1. Ceiling sensors
Ceiling sensors are a solution that is both simple, inexpensive and quick to implement. These can be installed above all entrances and exits and record when customers enter or leave the store. The metrics that can then be called up show on the one hand how many people have visited the store per day, week or month, and on the other hand they also provide information about when the peak times are or when they are slack.
2. Self Service Terminals & Smart Dressing Rooms
At self-service terminals, customers can obtain details about items, be inspired by outfit suggestions or alternative items, or check whether an item is still available in other sizes and colors. The intelligent changing room and the digital mirror are also based on the same principle.
Valuable data is generated in the backend of the retail store by any customer actions. For example, it can be recorded how many articles were viewed via the self-service terminal/mirror or which product was selected most frequently. These are two of the standard KPIs that are implemented in our system out of the box. However, there should always be the possibility of including special customer requests. A shop may be interested in the times of day at which the terminal was used particularly often, how long the user stayed, whether effects on sales can be derived (articles viewed versus articles sold), or which colors within a certain group of articles are currently particularly popular .
In addition, self-service terminals always offer added value for the customers themselves.
3. Lift/Place & Learn
Lift & Learn or Place & Learn means that an article provided with an RFID chip is taken from an RFID antenna platform (= Lift & Learn) or placed on an antenna (= Place & Learn). As soon as the RFID chip and antenna communicate with each other, a preset action is triggered: for example, a video is played on a digital signage screen. Customers can learn something about the products in a playful way.
Data that can be generated for the store from Lift/Place & Learn includes, among other things, which product was most frequently placed on the antenna, i.e. which customers were most interested in. It is also possible to see when the products were particularly interesting and whether the content that was triggered was played completely or stopped.
4. Interactive storefront
The interactive shop window consists of a digital signage screen in your shop window, to which up to 6 infrared buttons are connected. These are attached behind the window pane. The content of the signage screen is controlled with the help of the buttons.
An application example would be that interested parties can ‘Like’ the articles they liked the most – around the clock. Accordingly, it is also evaluated at which times the shop window was ‘most interesting’, i.e. when the most actions were carried out. Since the buttons can be assigned any action, there are no limits to the imagination of the scenarios. Every action of every button leads to data.
5. Omnichannel Orders
Click & Reserve, Click & Collect and Ship from Store orders are associated with a wealth of data. Similar to the pure online shop business, you can see exactly which customerinside which items have ordered. Because customerHowever, if you have to come to the store for the pick-up, there are often opportunities for additional sales. In the best case, these can be recorded in such a way that they can be linked to the C&R and C&C processes and provide information as to whether Click & Collect/Reserve are additional revenue generators.
6. Cries for help
Often inconspicuous, but neuralgic nonetheless: Kundinside to give an opportunityn sellerto call in for help. This can happen in different ways and at different places (e.g. Self Service Terminal, Self Checkout, Intelligent Changing Room or by Flic Button). The store assistant gets a push notification on his or her smart device that the customerneed support inside.
In the backend, it can then be displayed from which device how often the ‘call for help’ was sent, who reacted to it and also how long the reaction time was. If personal customer service is a top priority in your store, this data can provide valuable information on where customers are not yet intuitively able to navigate and whether it is worth taking a look at the response times.
Bütema AG offers all the solutions presented. Get to know them without obligation in one of our showrooms.