Evolution of AI-Driven Marketing: From Traditional Marketing to AI-steered Marketing

Marketing theory and practice have changed a lot over the last seven decades. In the middle of the century, business strategies were mostly focused on the company, putting more emphasis on making a lot of products using the same messages and spreading them through one-way media channels like newspapers, radio, TV, and signs on the road. The internet arrived in the 1990s and started the move to digital. This brought interactive ways of talking, digital data, tracking performance, and grouping people by demographic attributes. Now, marketing is changing again because of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and big data analytics. AI marketing changes how businesses work from trying to keep customers to predicting what they might want, changing prices in real time, making suggestions that fit each person, and assisting via chatbots. This paper looks at the journey from old ways of pushing messages to today's smart AI systems. It examines theoretical concepts, how systems work, strategic benefits, implementation bottlenecks, and real examples from companies like Amazon, Flipkart, Zomato, Swiggy, Netflix, Spotify, and HDFC Bank.