Great exploration of the friction layer in automated commerce, Matt. The massive gap here isn't just consumer psychology—it's how the processing plumbing handles non-human transaction cadences.
I've been mapping these micro-temporal volume shifts on my Substack to see how merchant terminals manage "dead air" capacity gaps versus sudden velocity waves. It turns out tracking that velocity metadata pipeline is a massive leading indicator for merchant portfolio churn before it shows up in macro financial data.
I open-sourced the data science model behind it (time-series-velocity-baseline) in a piece called "The Velocity Multiplier"—would love your perspective on how the physical network layer handles these shifting commerce paradigms!
Great exploration of the friction layer in automated commerce, Matt. The massive gap here isn't just consumer psychology—it's how the processing plumbing handles non-human transaction cadences.
I've been mapping these micro-temporal volume shifts on my Substack to see how merchant terminals manage "dead air" capacity gaps versus sudden velocity waves. It turns out tracking that velocity metadata pipeline is a massive leading indicator for merchant portfolio churn before it shows up in macro financial data.
I open-sourced the data science model behind it (time-series-velocity-baseline) in a piece called "The Velocity Multiplier"—would love your perspective on how the physical network layer handles these shifting commerce paradigms!