The Average Week Is Gone. Most Staffing Plans Haven't Noticed.
Sam Frentzel-Beyme
Founder & CEO

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Hawaii's tourism spending isn't stalling — it's concentrating. Visitor days are down roughly 4% this year, but the money spent by the visitors who do show up is up 17% per day. A business that staffs and stocks around “a typical week” is planning for a week that increasingly doesn't happen. The real week now arrives in shorter, more intense bursts, and the businesses caught staffed and stocked for average are losing money on both sides of the swing.
Scheduling the same crew every week regardless of what's actually coming is a waste of payroll on the slow days and a waste of sales on the busy ones. Ordering inventory off last month's average is a waste of shelf space when a slow stretch hits and a waste of the sale when a surge outruns the stock. Durable businesses don't staff and stock for the average day — they staff and stock for the specific days the data says are coming.
Pattern 1: Concentration Is Now the Norm, Not the Exception
The numbers make the shift concrete. Statewide visitor days fell roughly 4% in the first half of 2026 even as arrivals held steady, meaning the same or more visitors are simply staying for less time. Daily visitor spending jumped 17.1% to compensate — total spending actually rose 6.3% to $11.6 billion even as the days generating it shrank. That's the same or more revenue opportunity, compressed into a narrower window.
This isn't a one-month anomaly to wait out. It's the shape tourism-adjacent demand is taking for the foreseeable future, and it changes what “a normal week” even means for planning purposes. A restaurant, retailer, or tour operator that schedules staff and orders inventory against last quarter's average is building a plan for a week that no longer represents what's actually about to happen.
Pattern 2: What Guessing Wrong Costs on Both Ends
“We just schedule and order based on how last month went.”
Last month's average is exactly the number that's become least useful. If demand keeps compressing into fewer, bigger days, an average smooths away the very spikes and troughs a business needs to plan around — and guessing wrong in either direction has a real cost attached to it.
On the staffing side, a single missing employee can cost a restaurant $3,000 to $5,000 in lost sales over a quarter, and running short-staffed during a meal period costs roughly 7–8% in lost sales for that period alone. On the inventory side, overstocking costs businesses an average of 3.2% in lost revenue and stockouts cost about 4.1%, while restaurants specifically waste 4–10% of everything they purchase — a large share of it food ordered for demand that didn't arrive on schedule. Businesses with strong forecasting run at roughly 95% inventory accuracy; the ones still guessing off last month's average run closer to 65%. That 30-point gap is the difference between a concentrated surge that gets served profitably and one that gets served at a loss, or missed entirely.
Pattern 3: Planning for the Days, Not the Average
The good news is that the signals predicting these concentrated days already exist — they're just usually sitting in the wrong system to be useful. Booking trends, seasonal visitor patterns, and campaign response data all flag a concentrated period weeks before it hits, the same way a marketing platform already tracks when a promotion is about to convert or a seasonal push is about to land. The gap isn't a lack of data. It's that the data pointing to a surge and the operational plan for staffing and stocking through it usually live in two places that never talk to each other.
A connected system changes the timeline entirely: instead of finding out Tuesday that Tuesday was slammed, a business that's tracking demand signals as part of its marketing and growth platform can know three weeks out that a concentrated stretch is coming, and build the schedule and the order around it in advance rather than reacting to it after the fact.
From Insight to Action
Track the concentration, not just the average. Look at spend-per-day and visitor-day patterns rather than monthly totals — the swings are what strain staffing and inventory, and an average hides them.
Put a number on both sides of the guess. $3,000–$5,000 lost per missing staffer over a quarter on one side; 3.2–4.1% of revenue lost to over- or understocking on the other. Know which one your business is more exposed to before you build next month's plan.
Use the demand signals you already have. Booking trends, campaign response, and seasonal patterns can flag a concentrated period weeks out — long before a schedule or purchase order is usually built.
Build lead time into planning, not just staffing for the day itself. A forecast that arrives three weeks out is worth more than one that arrives the morning of.
Plan the surge and the lull together. The businesses losing money aren't only the ones short-staffed on the big days — they're also the ones still paying for a normal week that never comes.
The rush isn't unpredictable anymore. It's just arriving in a pattern most businesses are still reading a month too late to use.
Sources: DBEDT, 2026 Economic Outlook (visitor days and spending data); DBEDT, Visitor Spending and Visitor Arrivals Report; IHL Group (via Vndly), The True Cost of Bad Inventory Management; Oysterlink, Restaurant Food Waste Statistics; Retail Razor, Restaurant Labor Market 2026; Restaurant Business Online, The Understaffing of Restaurants Is Costly.


