Gary Saranrota

So we're simulating the future and you don't necessarily have to have ever done it in the past.

It doesn't need a labeled example.

So the historical data just lets us calculate seasonality and elasticity, cannibalization, halo, pull forward.

And then we plug those into our laws of physics and then simulate the future to say,

you know, we're optimizing the market.

Given an entire market, we're looking at all the competitors in the market as well.

So it's optimizing a total company and we've modeled the retail dynamics and insurance dynamics to saying if you do these things and obviously, you know, there's some assumptions like, you know, the market is fixed.

You know, there's a $700 billion grocery market and, you know, for the grocery industry and, you know, given that the money is fixed, yes, it will shift between companies.

You know, every dollar you grow is taken from somewhere.

You know, it's either it's

customers not spending that at another competitor or at a restaurant or something else.

So, so that that's the dynamics we figured out.

And, you know, it's not like, I wouldn't say it's like Einstein's theory of relativity.

That's a very absolute provable laws.

Ours are, you know, they work to drive massive sales growth.

I mean, we've grown our client total company revenue by three to 5%, which, you know, on a, on a base of, uh, you know, our largest customers, it's more than a billion dollars.

So it works good enough to generate that value.

I would say it's not an absolute law, but it's pretty close because it works.

We use the exact same math at every single customer.

That's what we're struggling.