In a recent edition of this newsletter, we asked readers to submit their burning questions about all things Amazon, data, and AI. <\/p>\n\n\n\n
We got some great responses, and our CEO Sreenath Reddy<\/a> answered a small selection.<\/p>\n\n\n\n Below, we\u2019re excited to present you the first in what we hope will be a recurring mailbag edition of our newsletter. <\/p>\n\n\n\n Want to contribute? Be sure to read to the bottom to see how you can send in your own questions. <\/p>\n\n\n\n Before I answer this, I want to establish what ChatGPT is. ChatGPT is a new AI platform built on top of a \u201clarge language model\u201d (LLM). It has the ability to take in prompts and other inputs and deliver relevant outputs. <\/p>\n\n\n\n These are its two core use cases: Extract insights and create content<\/p>\n\n\n\n As with any new innovation, I think that brands and agencies should play around with ChatGPT and tease out whether or not it has a real application for their business. That way, you\u2019ve put yourself in the position to discover opportunities with LLMs. <\/p>\n\n\n\n But remember, we really are in the early stages with these tools. If you\u2019re not using them yet, I don\u2019t know that you need to have any kind of FOMO.<\/p>\n\n\n\n What you should<\/em> do no matter what, however, is prepare for the scenario in which an AI capability comes around that is useful to your business. That means ensuring all your critical datasets are well-organized and well-oiled. <\/p>\n\n\n\n As AI capabilities become more and more accessible, the quality of input will have a huge bearing on the quality of output from these models. So keeping your data organized and comprehensive is essential, whether or not you\u2019re using AI yet.<\/p>\n\n\n\n As discussed, LLMs can do two main things: Creation and extraction. On the creation front, one obvious place where I see AI taking hold is around generating product content. <\/p>\n\n\n\n Brands and agencies are already starting to use ChatGPT and other LLMs to write product titles, descriptions, and tags. Especially when you have a large product catalog, leaning on ChatGPT to generate content at scale makes a lot of sense. <\/p>\n\n\n\n In the long term, I also foresee AI tools becoming sophisticated enough to layer narrative descriptions on top of data. I\u2019m imagining AI tools that are able to take your ad data, for example, and come up with a narrative description explaining what happened or what changed. You can easily read it on a mobile phone and be fully up-to-speed. <\/p>\n\n\n\n For example, you might be able to integrate your ad data with AI capabilities and ask the AI, \u201cWhat happened to my ad performance last month?\u201d The AI would return a deep analysis explaining why your ad revenue or ad spend went up or down last month. <\/p>\n\n\n\n We\u2019re not there yet, of course. But I could see this becoming the next frontier. <\/p>\n\n\n\n This is a question I get a lot from brands and agencies that want to boost their data management capabilities.<\/p>\n\n\n\n The real answer is long, but here are a few skills I often highlight: <\/p>\n\n\n\n SQL.<\/strong> Fragmented data is an inevitable part of Amazon. You have data from Seller Central, Vendor Central, sponsored ads, and much more. <\/p>\n\n\n\n Let\u2019s assume you are storing this data in a warehouse somewhere. To unify all of those data sets, SQL skills can be very handy. With SQL, you can, for instance, join an ad table that has product metrics with an overall sales table that also has product metrics. That way, you can see a full, interconnected view of your product performance very quickly. <\/p>\n\n\n\n These skills can be hard, but they are important for all aspects of data management. <\/p>\n\n\n\nAm I missing out by not integrating tools like ChatGPT into my business strategy right now? <\/strong><\/h3>\n\n\n\n
I know you talked about <\/strong>using AI for review analysis<\/strong><\/a> <\/strong>in a recent newsletter. What are other use cases of AI that you foresee businesses trying out in the near future?<\/strong><\/h3>\n\n\n\n
What skills should I focus on developing to get better at managing my data? <\/strong><\/h3>\n\n\n\n