Welcome to 3PM Snacks, a mid-week (and mid-day!) rundown of what’s going on in the worlds of eCommerce, big data, and artificial intelligence. We hope you find it informative and easy to digest.
TL,DR version: Be concise.
Slightly longer version: Product titles are your first impression with customers. And with Amazon’s search algorithm. A product title should succinctly explain what your product is not what your product does. Product titles should be less than 200 characters — but, ideally 50-80 characters — and never be filled with keywords, rebate offers, claims, sales messaging, or anything else other than the product and its distinguishing features.
Artificial Intelligence (AI) seems to be a magical incantation of sorts that, if uttered by the right person in the right setting, your company turns into a tech unicorn. Because there’s money to be made, every company is now an “AI company” (even if 40% really aren’t).
Fortunately, Forbes contributor Brian Liang offers a helpful set of questions to separate the real AI companies from the imposters:
- What types of AI do you use?
- What are the specific algorithms you use in your ML?
- How are your ML models generated, trained, scored and validated, and who does this?
- What are the goals of each algorithm?
- How often are your ML models updated? How well do they perform against drift?
- What happens when your ML makes a bad decision?
(PS – Ask us these questions. We’re not a unicorn yet, but our AI is pretty great.)
Step 1: Travel in time back to 2009. Step 2: Buy $1,000 of eBay stock. Step 3: Profit!
But seriously…if you’re going back in time to 2009, grab a case of Dunkaroos. You can make a killing selling them on Amazon.