A well-informed business location strategy will ensure the best and most profitable position for each kiosk, allowing you to confidently grow your business.
Anyone who owns a kiosk network understands how critical it is to place these valuable assets in locations that will yield the highest return. But how do you know where the “best locations” are going to be? It is not as simple as selecting high traffic places since if that traffic does not correspond to your target demographic, you will just have a large number of individuals strolling past your machine.
Creating a feasible location universe tailored to your kiosk type is crucial to increasing income per kiosk and getting a faster return on investment. It makes no difference if you are just getting started or if you already have best kiosk software in place. This effort will ensure that your network is as productive as possible.
So, where do you begin? You begin with what you know and have.
You have actual performance statistics and an operational infrastructure if you already have kiosks in the market. Organize the following details:
· Which kiosks are the best and worst performers? What do those places have in common – channel placement, store size, regional demography, and in-store placement?
· Did certain kiosks take longer to get up and running? Why?
· Are there any unprofitable kiosks? Why?
· Which revenue sharing option for retail space owners is optimizing your profits if you have more than one?
· Where are your resupply depots/warehouses located?
· Where do you keep your operations workers (even if this service is outsourced)?
· How widely apart should your kiosks be to provide good operating density while avoiding cannibalization?
This information will help you get started. You have a good sense of what works and what doesn’t. You also have an operational geography to work with.
Patients can electronically check-in for their appointments by using a gadget called a patient check-in kiosk in the waiting room. Patient check-in kiosks commonly contain touchscreen screens, despite the fact that some models use a keyboard, mouse, and monitor while concealing the computer. Touchscreen devices frequently come with a desktop or floor stand to keep the device stationary and at a height that is comfortable for most patients.
But what if you haven’t yet put any kiosks? In this case, begin by answering the following questions:
· What kind of goods or service do you sell?
· Who is your demographic and psychographic target audience?
· Where do they reside and where do they shop?
· Where is there a high demand for your product or service? And why is this so?
· Which segment of your target audience is likely to be interested in acquiring your product or service through a physical kiosk?
· Which channels/location kinds are most appropriate for your company?
· How frequently will your kiosks need to be serviced/restocked? Who will be in charge of the task?
Next, you’ll need to add more data to assist you narrow down all of the available kiosk placement alternatives. There are a couple of options.
The first alternative is to conduct the labor of gathering the data sources yourself. Because specific features influence a location’s potential, select or hypothesis which attributes will assure the success of your kiosk, and then concentrate on the data sources for these attributes. After gathering information from data vendors, rank the data sources based on availability and budget/cost.
Here are some samples of the data kinds available to you:
· Address, square footage, annual sales, traffic, and store hours per channel.
· Demographics by zip code — how is your target audience distributed?
· Indexes of regional categories.
· Internal information. For example, if your product or service is accessible online or on store shelves, you can find the most popular geographies and feed that information into the model.
To begin, keep it basic – too much information leads to confusion. Consider all conceivable locations as filling the top of a funnel; your data selections will act as filters in that funnel, assisting you in discovering the areas with the most promise. If you use too many filters, your location possibilities will be too limited; if you use too few filters, your location options will be overpowering.
Kiosk machines are undeniably game changers. These self-service check-in machines have improved the restaurant landscape. However, these check-in kiosk machines are increasingly assisting the medical industry. The technological revolution brought about by these machines has allowed patients to check in themselves without having to engage with a staff at the front desk. Furthermore, most healthcare kiosks allow users to do basic diagnostic tests without the assistance of a professional. The use of check-in kiosk healthcare has reduced administrative responsibilities for workers. Health care kiosks are now used in hospitals and other health facilities to promote patient convenience. The healthcare check-in kiosk also streamlines and simplifies administrative processes.
Data integration and aggregation
Once you have access to the data, you must integrate and aggregate it in order to create a profile for the most ideal sites, and then compare all potential locations to that profile. This technique normally necessitates the assistance of a data scientist to set up and manage the model.
A subscription to a geographic information system service is another possibility. These systems, which have emerged in recent years, attempt to connect multiple data sources with anonymized mobile device data. Their traffic data is up to date and precise, and they overlay information such as census demographic data, psychographic customer segmentations, and shop location characteristics. Some can incorporate your data and create a bespoke location scoring model, and the most feature a user-friendly mapping and reporting tool. You must research each of the tools to ensure that they have included the data that is most important to your organization.
Whatever solution you pick, once you have a functional universe mapping tool in place, you will continue to feed actual kiosk performance data into the model so it gets smarter and smarter over time – guaranteeing that the majority of kiosks you install are as profitable as possible, as rapidly as possible.
Don’t hasten the growth.
I strongly advise you to start by gradually developing your kiosk network. Put your model’s outputs to the test. Is the preferred location ramping up and performing as expected? If not, look into why. Is in-store positioning suboptimal? Is the kiosk generally exposed to consumers in order to raise awareness? Is there enough foot traffic at the retail location to support the kiosk? Whatever the reason, adjust the kiosk location and feed all of that information back into the model. As a result, when you are in the learning stages of your kiosk network expansion, a “friendly” location partner is excellent. They will work with you and are typically tolerant with kiosk moves and placement exams, which is quite beneficial in the beginning.
If possible, I also advocate conversing with customers as they utilize your kiosk. What appeals to them about the kiosk transaction? What do they dislike? When did they use the kiosk throughout their shopping trip? Where do they think they’ll locate your kiosk? Would it be more convenient for them to shop at other markets? Data can get you a long way, but nothing beats talking to your customers about their experiences.
The finest kiosk sites are censorious to your overall completion. Before committing to an address and developing your network, it is critical to handling the essential research. At Linkitsoft, contemplate each possible location not only from the viewpoint of the business owner, but also from the standpoint of a conceivable customer.