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AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Brand adherence

Introduction

It is therefore important to note that the marketing industry has evolved greatly in the recent past especially due to adoption of artificial intelligence. It has created new ways through which brands can interact with their customers, provide them with unique experiences, and keep the brand identity intact. Among the most effective applications of AI in marketing, brand adherence is possibly the most valuable. To this end, brands are embracing the use of artificial intelligence to guarantee that their marketing practices are in line with the brand identity, voice and visual system. This makes use of technologies such as machine learning, natural language processing, and computer vision to examine and improve the marketing content as well as monitor the brand and engage the customer.

Challenges

There are however some challenges that can hinder the effectiveness of AI in enhancing brand adherence. A major barrier is the limited awareness and knowledge on AI and what it is capable of, which results to exaggerated expectations and wrong ways of using it. Also, the process of integrating AI into the current systems and processes may be cumbersome and tedious. Brands also face challenges that are associated with data; in particular, the quality and quantity of data. To this end, AI models need large amounts of high-quality data to be able to perform well, and such data is not easy for companies to come by. Finally, there are ethical and privacy issues. Applying AI in customer data analysis and marketing content personalization pose a number of privacy concerns that brands have to address while dealing with customers’ trust.

AI Solutions

To these challenges, AI offers a number of solutions. For instance, machine learning algorithms can be applied to large sets of marketing content and determine which parts of it are consistent with or contrary to the brand standards. Natural language processing can be applied to the tone and language of the marketing copy to make sure that it is in line with the brand’s voice. Computer vision can be employed for analysing the visual aspect of the marketing content to check if it is in line with the brand’s visual identity. It also possible to use AI in the management of marketing content to check for brand compliance and this helps free the marketing teams to do other important work. Some of the companies that are at the forefront in providing such AI solutions include IBM with its Watson AI, and Adobe with its Sensei AI.

Benefits

The following are the important steps that are involved in the process of achieving AI for Brand Adherence. First, it is important to collect information from different sources within and outside the organization in order to identify the brand’s identity and the customers’ profile. The second activity is to apply the AI tools to process this data and create a brand style guide that includes the visual, verbal, and emotional aspects of the brand. This guide is a resource to all the marketing products that are to be developed. The next step is to employ AI in the management of marketing outputs for compliance where AI can play a role in both monitoring and maintaining quality. Lastly, utilizing AI in dynamic tuning of marketing content to target specific customer groups can greatly improve the efficiency of the brand management efforts.

Return on Investment

It is possible to have a high return on investment (ROI) when implementing Artificial Intelligence (AI) for brand adherence. For example, in the process of brand compliance checking, brands can reduce the costs and time spent on the process while also reducing the risk of mistakes. Through delivering more relevant and personal marketing content, brands can enhance the level of customer interaction and increase sales. Although it is possible to compute the ROI with a certain level of detail, it can be rather complicated because of many parameters that have to be taken into consideration, still, many companies stated that they gained a ROI from their AI investments. For instance, Netflix claimed that its AI-enabled recommendation system helped it save $1 billion per year.

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