The Silent Revenue Leak: The Orders Guests Never Place

A guest can be ready to spend and still disappear from the sales data

A glass is empty. The guest would like another drink. They look for a server, wait, try eye contact and eventually decide it is no longer worth the effort. No complaint is recorded. No item is voided. The POS shows one drink sold and gives no indication that a second buying moment ever existed.

This is the silent revenue leak: demand can disappear before an order is created.

Waiting changes behaviour

A 2018 study published in the Journal of Operations Management examined restaurant waiting and customer behaviour. The research linked longer waits with customers abandoning the queue, returning less quickly and spending less time dining. In the study's simulation, removing waiting produced nearly 15% more revenue than the observed restaurant situation.

That figure is not a promise that any individual venue can increase revenue by 15%. It is evidence that accumulated waiting can have a meaningful commercial effect and that some lost demand never appears as an obvious service error.

The second-drink problem

Additional drinks, desserts and sides are time-sensitive purchases. A guest who wants another round now may not want it ten minutes later. The decision already exists; what they need is access to service at the right moment.

An illustrative example shows how small missed moments can compound. If a venue misses twenty €6 repeat-drink opportunities in a day, that is €120 of potential revenue. Repeated over a 30-day month, the arithmetic is €3,600; across a year, €43,800. This is only an example, not a forecast or research finding, but it makes the hidden nature of the problem easier to see.

What does a reported 23% increase in order volume tell us?

A separate 2026 case study from IRIS reported that Glasgow Marriott Hotel achieved a 23% increase in room-service order volume and a 24% increase in room-service revenue after implementing IRIS Mobile Ordering and a Digital Guest Directory. Eighty percent of room-service orders were reported as being placed through the platform.

This was a hotel mobile-ordering implementation, not an InstaServe deployment, and the result should not be transferred directly to restaurants, casinos or other venues. What it demonstrates is a broader operational point: reducing friction between “I want something” and “the service team knows I want it” can unlock demand that a harder-to-access service channel may suppress.

InstaServe attacks a different part of the same friction

InstaServe does not ask guests to place the food or drink order themselves. It gives them a direct physical way to tell the team that service is needed. With one press, they can request service, ask for the bill or send an urgent request. Staff see the linked table or zone and the request type.

That matters because the buying moment stays human: the employee still approaches, recommends, sells and serves. The technology simply makes the request visible before the guest gives up trying to be noticed.

The bill can leak value too

Revenue is not only affected while guests are deciding whether to order. Once a table is ready to leave, waiting for the bill creates a different cost: frustration, staff interruption and slower table availability. A guest waving for the bill is not automatically visible in a POS queue. A structured bill request is.

Attentiveness also shapes the next visit

A 2020 study using an e-mystery guest approach found that employee reliability and attentiveness had direct effects on revisit intention. A guest can like the food and still remember that they spent too much of the evening trying to find someone.

Measure the service moments that sales data cannot explain

InstaServe records real request activity, including waiting time, response patterns, request volume and recurring pressure points. Managers can see what is happening during the shift and receive live operational recommendations instead of discovering service issues only through a review or end-of-day conversation.

The objective is not to claim that a button creates a guaranteed percentage increase in sales. The objective is to make previously invisible service demand visible, so the venue has a better chance to serve the guest while the buying moment still exists.

Turn the revenue question into a service audit

Instead of asking “how much could we gain?” first, audit where guests currently have to work to access service. Watch second-drink moments, dessert decisions, bill requests and tables that sit outside the main sightline. Then compare those observations with request data once the service channel is structured.

The strongest commercial improvement is the one the venue can verify in its own operation. Use external research to understand the mechanism, but use local waiting, request and sales data to decide what actually changed.