OpenAI launched ChatGPT 18 months ago and took the industry by storm. The Big tech companies followed fast and rolled out numerous Generative AI capabilities of their own. Lots of VC investments have gone in.

The question is, 18 months in, What is the implication of GenerativeAI on Amazon Brands and Agencies?

My take is that focusing on business fundamentals has become ever more critical.

Let me elaborate with a few examples.

🔷 AI Shopping Assistants

Amazon launched Rufus, an AI-driven shopping assistant. What can brands do to benefit from it? Continue to focus on delivering products customers love. FEEDBACK FROM CUSTOMERS will play a significant role in what these AI assistants will deliver.

🔷 AI-Driven Content Generation

Content generation, once a task that required specialized skills and significant resources, is continuing to get democratized. Generating content, esp. at scale, was not everyone's cup of tea in the past and was a lever to differentiate for a few. This is no longer the case. Anyone can produce content. What matters most now is the QUALITY OF THE MESSAGE itself.

🔷 AI-Driven Data Analytics

One popular use case these days is 'Talking to data'. It's a simple concept: You state your data request in plain English, and you receive answers or charts in response. This capability is likely to be accessible in most reporting and visualization tools. However, it's crucial to remember that the quality of the output depends on how COMPREHENSIVE, CONNECTED and RELIABLE the underlying data is. Getting this foundational element right is a big area of focus at Intentwise.

#amazonadvertising #generativeAI #dataanalytics #retailmedia