The route still eats a shift
Large, repetitive floor-care routes can absorb crew time; machine throughput claims do not prove local savings.
ACCOUNT RESEARCH FOR COMMERCIAL CLEANING AUTOMATION AND EQUIPMENT SELLERS
Give repetitive floor care a machine assist—not a payroll promise
Alma Hunter delivers reviewed account and buyer-fit research for commercial cleaning automation sellers—focused on where buyer-deployed equipment may free capacity, not assumed headcount cuts.
The accounts. The business case. The next move.
- 01Route-and-floor map
- 02Operator with assisted scrubber
- 03Hours redeployed, not deleted
- 04Evidence → account report
THE PAIN / NOT ANOTHER GENERIC LIST
The gap between machine claims and usable hours
Before selling time becomes sunk time, test the obstacles.
Capacity is not cash
Freed minutes matter only if schedules, coverage, overtime, or service capacity actually change.
A robot meets the real building
Traffic, thresholds, surface mix, staffing, storage, charging, and safety can complicate deployment.
WHAT ALMA HUNTER DELIVERS
Find where hours can do more
- 01
Make repeat work visible
Compare task-specific baseline and assisted cleaning time by route, area, and shift.
- 02
Redeploy before you subtract
Count hours as capacity for other tasks or service coverage unless payroll expense demonstrably falls.
- 03
Qualify the site, not just the SKU
Review floor mix, traffic windows, operator training, charging, maintenance, and safety constraints.
ALMA HUNTER / ACCOUNT REPORT
01Business fitEvidence + unknowns
02Buyer ROIFull cost ↔ realized value
03Technical fitEvidence + unknowns
04IntentEvidence + unknowns
05TimingEvidence + unknowns
06Decision teamEvidence + unknowns
BANTBudget · Authority · Need · Timing
BUDGET UNKNOWNHOLD / VALIDATE
Illustrative qualification, not a researched account. Unknowns stay unknown.
THE KPIs / TRACK, DO NOT PROMISE
Better evidence.
Clearer sales decisions.
Metrics to monitor—not guaranteed lifts, meetings or sales.
Baseline coverage
Share of candidate sites with task-level labor minutes, area, and current tool recorded.
Trial measurement completeness
Share of trials with matched pre/post task time, quality check, downtime, and training logged.
Buyer-fit reason codes
Count of qualified accounts with validated repetition, operating-window, and safety/storage fit or a documented blocker.
THE BUYER’S RETURN FROM YOUR SOLUTION
If the numbers don’t work,
the pitch won’t fix them.
This models your buyer’s return from your solution—not your revenue from buying leads.
YOUR BUYER’S ROI / FICTIONAL INPUTS
YEAR ONE / USD / MODEL, NOT A FORECAST
-59.7%Modeled buyer ROI
- Net year-one benefit
- -$18,500
- Year-one break-even units
- 2,480
- Simple upfront payback
- 46.2 months
Below year-one break-even. Revisit the case—not the arithmetic.
Illustrative, editable assumptions—not validated results, guarantees or Alma service pricing.
Make the value real.
Illustrative buyer-side scenario only; all USD inputs are fictional, not market benchmarks: $25,000 upfront, $6,000 annual ongoing, 1,000 candidate hours/year, $25/hour, and 50% realized share. Gross benefit = hours × hourly value × realized share; year-one cost = upfront + annual ongoing, counted once; net = benefit − cost; ROI = net ÷ cost × 100. Realization is the share of capacity value actually realized, not project-success probability. Redeployed time is not payroll savings unless payroll cost actually falls.
See formulas, evidence needed and research context
Gross benefit = potential units × economic unit value × realized share.
Full year-one cost = full upfront deployment + annual operating cost. Net = benefit − full cost. Year-one ROI = net ÷ full cost × 100. Each cost is subtracted once.
Simple upfront payback = upfront cost ÷ (annual benefit − annual operating cost) × 12 months, only if annual net benefit is positive. It assumes steady annual realization, not a discounted cash-flow forecast. Year-one break-even units = full year-one cost ÷ realized unit value.
Baseline and compare task-specific time by route, area, and shift; pair time studies with consistent cleaning-quality checks and log training, downtime, and deployment conditions. ISSA notes local variables affect cleaning-time estimates and describes published times as benchmarks, not time-motion studies. Use representative samples; do not assume labor removal.
These sources explain the economic mechanism and measurement—not Alma Hunter performance:
- ISSA — How to Calculate Cleaning Times — Explains that cleaning-time estimates vary with task, tool, time, units, and training; describes ISSA times as benchmark guides rather than time-motion studies and gives task-based production-rate calculations.
- ISSA — Measuring Cleaning Performance — Describes baseline measurement, comparison, experimentation, ongoing monitoring, time studies, work sampling, cleaning-effectiveness checks, and the limitations of visual inspection.
- OSHA — Use of battery power operated cleaning equipment in hazardous locations — States that battery-powered sweeper/scrubber equipment used in a hazardous classified location must meet applicable electrical requirements and be certified for that specific location; grounds the need to screen site safety conditions.
FROM THE FOUNDER / NOT A CUSTOMER TESTIMONIAL
Built from the seller’s side.
“Finding companies was never the hard part.”
Scott Hawkyard · Founder, Alma Hunter
A buyer needs a supported business case—not another profile match.
THE NEXT MOVE
Find the buyers.
Bring the case.
Tell us what you sell and who buys it. We agree scope, price and delivery before payment. An inquiry does not start research.
Find my buyersInquiries, support or privacy: sales@almahunter.com
ALMA HUNTER / YOUR ACCOUNT REPORT
Buyer value.Evidence.Your next move.
Accounts reviewed against your brief.
Unknowns left visible.