May 11, 2026
You Did the Power Study. Now What?
You ran the study. You sized the batteries. You made the call on chargers — maybe even moved toward lithium. The process was thorough. The recommendations were data-backed. You did exactly what you were supposed to do.
So why does something still feel off?
Maybe you added a shift since then. Maybe volume picked up faster than expected and you're not sure your charging setup kept pace. The team is pushing a conversion, and you don't have current data to evaluate whether they're right — or just motivated.
This isn't a criticism of the power study process. It's a recognition of what it is: a starting point. A well-executed power study gives you the right information to make a decision at a specific moment in time. The challenge is that your operation doesn't hold still after the report lands.
What a Power Study Is Designed to Do
A forklift fleet power study, when done well, provides a structured analysis of battery utilization, charging behavior, and equipment sizing. It translates a collection of assumptions into data-backed recommendations — and for many operations, it's the first time anyone has looked at the fleet with any rigor at all.
A well-executed study typically examines:
- Run times and idle hours on the trucks included in the study
- Amp-hour consumption patterns per battery
- Available charging windows versus actual charging behavior
- Whether existing batteries appear appropriately sized for the application
- Whether a shift to lithium-ion or opportunity charging may be justified
That's meaningful data. It provides fleet managers with a foundation for decisions and dealers with a basis for defensible recommendations. The value of a power study is real.
But understanding how a power study is typically structured also helps explain its limitations.
How Power Studies Are Usually Scoped — and What That Leaves Out
Most power studies are conducted under practical constraints. Technicians have a limited window on-site. Monitoring devices get attached to the trucks with the heaviest activity — because those are the ones driving the most visible symptoms and, often, the ones the study is being designed to address.
That's a reasonable approach for diagnosing a specific problem. But it means the study is typically:
- Focused on the highest-activity trucks in the fleet
- Scoped to a specific battery, charger, or truck — not the full asset mix
- Run over a short window (usually 2–4 weeks) that may not reflect seasonal variation or shift changes
- Structured around a specific conversion or sizing objective
The trucks that aren't running hard — the ones sitting idle for half a shift, the batteries rotating through a charging room without anyone tracking them, the chargers that haven't been touched in months — those assets rarely show up in a study. And yet they're often where the real efficiency story is.
When 70% of motive power applications use less than 50% of available battery capacity on any given day*, the underutilized half of a fleet is exactly where right-sizing decisions live. A study scoped to the busiest assets won't surface that picture.
* Based on utilization patterns observed across SCT-monitored fleets.
Why Assumptions Go Stale — Faster Than You Think
Operations aren't static. The facility running one shift during the study window may be running two by Q3. The truck count that looked right in November may be wrong by March when seasonal volume hits. The charging infrastructure that was adequate twelve months ago may be quietly struggling to keep pace with actual demand.
When conditions change, the study doesn't update itself. And most operations don't commission a new one until a problem surfaces — by which time the decisions informed by the old data have already been made.
The gap between what a study recommended and what the operation actually needs today shows up in predictable ways:
- Batteries get blamed for performance issues that are actually charging behavior problems
- Equipment gets added "just in case" because there's no current data to justify a more precise answer
- Vendor recommendations fill the vacuum — and without current operational data, they're hard to evaluate independently
- Chargers go idle, get moved, or disappear from inventory without anyone tracking it
When operations change and the data doesn't, the gap between what you think you need and what you actually need gets expensive — quietly.
The Difference Between a Snapshot and Continuous Intelligence
There's an important distinction worth naming: having data from a study and having operational intelligence are not the same thing.
Continuous fleet intelligence isn't a better version of a power study. It's a different category of visibility — one that picks up where the study ends and keeps going as your operation evolves.
Where a power study takes a structured look at selected assets during a defined window, continuous monitoring:
- Measures real demand across multiple assets simultaneously — not just the highest-activity units
- Captures usage patterns over full operational cycles, including seasonal variation and shift changes
- Evaluates both active and underutilized equipment, so the full fleet picture is visible
- Separates data collection from product recommendation — the platform has no equipment to sell
That last point matters more than it might seem. When data collection and product recommendation come from the same source, there's an inherent tension between what the data shows and what the recommender is positioned to offer. Continuous, independent monitoring removes that tension. The data tells you what's happening. What you do with it is your decision.
What Continuous Visibility Actually Reveals
Think of it as a permanent power study — one that doesn't end when the technician drives away.
Across batteries, chargers, and trucks, on an ongoing basis, operational intelligence answers questions that a point-in-time study can't:
- Are your batteries appropriately sized — right now, given how your operation has changed?
- Which chargers are idle, underused, or — in some cases — missing entirely from your active inventory?
- Which trucks carry the real workload, and which are effectively sitting out?
- Is charging happening during peak demand windows — adding to your energy bill in ways that aren't immediately visible?
- Before committing to a lithium conversion or fleet expansion, does your actual operational data support it?
These aren't questions that a two-to-four-week snapshot, scoped to the busiest assets in the fleet, can reliably answer. They require visibility across the full motive power ecosystem — batteries, chargers, and trucks — on a continuous basis.
The Mixed-Fleet Visibility Gap
One more structural reality worth understanding: most fleet monitoring tools — whether from a truck manufacturer, a battery supplier, or a charger brand — are designed around their own equipment. That's not a criticism of any particular approach. It's simply how purpose-built tools work: they see what their devices can see.
For operations running a single brand of equipment across every asset class, that's often sufficient. But most real-world facilities didn't standardize that way. They run equipment from multiple truck manufacturers, batteries from different suppliers, and chargers installed over years from various sources. That's not an unusual fleet — it's a typical one.
When visibility is bounded by a single brand or product line, the fleet intelligence you get reflects a slice of the operation. Decisions made on that slice — particularly right-sizing and conversion decisions — carry risk that grows the more mixed your fleet is.
Independent, brand-agnostic monitoring means the same visibility standard applies to every asset in the fleet, regardless of who made it.
Your fleet didn't standardize on one brand. Your visibility shouldn't have to either.
Side-by-Side: Power Study vs. Continuous Intelligence
The goal isn't to choose between a power study and continuous monitoring. They serve different purposes. Understanding what each does well helps clarify where each belongs in your fleet management approach.
Traditional Power Study | SCT Continuous Intelligence | |
Scope of assets monitored | Highest-activity trucks, selected units | Full fleet — active and underutilized |
Duration of data collection | 2–4 weeks (snapshot) | Ongoing — across full operational cycles |
Battery + charger + truck together | Typically siloed by study objective | Unified view across all three |
Works across mixed equipment | Depends on study provider's devices | Brand-agnostic, any OEM, any chemistry |
Connectivity requirement | On-site technician or Wi-Fi dependent | Cellular — no Wi-Fi infrastructure needed |
Data separated from recommendation | Study provider often has product to sell | SCT has no equipment to recommend |
Ongoing visibility after study | Report delivered, visibility ends | Continuous — updates as operations change |
|
Practical Questions to Ask After Your Study
If you've done a power study — or are considering one — these questions can help frame what continuous monitoring adds to the picture:
- Has anything changed in your operation since the study was conducted — shift schedules, volume, site configuration?
- Were the assets included in the study representative of your full fleet, or focused on the highest-activity equipment?
- Are you currently making equipment decisions with data that's more than 12 months old?
- Do you know which of your trucks are carrying the load and which are underutilized most of the year?
- Is charging behavior — specifically, when charging happens relative to your utility rate structure — currently visible to your team?
None of these questions requires a new power study to answer. They require continuous visibility — the kind that keeps updating as your operation evolves, not the kind that captures a moment and moves on.
The Bottom Line
Power studies serve a real purpose. If you haven't done one — or if your last one is more than a year old — it remains a reasonable starting point for understanding where your fleet stands at a given moment.
But the built-in limitation of any study is that it captures a moment, and your operation doesn't stay in that moment. Operations grow. Shift patterns shift. Equipment gets added or moved. And the gap between what the study told you and what your fleet actually needs today keeps widening, quietly, until a decision forces it into the open.
Continuous operational intelligence is how that gap stays closed. Not with a better study, but with visibility that keeps pace with your operation — across every battery, charger, and truck in the fleet — and translates what it sees into decisions you can act on now.
The study was the right first move. Knowing what's happening right now is the next one.
See What Your Fleet Looks Like Today
SCT's Fleet Visibility Review gives you a current-state picture of your batteries, chargers, and trucks — built on continuous data, not a snapshot from last year.
About Us
SCT provides cost-effective telematics and remote power management solutions that optimize motive power fleet and self-service machine efficiency and reduce downtime with essential insights.
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