How to Use ChatGPT to Improve Omnichannel Content

Unique usage of generativeAI. CommerceIQ harnessing some OpenAI to come up with content suggestions. This is a prime example highlighting the shift happening from Digital Shelf Analytics to Digital Shelf Optimization.?

Liquid Death recently launched its line of Iced Teas. This one is called the Armless Palmer.?

Using ChatGPT our recommendation engine came up with a few alternate titles for the nascent product.?

It is currently “Liquid Death Iced Black Tea, Armless Palmer 19.2 oz King Size Cans (8-Pack)” and a few alternate product titles may include:

• “ Liquid Death Iced Black Tea & Lemonade - 30 Cal, 6g Sugar, 30mg Caffeine, B Vitamins - 8-Pack King Size Cans”

• “ Liquid Death Iced Black Tea & Lemonade - 8-Pack 19.2 oz King Size Cans w/ 30 Cal, 6g Sugar, B Vitamins & Microdose Caffeine”

• “ Liquid Death Iced Black Tea Armless Palmer, 8-Pack (19.2oz King Size) - 30 Calories, 6g of Sugar, Natural Caffeine & B Vitamins - Infinitely Recyclable”

We have trained an OpenAI model on couple of things:?

1. Broad content guidelines - For example title should have brand name, variation information, Value prop etc. and should be X characters long at a minimum
2. More than 1,000,000 SKUs across 100s of categories on Amazon to identify common themes across high converting/bestseller SKUs.?

When our Chrome plugin gets used, it analyzes the page content and reviews data in real time to suggest better versions of content. It also summarizes reviews to identify why consumers like the product and areas of improvement.?

The beta clients have seen a remarkable level of success in early A/B testing (and I must stress we are still in the first inning of the game here.).

Would like to hear your ideas of what our lab should test out with GenerativeAI? Sentiment Analysis? Bullet Points? New Product Development (NPD)?

Note: This was NOT written with ChatGPT!