Table 2 Marketing transformation through...

Table 2

Marketing transformation through AI timeline across the three global brand cases

Year	Global AI innovations	A. Beverage brand	B. Beauty retailer	C. Athletic apparel brand
2017	Transformer architecture is introduced (Vaswani et al., 2017) – foundational for NLP breakthroughs	–	–	AI is considered for a personalization pilot in a mobile app
2018	BERT by Google revolutionizes natural language understanding	–	Initial exploration of chatbot interfaces	Initial use of AI for app recommendations
2019	GPT-2 is released (OpenAI), the first commercial-level text generation models	–	Beta-testing conversational commerce with NLP engines	AI-enhanced segmentation models are tested for e-commerce
2020	AI in image generation (GANs) becomes widely usable; global shift to digital post-COVID	Brand starts exploring generative visuals for culture-driven content	COVID-19 pandemic drives chatbot adoption for online skin consultations	Fitness behavior data fuels hyper-personalization project
2021	DALL·E and CLIP emerge; diffusion models advance multimodal content	Pilot with DALL·E-like tools for creative marketing campaigns	Full-scale launch of AI chatbot across major markets	Predictive offer engine integrated into mobile notifications
2022	ChatGPT (GPT-3.5) launches; consumer-level conversational AI goes mainstream	Global user prompt marketing campaign with AI-generated visuals	Conversational AI handles more than 40% of digital queries	Predictive personalization drives over 30% of push interactions
2023	GPT-4 and Midjourney improve creative and reasoning abilities; GenAI goes viral	Expanded use of GenAI for seasonal marketing campaigns and co-creation contests emerges	Integration of GenAI into the AR try-on and makeup tutorial system	Launch of real-time AI content adaptation platform
2024	Diffusion models for video, multimodal GPTs and real-time personalization APIs are mature	An internal AI lab is created to support multi-brand activation	An ethical AI framework is launched; facial bias detection algorithms are developed	An AI-led marketing campaign is tested and optimized in less than a 24-hour cycle
2025	Agentic AI and multimodal consumer interfaces (visual, gesture and speech) mature	Brand personality is modeled in LLM for dynamic creative briefs	Conversational agents are trained on brand tone for 1:1 AI sales	Real-time “adaptive storytelling” engine is going live in all DTC apps

Year	Global AI innovations	A. Beverage brand	B. Beauty retailer	C. Athletic apparel brand
2017	Transformer architecture is introduced (Vaswani et al., 2017) – foundational for NLP breakthroughs	–	–	AI is considered for a personalization pilot in a mobile app
2018	BERT by Google revolutionizes natural language understanding	–	Initial exploration of chatbot interfaces	Initial use of AI for app recommendations
2019	GPT-2 is released (OpenAI), the first commercial-level text generation models	–	Beta-testing conversational commerce with NLP engines	AI-enhanced segmentation models are tested for e-commerce
2020	AI in image generation (GANs) becomes widely usable; global shift to digital post-COVID	Brand starts exploring generative visuals for culture-driven content	COVID-19 pandemic drives chatbot adoption for online skin consultations	Fitness behavior data fuels hyper-personalization project
2021	DALL·E and CLIP emerge; diffusion models advance multimodal content	Pilot with DALL·E-like tools for creative marketing campaigns	Full-scale launch of AI chatbot across major markets	Predictive offer engine integrated into mobile notifications
2022	ChatGPT (GPT-3.5) launches; consumer-level conversational AI goes mainstream	Global user prompt marketing campaign with AI-generated visuals	Conversational AI handles more than 40% of digital queries	Predictive personalization drives over 30% of push interactions
2023	GPT-4 and Midjourney improve creative and reasoning abilities; GenAI goes viral	Expanded use of GenAI for seasonal marketing campaigns and co-creation contests emerges	Integration of GenAI into the AR try-on and makeup tutorial system	Launch of real-time AI content adaptation platform
2024	Diffusion models for video, multimodal GPTs and real-time personalization APIs are mature	An internal AI lab is created to support multi-brand activation	An ethical AI framework is launched; facial bias detection algorithms are developed	An AI-led marketing campaign is tested and optimized in less than a 24-hour cycle
2025	Agentic AI and multimodal consumer interfaces (visual, gesture and speech) mature	Brand personality is modeled in LLM for dynamic creative briefs	Conversational agents are trained on brand tone for 1:1 AI sales	Real-time “adaptive storytelling” engine is going live in all DTC apps

Note(s): NLP = natural language processing, GAN = generative adversarial network, LLM = large language model, DTC = direct-to-consumer, AR = augmented reality, GenAI = generative artificial intelligence, API = application programming interface

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