presented at HARDI in early 2026. Distributors described the competing problems of missed sales and warehouses filled with inventory that does not move.
Carrier, for example, has expanded its use of AI-powered demand, inventory and replenishment planning across its global HVAC and refrigeration parts operations, with the goal of addressing regional differences in demand, excess inventory, and fragmented visibility.
If manufacturers and distributors can better anticipate regional demand and manage inventory, contractors could experience the benefits through more predictable availability, shorter or more reliable lead times, fewer emergency purchases, and potentially greater pricing stability. So what does that shift look like from the contractor’s side of the supply chain?

SUPPLY CRUNCH: Tersh Blissett, founder of Trade Automation Pros, co-founder of PhoneTAP and host of Service Business Mastery and Wrenches & Robots, outlines how AI and demand planning could best impact contractors’ ability to serve their local customers. (Courtesy of Tersh Blissett)
Tersh Blissett, founder of Trade Automation Pros, co-founder of PhoneTAP, and host of podcasts Service Business Mastery and Wrenches n Robots, offers a contractor's perspective on where AI is making an impact — and where the industry still has work to do. Blissett runs a contracting company while also developing AI tools for contractors.
Q: How widely is AI being used in HVAC demand planning today?
Blissett: On the contractor side, where I live, less than the headlines suggest. Most shops I talk to are not running anything you’d call AI for purchasing. They’re running on a good purchasing manager’s gut and last year’s numbers. I can’t speak to how far along the manufacturers and distributors are internally, but from where I sit, the gap between the big players and the average 10-truck shop is wide.
Q: How are these tools changing inventory and seasonal ordering for distributors?
Blissett: I can speak to the contractor’s side of that same problem, because it's the same problem one rung down the chain. A contractor is basically running a mini distribution operation: parts on the trucks, parts in the warehouse, parts on the job. The tools built for us are getting smart fast. Ply is the one I’d point you to as an example. It tracks live inventory across every truck and warehouse, sends usage-based reorder alerts, and even compares vendor pricing so you're not overpaying when you restock. They had a customer find over a million dollars in excess inventory just by getting visibility they didn’t have before. That’s the kind of thing that used to take a sharp ops person with a clipboard, and now software catches it.
Q: Can you share an example where forecasting prevented a shortage or missed opportunity?
Blissett: I'll be straight with you: I don't have a clean “AI saved the day” story on the supply side, and I’d rather not invent one. What I can tell you is the flip side. During the supply crunch a few years back, the shops that survived best were the ones who saw it coming and pre-bought, basically doing forecasting in their heads. That’s exactly the kind of judgment call this technology is supposed to make faster. So the opportunity is real, I’ve just seen it solved by experienced humans more than by software so far. The closest thing I’ve seen to a software win is the excess-inventory story I mentioned, catching money tied up in deadstock before it becomes a problem.
Q: How could better forecasting and visibility help contractors specifically?
Blissett: This is the one I care most about. Three things change for me if the supply chain gets smarter: lead times get predictable, so I can promise a customer an install date and actually hit it. Pricing gets less jumpy, because panic buying drives prices up and that cost lands on my customer. And availability means I’m not losing a job because the homeowner doesn't want to wait two weeks for equipment. Better visibility upstream is money and trust downstream, directly in my pocket and my customer's experience.
Q: What is slowing adoption of AI forecasting tools?
Blissett: For contractors, a few things I see every day. One, trust — a purchasing manager who’s been right for 20 years isn’t going to hand the keys to a black box overnight. Two, the tools are often built for the enterprise, not for a smaller shop, so they're either too expensive or too complicated. Three, the data inside most contractors’ systems is messy, and AI on messy data just gives you confident, wrong answers. The shops aren’t dumb for waiting; they’re being practical.
Q: Do you see AI demand planning becoming essential across the supply chain?.
Blissett: What I’ll say about contractors is this: The contractor won’t be the one running the AI, but they’ll absolutely benefit from the distributors and manufacturers who do. It’ll feel essential to us because the supply chain around us got smarter, even if we never touch the software ourselves.
Q: How could this change relationships between manufacturers, distributors, and contractors?
Blissett: My hope is it makes the whole chain less adversarial. Right now, there's a lot of “hope the part’s in stock” guessing. If forecasting gets genuinely good upstream, I can plan my jobs with confidence instead of crossing my fingers at the counter. The risk is the opposite: If only the big players get the smart tools, the small contractor gets squeezed further. Which way it goes depends on whether this trickles down or stays locked at the top. That’s the part I’m watching as a contractor.
Looking for quick answers on air conditioning, heating and refrigeration topics? Try Ask ACHR NEWS, our new smart AI search tool. Ask ACHR NEWS
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Q&A: How AI is Affecting Commercial HVAC Systems | 0 | 9.68 | 07-10-2026 |
| 2 | Can HVAC Train Enough Technicians for the Data Center Boom? | 0 | 7 | 08-07-2026 |
| 3 | Will airmen trust AI? The Air Force’s future plans depend on it | 0 | 8.52 | 20-09-2026 |
| 4 | Is AI Taking Over? | 0 | 7.66 | 19-06-2026 |
| 5 | Will AI Investments Pay Off? | 0 | 7.74 | 14-04-2026 |
| 6 | Bipartisan Housing Bill and the HVAC Industry | 0 | 5 | 07-07-2026 |
| 7 | Strategies for Adjusting Pricing in Today’s HVAC Market | 0 | 6.01 | 27-07-2026 |
| 8 | Beyond automation: Why logistics firms are betting on agentic AI | 0 | 7.35 | 19-05-2026 |
| 9 | Who needs consultants in the age of AI? | 0 | 9.18 | 06-08-2026 |
| 10 | AI without the hype: What AML transformation means | 0 | 9.07 | 06-10-2026 |