Use Cases Scenarios
Fashion Store

Beaconinside Use Case graphics: Fashion

A shopping trip with personalized digital support

1Tim needs new pants. Therefore, he is heading downtown.
ANALYTICS

Generally, location information can already be gathered before Tim enters a particular store.

EXPERIENCE

To benefit from its digital services, he has installed the app of his favorite clothing store on his mobile phone. On his way he receives a push notification containing the information that the summer sale just started.

2Downtown, he is visiting and passing a few shops.
ANALYTICS

Tim’s prolonged stays in close proximity to other stores give his favorite clothing store the chance to analyze his interests.

EXPERIENCE

A push message appears on Tim’s mobile phone: “Get inspired! Take a look at the outfit we assembled just for you”.
He likes to get inspired and clicks the message. He’s redirected to the mobile website of his favorite fashion store. On the landing page, he is proposed an outfit that perfectly matches his casual style. Of course, he can buy each item in the store. Tim is excited and decides to visit the store.

3Tim is close to a branch of the fashion store.
ANALYTICS

In general, it can be documented when and how often Tim passes a certain branch.

EXPERIENCE

Tim receives an exclusive 5%-off-coupon that he can redeem today.

4Tim enters the store.
EXPERIENCE

He is welcomed in the store through a push notification. In this message, he is also advised that by clicking on the message, he can easily find out whether the items of the previously proposed outfit, are available in this branch. Tim clicks the message and is redirected to the mobile website. There, he can see that the pants of the suggested outfit are not available in his usual size. He decides to try on the pants in a shorter length.

ANALYTICS

The performance of the proposed outfits (Use Case 2) can be measured by the number of clicks on the follow-up notification (Use Case 4). Thus interest profiles can be individualized more and more precisely.

5Tim has tried on the proposed pants in a smaller size but it doesn’t fit.
Now, he is standing again in front of the rack where he also got the pants from that he just tried on.
EXPERIENCE

Tim holds his smartphone against the appropriate digital price tag. Immediately, he is redirected to a product page within the app where he can choose other sizes and colors. All items can be ordered home or to this branch. he can also choose to make a reservation in another branch.

ANALYTICS

The advertising effectiveness can now be fully evaluated. Tim completed a purchase (online). At the same time an even more accurate customer profile can be created. When he scans more price tags, his style and interests can be further refined.

Use Case can be perfectly implemented with ESLs from SES imagotag
6Tim passes a digital display.
EXPERIENCE

Tim likes to buy funky sweaters. The display shows a few sweaters, that match exactly his style.

INFRASTRUCTURE SHARING

Various apparel manufacturers may get access to the technology integrated into the display. They can then display their own ads on it.

Use Case can be perfectly implemented with digital displays from
Logo Pyramid
7Tim is looking for a new jacket.
ATTRIBUTION

The data of Tim’s positions in the store can be shared with various analytics partners.

EXPERIENCE

Tim’s attention is drawn to a raffle in the basement: Every goal on the goal wall can win something.

Use Case can be perfectly implemented with
8Tim passes the accessoire department.
Signals are transmitted via the lighting system. They can initialize various location-based services.
EXPERIENCE

He receives a message that advertises belts that would fit perfectly the proposed outfit. He decides to take a look at them.

ANALYTICS

Tim’s positions in the store can be tracked.

INFRASTRUCTURE SHARING

Various partners (such as apparel companies) can get access to the technology. They set up marketing campaigns that are displayed through their own apps.

Use Case can be easily implemented with several lighting systems.
9Just before he arrives the checkout, he passes a large screen.
EXPERIENCE

Tim and his wife are very environmentally aware. They prefer to wear clothes that have been sustainably produced. On the screen, the advertising for a new concept appears: Starting next week, there will be a sustainable fashion line, that the clothing store has launched in collaboration with various relief organizations. Part of the proceeds will be used to build schools in developing countries. Tim is totally excited and wants have a look at the new garments next week with his wife.

INFRASTRUCTURE SHARING

In addition, partners (e.g. apparel manufacturers or detergent manufacturers) may also get access to the technology in the screens. They can run marketing campaigns on their own apps or on the screen.

Use Case can be perfectly implemented with digital out-of-home installations from
10Tim is at the checkout to pay for two sweaters, a jacket and a belt. He will receive the previously ordered pants (Use Case 5) at home in a few days.
EXPERIENCE

He receives the information that it is now possible to pay with alternative payment methods. He is also informed about the Loyalty Program, which allows him to earn loyalty points for great discounts with every purchase.

INFRASTRUCTURE SHARING

A mobile payment app provider has gained access to the technology integrated into the card terminal. The provider is using this for analysis purposes and to run marketing campaigns via their own app.

Use Case can be perfectly implemented with card terminals from
11He is leaving the store.
ANALYTICS

Afterwards the duration of Tim’s stay can be calculated.

EXPERIENCE

He is thanked for his visit in a push message.

12Of course, his journey does not end when Tim leaves the store.
PROFILING

Further insights into Tim’s shopping preferences can be gathered. It can be analyzed whether Tim subsequently visits stores of competitors.

13Tim is back home now.
ANALYTICS

Data collected during his shopping trip in the city can be connected with online generated data.

EXPERIENCE

Tim can now look forward to more relevant services and optimized digital styling suggestions – both online and offline.

RETARGETING

Tim’s attention can be regained online by suggesting fashion items that match the style he was interested in at the store.

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