In a classic pricing project, a substantial share of the time goes into collecting, cleaning and matching data. That work is necessary but creates no value in itself, and it is why thorough pricing analysis has historically been reserved for larger companies.
When that part is automated, the economics change. The same analytical depth can be delivered in less time, and the analysis can be re-run when new data arrives instead of becoming a report that ages in a folder.
What remains is the part that genuinely requires judgement: deciding what the results mean for your business and what is worth acting on.