Fashion has always been a bit different to other industries. Consumers do not just buy because they need something. They buy because they are bored, influenced or simply browsing.
That makes it a perfect space for technologies designed to shape how we shop. Fashion sales are driven by cyclical trends and volume.
Much of the industry depends on overproduction, followed by constant cycles of discounting to clear stock. Sales are not just occasional events. They are built into how the system operates.
And now, a new layer of AI technology is starting to turbocharge that system.
Pricing is already starting to change
Dynamic pricing has been around for years. We see it most clearly with flights and ride sharing, where prices often increase the more you search, especially when there is a clear intention to pay for the service.
But in fashion, demand is not always tied to necessity. Because of this, pricing does not just reward urgency. It can also reward patience.
This suggests that dynamic pricing in fashion is not simply about pushing prices up. It is about constantly adjusting them to keep products moving.
A recent report from Business Insider in the United States shows how dynamic pricing is already taking hold in fashion retail. Prices of items sitting in an online cart at a major clothing retailer changed multiple times over a few days. Sometimes they went up, sometimes they dropped. In some instances, waiting resulted in a discount of up to 17%.
As this becomes more common, shopping will feel less like a simple decision and more like timing a system.
In Australia, the consumer watchdog does not consider dynamic pricing inherently unlawful. Broader data-use guidelines around pricing are not yet comprehensive.
