Amazon is adopting AI in every part of its product development process. In this post, we’ll look at how they are using AI for their A9 search algorithm– the search engine that powers Amazon search results.

From product discovery, business plan generation, design, and development, AI can help reduce the time spent on manual tasks and trial-and-error and help you launch more products faster than before.

In a technologically advanced ecommerce environment in which artificial intelligence seems to be taking over, where does a business owner even start? Where are the low-lift, high-impact opportunities to integrate AI into your marketing mix to drive greater ROI?

Moving away from traditional metrics like ROAS, TACOS, and ACOS, Amazon embraces a more comprehensive approach, reshaping how brands perceive the effectiveness of their Amazon Ads. At the core of this shift lies the Amazon Marketing Cloud (AMC) – a tool empowering advertisers to delve deeper into the customer’s journey and gain unique insights.

While it’s still in its early rollout phase, Bedrock is Amazon’s answer to other AI technologies, such as ChatGPT and DALL-E, which are both part of the OpenAI family.

We got ChatGPT to write an article on whether FBA sellers should use AI to write Amazon listings. Its frank, eerily human answer might surprise the ecommerce community.