I'm a data scientist, and my impression is that the growth of data science as a profession over the last ~decade has enabled companies to price more efficiently than they used to. That in turn was enabled by technical improvements like cheaper storage and compute and commoditized data infrastructure. I don't have a strong opinion on how much of the inflation this explains, but directionally I'm very confident that companies have gotten significantly more efficient at pricing over that time period, and pretty confident that that would lead to price increases for a lot of businesses.

Supply chain and price shocks during COVID probably accelerated this trend quite a bit - McDonald's would have eventually figured out that the profit-maximizing price of a burger is closer to $4 than $1, but COVID shocks gave it license to raise prices much faster. The good news is that I think of this largely as a one-time shock: once companies have perfectly set profit-maximizing prices, there's no room for more price-optimization-driven inflation, except to the extent that consumers get richer or less price-sensitive over time.

Quoting Matt Levine, "a good unified theory of modern society’s anxieties might be 'everything is too efficient and it’s exhausting.'"