Optimize brand management with AI

The success of a brand depends on the effectiveness of its brand assets – be it an Instagram story, a banner, a TV spot, or packaging. The challenge: individualization and the large number of channels and formats lead to a constantly growing number of assets. This situation makes it necessary to develop them quickly and with agility. Therefore, it is barely surprising that the use of artificial intelligence (AI) is one of the most important marketing trends.

AI enables automated quality control

So far, there have been two ways to ensure quality in marketing: fixed rules and tests with consumers. Rules certainly help, but their compliance must be checked. The use of AI solutions is ideal for this, especially when many agencies and people are involved. The AI can provide feedback during the creation and approval process on whether the CI and CD have been complied with. Tests with consumers are definitely necessary as well. However, they cost time and money. As a result, they are either not carried out or only carried out at the end. An AI solution, trained with consumer data, is an optimal alternative here. AI makes the intuition of consumers available as scaled feedback in the company. Today, for instance, a marketing team optimizes the branding before the ad is switched on. By connecting the AI to the company’s asset management systems, this quality control can also be seamlessly integrated into existing processes.

Optimization from the start

With AI, quality control is continuously available. This means that it can be used to iteratively optimize the quality directly during the creation. If so far, marketing has only received feedback after the ad placement – whether the branding was good or not, the budget has been spent. However, the AI is now available as often as you...