Let's talk supply chain.

You are a professional journalist, and that's one of the many things that I admire about about you.

But the total landed cost engine is different because number one, it has real-time access to the data and such, whether it's a change in a customs tariff through an API with the harmonized tariff schedule of the US or a TMS or a contract that is fed into a large language model that has all the rates from an ocean carrier.

These things are all important because I am of the fundamental belief that total landed cost is what drives so many other activities across the supply chain.

If you think of, we really represent total landed costs in an AI-based environment as the core of concentric circles that kind of radiate outwards.

So how do you know how to price a product other than what the market will bear, unless you really know what it costs you? You have to do a demand forecast based on a sales price of an item.

What if you could, engage ai to do simulations of a product at a sales price of 25 versus 27 versus 30 to manage your margin which is super important element of the total landed cost engine as well and just radiate out from there working capital importers don't have limited access to funds they they have to budget Well, if the budget is wrong because the total landed cost calculations were based on some spreadsheets and duct tape and bailing wire, those early errors are going to find their way into the entire organization.

But how do you respond to some of these concerns?