Vending

The location isn't the product. The workforce is

Photo: Adobe Stock

June 12, 2026 by Vivian Chan — Owner, Lumi Vending

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Most vending operators evaluate a location the same way a real estate agent evaluates a building: square footage, foot traffic count and lease terms. I used to think that way too. Then I walked into a Queens logistics facility and realized I had been asking the wrong question entirely.

The right question is not how many people pass through a space. It is who those people are, when they are there, and what their day actually looks like. The location is just the address. The workforce is the product.

Three groups. One building. Three completely different needs.

At the logistics facility I was scoping, the headcount looked straightforward on paper: roughly 145 people using the space daily. That number is almost meaningless without context.

Dig one layer deeper and you find three distinct populations sharing the same breakroom. The dock crew runs early shifts starting before most of the city is awake. They are doing physical work, they eat hearty and their break window is short. They want something fast, filling and familiar. The office staff arrives later, works standard hours and tends toward lighter options: yogurt, a sandwich and a decent cup of coffee at 9 a.m. Then there are the drivers, whose schedules are genuinely unpredictable. They come and go across all hours. They may have skipped a meal. They want grab-and-go reliability whenever they show up, not just during a scheduled break window.

One building. Three different need profiles. A single planogram built around average preferences serves all three of them poorly.

Foot traffic is a lagging indicator

The industry has long used daily headcount as a proxy for vending potential. It is a reasonable starting point and a completely insufficient stopping point.

Foot traffic tells you the ceiling. It does not tell you when people are hungry, what they can afford, how long their break is or whether there is a bodega two blocks away that has already captured half their spend. I have seen high-headcount locations underperform badly because the workforce had easy access to outside food options or because break schedules were so staggered that the machine never saw a real surge. I have seen smaller locations outperform projections because the workforce was captive, the hours were long, and the options were limited.

Workforce composition is a leading indicator. It tells you what the demand will look like before a single transaction happens.

The variables that actually matter

When I assess a new location now, I am trying to build a rough workforce profile before I talk equipment or product mix. The questions that matter most are not on any standard site survey form I have seen:

What are the actual shift windows? A 24-hour operation creates completely different demand curves than a 9-to-5 office. If the overnight crew has no food access options, that is a real service gap, not just a vending opportunity.

What does the physical work look like? A warehouse crew doing heavy lifting has different caloric needs mid-shift than a call center team sitting at desks. Calorie density, portion size and format (something you can eat in three minutes versus something you sit down with) all vary based on job type.

What is the income range of the workforce? Price sensitivity is real. If you place a machine stocked with $4 premium bars into a facility where the warehouse crew earns $20 to $23 an hour, you will see it. Pricing benchmarked to what the workforce already pays for food in their neighborhood is a more reliable strategy than pricing benchmarked to a national average.

What cultural or dietary patterns are present? In a diverse metro area like New York, this question has teeth. A facility with a significant South Asian workforce has different snack expectations than one that skews toward Latin American or Caribbean workers. Getting this wrong is not just a missed sales opportunity. It signals that you did not pay attention.

What changes when you think this way

The practical shift is that product selection becomes location-specific rather than operator-convenient. It is easier to run a standardized planogram across a portfolio. It is more profitable, over time, to treat each workforce as its own micro-market.

At the logistics facility, that meant a split strategy: high-protein and filling options weighted toward early morning, lighter and beverage-forward selection for the office hours and consistent overnight availability for drivers on irregular schedules. The coffee setup had to be capable of serving a genuine espresso to an office worker and a fast, no-fuss drip to a dock hand with four minutes before his next task. Those are not the same machine or the same experience.

None of this requires sophisticated technology. It requires sitting with a facilities manager or an operations lead for thirty minutes and asking questions that most vending operators never ask. What time does your first shift start? Where do your people eat lunch? What is missing that they complain about?

The takeaway

Location analysis in vending has historically been a numbers exercise. Headcount in, revenue estimate out. That model works well enough in simple environments. It fails in complex ones.

The operators who will do well in the next decade are the ones who learn to read a workforce the way a good neighborhood restaurant reads its regulars. Not just how many people walk in the door, but who they are, what they need and when they need it. The address is just where you park the machine. The workforce is what you are actually serving.

About Vivian Chan

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