JM: So, we've looked at purchasing pattern. We've looked at sentiment. Now let's pivot if we can, Eddie, to technology and obviously artificial intelligence is reshaping everything from product discovery, customer service, pricing strategy. How is this impacting brands? And again, the way in which consumers actually make purchases.
EH: Yes, you're absolutely right Jeremy, that AI is completely front and center of what the management teams of these companies are looking at, the trends that they're looking at, and we can see it in our everyday lives.
I think it's sensible to look at it three ways. One, from the point of view of the brand owner and producer, two, from the perspective of the retailers and three from the perspective of consumers themselves. So, if we start first with the brand owners had a good example from Colgate recently where I'm just going to give some examples rather than try and explain everything about such a huge topic, they've got a 70% share of the global toothpaste market.
So, they're very dominant. That means they sell a lot of their product in tiny mom and pop stores in emerging markets, India being perhaps the biggest for them, where they have 250,000 to 300,000 stores owned by locals who may have no affiliation with a larger group. And it's impossible for someone from Colgate to go around all of these stores regularly for obvious reasons.
So one thing they've started doing is to ask the store owner, to upload some pictures of their store showing how their shelves are organised, and then when Colgate received that, they have an AI program that scans the photos, then comes up with a recommended reshuffle of how the retailers are displaying the products on their shelves, they send that back and the retailer might move the Colgate toothpaste to the left a bit or down a bit, or up a bit. It might move less frequently purchased goods down to the bottom. It might move higher margin products to the middle, and the result of that is a win-win because the retailer gets more profit overall because, he's displaying the goods in a more appropriate manner.
And from Colgate's perspective, they get a closer relationship with their retailer and get more data from them. And so that is a total win-win almost with no human intervention, so, the cost of it is very low indeed, and many companies are doing this. I think Colgate are probably at the fore of it.
L'Oreal is another one which has masses of little stores everywhere in emerging markets. And the other way that the brand owners are using it is just to come up with different formulations of ingredients for their brands to try and lower the price, maybe come up with new flavors, that sort of thing.
And they can experiment and do that far more quickly than human beings can. So that's the brand, producer. The retailer, a great example of how they're using AI actually is Walmart were telling me that historically if they had a huge truck come into one of their warehouses to unload that truck and make sure everything was on it that was supposed to be on, it would take about two days, which isn't too surprising when you think about the amount of stuff that you can get in one of those trucks.
Now using ai, they can almost unbelievably reduce that two days to less than an hour. And so, the cost savings involved in that in terms of time, in terms of getting stuff into the store very quickly are absolutely huge. And the other thing that they can use it for is just demand forecasting. So if Walmart historically hasn't been too sure how swiftly they'll be able to sell a batch of washing powder or something like that, they can use scenario analysis, all sorts of things to reduce the amount of inventory that they hold in store, and we're seeing a lot of that to what's called in the trade destocking to reflect the shorter timeframe that they can operate within. And so, it's just more efficient all round.
And then finally number three, looking at things from the consumer's point of view. I think that they're using, whereas before, they might use a search engine like Google to look for where they could buy products. Increasingly, particularly younger consumers are using ai, whether it be ChatGPT or other similar programs to conduct a deeper search of what's available and recommended ways of purchasing.
So, I think what that means is that the companies that we look at need to be absolutely sure that they're connecting with the consumer, where the consumer is. Are they online more than they used to be, and not in certain other more traditional marketing areas where they might effectively be throwing money away rather than using their marketing dollar effectively.