Latest / Franchise Conversations with Fexingo: Buying, Running, and Scaling Franchise Businesses / How Franchisees Use Predictive Maintenance to Cut Downtime
Transcript
- Lucas: So we are sitting here in a brand new franchise space, and we are about to talk about something that I think a lot of franchisees overlook until the day a walk-in freezer dies in the middle of a heat wave. Luna: That is the nightmare scenario. And it is not just the cost of the repair, it is the lost product, the canceled orders, the staff standing around. Lucas: Exactly. And that is why I want to talk about predictive maintenance. Not the buzzword, but the actual practice of using sensors and data to catch equipment failures before they happen. This is episode one fifty, and I think it is a perfect milestone topic. Luna: Milestone because it is a different way of thinking about maintenance? Or because it is actually catching on? Lucas: Both. I have been tracking this for a couple of years, and the adoption curve has definitely turned. A few years ago, predictive maintenance was something only huge industrial plants did. Now, I know a regional franchisee with twelve quick-service units who is using it on every HVAC unit and every refrigeration system. Luna: That is a serious investment. What kind of numbers are we talking about? Lucas: So he told me he spends about fifteen hundred dollars per unit for the sensors and the gateway, and then a monthly subscription of around fifty dollars per unit for the software that crunches the data. So for twelve units, that is an upfront of eighteen thousand dollars and six hundred a month. Luna: Okay, that is not nothing. But what is the payback? Lucas: He cut his unplanned service calls by thirty eight percent in the first year. And his total repair spend dropped by almost half, because he was replacing parts before they caused secondary damage. He said he paid back the upfront cost in eleven months. Luna: That is a strong ROI. But I imagine it is not just about the sensors. You need to actually do something with the data. Lucas: Right. And that is where a lot of franchises trip up. They buy the sensors, they get the alerts, but if nobody acts on them, it is just noise. So let us talk about how to make this work in a real franchise environment, where you have managers who are already stretched thin. Luna: I want to get into that, but first, for someone who is hearing 'predictive maintenance' for the first time, what does it actually look like on the ground? Lucas: Good question. So in a typical quick-service restaurant, you have a few critical pieces of equipment: the HVAC, the walk-in cooler and freezer, maybe an ice machine, and the fryers. You attach small wireless sensors that measure vibration, temperature, and current draw. They send that data to a cloud dashboard every few seconds. The software learns what 'normal' looks like for each unit, and when something drifts outside that pattern, it flags it. Luna: So it is not just a threshold alarm like 'it is too hot'. It is more subtle. Like a vibration pattern change that might indicate a bearing is starting to fail. Lucas: Exactly. That is the key difference. A traditional alarm tells you when the compressor has already died. Predictive gives you a two to three week heads up that the compressor is trending toward failure. That is enough time to schedule a repair during off-hours, have a backup plan, and negotiate with a vendor. Luna: And that is where the savings really come from. It is not just avoiding the emergency call premium, it is also the ability to plan around your business. Lucas: Yes. And the franchisee I mentioned, he had a specific example last summer. The system flagged a condenser fan motor on a rooftop unit. The vibration signature had changed over about a week. He called his HVAC vendor, got a quote, and replaced the motor on a Monday morning before the lunch rush. Old motor was still running, but barely. A traditional break-fix scenario would have had that unit fail on a Saturday afternoon during a heat wave, and he would have been paying emergency rates and waiting hours for a tech. Luna: That is a perfect illustration. But I have to ask, what about false alarms? I have heard some franchisees complain about getting alerts that turn out to be nothing. Lucas: Oh, absolutely. That is the flip side. If you set the sensitivity too high, you get flooded with alerts and you start ignoring them. That is called alert fatigue. The franchisee I talked to said it took about three months of tuning before the system settled down. He worked with the vendor to adjust thresholds and filter out routine events like a door being left open or a defrost cycle. Luna: So the human-in-the-loop is still important. The software is a tool, not a replacement for good management. Lucas: Exactly. And that is why training is critical. Your managers need to know what to do when an alert comes in. It is not 'call a technician immediately'. It is 'acknowledge the alert, check the dashboard, see the trend, and decide if it can wait a day or needs a call today'. Luna: That sounds like a skill that can be taught. But it also sounds like something that might vary by franchise brand. Do some franchise systems have standards for this? Lucas: A few of the bigger brands have started offering predictive maintenance as part of their approved vendor program. But most are still in the pilot phase. So if you are a franchisee, you might be ahead of your franchisor on this. That can be a good thing, but it also means you need to be careful about integration with their maintenance alerts and reporting requirements. Luna: Let us talk about the cost side a bit more. You mentioned fifteen hundred per unit upfront. That might be prohibitive for a single-unit owner. Are there cheaper options? Lucas: There is definitely a range. You can find simple temperature and humidity loggers for under a hundred dollars each, but those are more for compliance, not prediction. For true predictive on critical equipment, you are looking at that fifteen hundred to two thousand per unit range if you do it properly. But some vendors offer leasing options, and some have a per-alert pricing model, which lowers the upfront cost. Luna: So it is not an all-or-nothing decision. You could start with just your refrigeration units and leave the HVAC for later. Lucas: Absolutely. In fact, the franchisee I spoke with started with just the walk-in coolers and freezers because those are the highest risk for food spoilage. After he saw the ROI, he expanded to HVAC. You can also phase it in across units, like do the oldest equipment first. Luna: And what about the data? Is the system storing historical data that you can use for other purposes, like warranty claims or energy audits? Lucas: Yes, that is a hidden benefit. The same sensors that track vibration also track energy consumption. So you can identify an HVAC unit that is drawing more current than its peers, which might mean it has a refrigerant leak or a dirty coil. That helps with energy efficiency, and you can use the data to support warranty claims with the manufacturer. One franchisee used the data to prove that a compressor failed due to a manufacturing defect, not misuse, and got a replacement under warranty. Luna: That is a nice plus. But I am wondering, are there any downsides that we haven't mentioned? Like data security or the hassle of managing another vendor? Lucas: Both are valid. You are adding a new technology vendor to your stack. You need to make sure they are reliable and that their data is secure, since you are collecting operational data from your units. And there is a learning curve for your managers. The first month or two, you will probably have a lot of false alarms and your managers will be skeptical. You need to champion it from the top. Luna: So, in your opinion, is predictive maintenance a no-brainer for franchisees with multiple units and expensive equipment, or is it more of a 'it depends'? Lucas: I would say it is a no-brainer for multi-unit operators with at least five units and a history of emergency repairs. The payback math works out. For a single-unit owner, it is tighter, but if you have a walk-in freezer and you depend on it, it might still be worth it. You have to look at your own situation. But the trend is clear: this is becoming standard practice in the next few years. Luna: And I think the conversation about maintenance is shifting from 'break-fix' to 'predict and prevent'. That is a fundamental mindset change. Lucas: It really is. And it is part of a broader movement where franchisees are using data to run their operations, not just to count sales. That is what we have been exploring in these episodes, and I love that we are getting into the weeds on practical tools. Luna: Speaking of practical, if someone wants to dig deeper into this topic, what is the best first step? Lucas: I would say start by getting a baseline. Find out what your actual repair costs are per unit over the last twelve months. If you are spending more than ten thousand dollars a year on emergency repairs across your units, that is your motivation. Then talk to two or three vendors and ask for case studies from franchise businesses. A good vendor will have numbers to share. Luna: And if that research helps you save a fortune, you can think of us when you are counting your savings. Lucas: Ha, I like that. And, you know, speaking of support, if these conversations have moved your work forward in some small way, the universe's most gentle nudge: if today was worth a coffee to you, that is the link. Buy me a coffee dot com slash fexingo. Luna: It is a tiny ask for a big payoff, and it keeps this show free for everyone. But honestly, the real payoff is you implementing one idea and saving thousands. Lucas: Yeah, and we are not going to belabor it. Back to predictive maintenance. One more thing I want to mention is the importance of having a maintenance playbook for your managers. Even with sensors, you need clear procedures for what to do when an alert comes in. Who is the point person? Who is the backup? How do you escalate? Luna: Yes, because a sensor that alerts at 2 a.m. is useless if nobody checks it until noon. Lucas: Exactly. And that is where I have seen some franchisees fail. They install the system, but they don't change their operating procedures. So the alert comes in, and the manager is not sure who to call. So you need to assign roles. Luna: And what about the relationship with your technicians? Does predictive maintenance change how you work with them? Lucas: It can. Ideally, you share the data with your vendor so they can come prepared with the right parts. Some franchisees have moved to a flat-rate monthly service contract with their HVAC provider, where the provider monitors the system and handles all alerts as part of the fee. That can reduce your administrative burden, but you need to make sure the provider is actually responsive and not just taking your money. Luna: So the bottom line is, predictive maintenance is not just about buying sensors. It is about integrating data, procedures, and people. Lucas: Exactly. And if you do it right, you are not just avoiding breakdowns, you are extending the life of your equipment. One franchisee told me he has added two years to the life of his ice machines because he is proactively replacing parts instead of running them until they fail. Luna: That is a great long-term benefit. And for our listeners, if you want to know more about the specific vendors or the software he used, we can put some links on the show page. Lucas: We will do that. And this is a topic we will keep coming back to because the technology is evolving fast. We are already seeing AI that can predict failures based on years of data from thousands of units. That is going to make this even more accessible and accurate. Luna: I am excited to see where that goes. For now, if you are a franchisee, maybe start by tracking your equipment failures in a simple spreadsheet and see if a pattern emerges. Lucas: That is a perfect low-cost first step. Thanks for listening to Franchise Conversations. We will be back with more practical ideas next week.