AI has taken the world by storm. On the one hand, there are concerns regarding its use of copyrighted material, without compensation given to professional creatives. On the other hand, it can be used to handle extensive, complicated tasks quickly and efficiently. It is especially effective when used in conjunction with reliable data.
AI Integration Across Industries
AI has found use in most industries. It can be used in healthcare to help create predictive models, as well as determine effective treatment plans. It is used in transportation to help ease congestion and ensure smoother journeys. It is also employed in the creative and entertainment industries, where generative AI is used to create media assets.
Along with other transformative and disruptive technologies like blockchain and even cloud computing, iGaming sites also use AI to help improve member bonuses and player attraction and retention rates. Online gambling expert Andjelija Blagojevic says the best bonuses include high deposit matches on lower deposit values.
AI Generated Content
Generative AI is a form of artificial intelligence that is used to create new content. It can be used to create text, images, audio, and videos. It uses existing content that it deems to be similar to the required output, making changes to more accurately meet end requirements.
Generative AI is different from most other forms of AI. While it attempts to create something new, other forms of AI are used to analyse data or create predictive models to determine likely future outcomes.
Generative AI can be used in window displays to help create marketing content like tag lines, as well as AI images that match demographic and other data.
Dynamic Display Adaptation
Personalization is a key feature of effective retail. The more personalised a campaign, the more effective the results will be. This personalisation is used in every step of the retail process from product creation and choice to marketing displays and even offers and promotions.
AI can be used to quickly determine shopper preferences, potentially creating unique ads and displays for them, although this is most often used in mobile and online advertising. When it comes to window displays, AI can quickly analyse existing and real-time information, effectively customising a window display to match current requirements, allowing the store to react to unexpected trends.
Real Time Adjustments
No matter how carefully a store plans its retail display, changes happen. Moods change and events occur that can change the mood of shoppers. If it starts raining, shoppers are less likely to want to buy summer outfits and more likely to want to buy protective outerwear. Window displays and signs can use AI to adapt to current conditions and make appropriate changes to benefit from these changes, rather than lose out because of them.
Similarly, AI can be used to monitor stock levels and other supply chain factors and make necessary changes to the window display. If a sale item has sold out, AI can replace the window ads with something else.
Typically, retail stores have to wait until the end of the day, at least, before they can make these dynamic changes to their advertising displays. And in some cases, it might be necessary to wait until senior personnel OK any changes. With effective AI and machine learning algorithms, displays and ads can be changed on the fly, enabling the store to benefit immediately.
With the cooperation of other surrounding stores and venues and the sharing of data between businesses, it would even be possible for window displays to adapt to changes seen across various stores. If the shoe store next door sells more sneakers and active footwear, the clothes shop next door might adapt its display to show athletics equipment.
Improved Interactivity
Interactive window displays are still relatively new, but they can be very effective. They incorporate kiosks and touch-screen displays that allow visitors to browse catalogues or look at the items that can be found in the store.
AI can be combined with this technology to produce more personalised interactivity. By analysing purchasing activity from the store’s previous customers and their shopping activities, AI can determine the most appropriate items to show based on current searches or interests.
These personalised cross promotions are more effective than blanket offers, and they can help increase total revenue per basket figures, as well as other key metrics. Most importantly, they adapt on the fly, using the very latest information from all previous customers to help ensure the most reliable results.
Immersive Experiences
AI can also combine with other modern technologies like augmented reality and virtual reality. AI could potentially be used to essentially look at shoppers as they approach the window, even taking into account the style of clothes they’re currently wearing, before displaying similar items in the window display.
When combined with AR, the customer could then see how that particular outfit would look on them. Stores and companies would need to overcome permissions-based challenges, but this could be done via kiosks, booths, and even NFC-based shopping apps that trigger when a person walks within a certain range of a window display.
VR is also becoming more popular, especially for businesses like travel agents, and this can combine with AI to create some of the most immersive experiences possible for travelers.
Performance Tracking
One area where AI excels is in the handling and manipulation of data, which is something that retail relies heavily on. AI can collect, collate, analyse, and act on data in real-time, potentially more efficiently than humans or existing computer programs can.
It can gather data from a wide variety of sources, potentially even including external sources, and update its own algorithms to create models and data designed for optimal performance. And, because AI learns as it receives new data, it can use its own results to improve performance and further enhance sales and profits.
