How DEV Hotel Turned Missed Guest Demand into a New Revenue Stream

What happens when hotel guests want food and beverages after hours—but don't want to wait, and the hotel doesn't want to add another employee?

At DEV Hotel & Conference Centre in Cornwall, Ontario, autonomous retail is helping answer that question.

After introducing Scallix Smart Coolers, the hotel transformed an underperforming café-style operation into a 24/7 retail channel designed to capture guest demand beyond traditional food-and-beverage hours—without adding dedicated retail staff.

Turning Missed Demand into New Sales

Before introducing autonomous retail, DEV operated a café-style service offering sandwiches, cookies and other food items during limited hours.

The challenge was familiar to many hotels: keeping the operation available meant having an employee available.

According to General Manager Ian Bentley, the café could generate only modest sales while still requiring staffing and operational attention.

The smart coolers changed that equation.

In approximately three months, DEV recorded around 1,900 transactions through its autonomous retail operation, without adding dedicated staff to process those purchases.

But perhaps the clearest example of the opportunity came one morning when DEV sold $400 worth of breakfast sandwiches through the smart fridge.

Bentley says those sales would likely never have happened through the traditional operation because guests simply did not want to wait at the restaurant.

“You’re creating a better customer experience and also tapping into revenue that never would have been there otherwise.”

— Ian Bentley, General Manager, DEV Hotel & Conference Centre

The cooler wasn't simply replacing an existing checkout.

It was helping the hotel capture demand that previously went unserved.

The Profitability Equation

According to Bentley, the operation was running at approximately 40% food cost, representing roughly 60% gross margin before other operating expenses.

That is particularly relevant because DEV continues to prepare its food in-house. The hotel is not outsourcing the food operation to a vending supplier; its culinary team produces sandwiches, breakfast wraps, cookies, baked dishes and other items that are then made available through the autonomous retail environment.

The retail layer adds another sales channel without requiring an employee to stand behind a counter.

The model becomes:

Existing food production + autonomous retail + extended availability = additional sales without dedicated retail labour.

For hotels that already have kitchens, food production and staff in place, that can create a very different economic proposition.

The Hidden Cost of Vision-Based Systems

There is another operational consideration that can be overlooked when evaluating autonomous retail: manual transaction validation.

Vision-based systems rely on cameras to determine what a customer has removed. When the system cannot confidently identify the products involved in a transaction, an operator may need to review the footage and manually validate the purchase.

Consider DEV's approximately 1,900 transactions as an example.

If 20% of those transactions required manual validation, that would represent approximately 380 reviews.

If each review took 15 minutes:

380 × 15 minutes = 95 hours of labour.

Using an Ontario average hourly wage of approximately $37.72, that represents roughly $3,583 in potential labour cost.

This is an illustrative scenario—not a claim that DEV actually incurred or saved this amount. It demonstrates how quickly manual validation can create an additional operating cost at scale, before considering benefits, payroll costs or the opportunity cost of taking employees away from other responsibilities.

Scallix's weight-based identification approach is designed to identify product removal directly from the shelf, reducing the need for this type of manual intervention.

The distinction is important:

Automation shouldn't just automate payment. It should automate the transaction itself.

Convenience Can Become Revenue

For hotel guests, the value is straightforward.

They don't always arrive during restaurant hours. They may check in late, wake up early, finish a meeting after the restaurant closes or simply want something quickly without waiting for an employee.

DEV's Smart Café gives guests another option.

They can access food and beverages when they need them, while the hotel can continue capturing those purchases outside the traditional operating model.

Bentley has also noticed that guests often purchase multiple products during the same visit.

A beverage can become a sandwich. A sandwich can become a snack.

That convenience can increase not only transaction opportunities, but also the number of products purchased in a single visit.

Why DEV Is an Interesting Case Study

DEV Hotel & Conference Centre is a large hospitality and conference destination in Cornwall, Ontario, situated on approximately 75 acres along the St. Lawrence River and offering approximately 70,000 square feet of meeting space, alongside accommodation, dining and event facilities.

It is therefore a particularly relevant environment for autonomous retail.

The smart coolers do not replace the hotel's restaurant or pub.

They complement them.

They can capture demand before breakfast, after the restaurant closes, between meetings, late at night and whenever a guest wants something immediately.

And the experience has already encouraged DEV to expand its use of the technology.

Following the initial deployment of two coolers, Bentley indicated that the hotel was purchasing additional units and was interested in how autonomous retail could eventually extend into other areas of the property.

More Than a Cooler: A New Operating Model

One of the most interesting insights from DEV's experience is that the value of autonomous retail extends beyond the physical equipment.

Bentley highlighted the operational data available through the system as another major benefit.

Management can see what is selling, understand purchasing behaviour and monitor stocking activity without having to rely entirely on manual reporting.

“Everything I need is on this Shekel website. It’s a dream to me every morning.”

For a hotel operator, that visibility can make it easier to understand which products are generating demand and where opportunities exist to improve the retail offering.

A Partnership That Made It Possible

The project also began with an important industry connection.

Andrée Labée and the team at André Labée Inc. played an important role in connecting DEV with autonomous retail technology and helping move the project forward.

We appreciate Andrée's collaboration and the successful partnership that helped bring the project to life.

The Bigger Lesson for Hotels

The DEV experience demonstrates that autonomous retail is not simply about replacing a cashier or installing a smart refrigerator.

It is about identifying moments when guest demand exists, but the traditional operation is unavailable or economically impractical.

At DEV, those moments have become new transaction opportunities.

The hotel can extend access to food and beverages beyond traditional hours, capture sales that previously went elsewhere—or never happened—and do so without adding dedicated retail staffing.

At the same time, autonomous product identification can help reduce the operational burden associated with manual transaction validation that may arise in vision-based systems.

The result is a model built around three outcomes:

More convenience for guests.

More visibility for management.

And more opportunities to generate profitable revenue.

As Ian Bentley puts it:

“Don’t overthink it. Just do it.”

For DEV, autonomous retail is becoming more than a technology experiment.

It is becoming another way to turn missed guest demand into measurable business value.