AI Already Knows What You Should Do

I gave one of the AI applications a quick task. I gave it annual results for a segment of customers. I shared catalog costs, profit factors, average catalogs mailed to the segment for the year. I told the application the organic percentage.

In my contact strategy algorithm, I determined that the segment received twelve mailings on average, and should have received nine to achieve optimal profitability.

Within five seconds, the AI application created its own curve of diminishing returns, then authored a solution of 8.7 catalogs to achieve optimal profitability.

Several things.

1. This is probably bad for my business. Wrong. More on that in a moment.
2. If you are able to speak properly to AI and provide data in a manner that AI can deal with, AI should be able to guide your entire investment strategy as a marketer. No need for a third party to tell you that ROAS was 3.443 in June, worse than the 3.184 measure in May.
3. This is really good for YOU. You get to experiment without having to write 3,000 lines of computer code yourself or have somebody else write 3,000 lines of code for you.
4. If you ask questions the right way, you should be able to see what the future holds for your business.

Here's why this isn't bad for business - the minute you do things better than last year, your optimization solution needs to be recalibrated. Let an algorithm do that - analysis of categories and customer interaction with merchandise categories is where your success comes from. 

AI probably won't be good for quite awhile at knowing how you should assort stuff to customers (others will disagree with me) ... but it already knows what you should do to optimize what you're currently doing.