Having used this and other localization techniques for large indoor robot fleets over the past decade, the hard part seems to be reliability. It was relatively easy to get a sensor fusion solution to work but much harder to get it to work consistently.
Drift is one issue but the other gremlins also cause problems with repeatability: initial localization errors (wrong aisle), electromagnetic environment change (wifi strength is not static), physical environment change (if using optical or lidar).
I think this page is a nice intro to the wifi localization space and the website has an exciting tech startup vibe. But I think if you want to really capture the undivided attention of my peers: find a clear, compelling way to demonstrate that it’s robust and repeatable. For example, walk the same real-world space twice a day for a month, stitch together the tracks in a time lapse, and promise you haven’t cherry picked the results. Especially important is demonstrating this in areas with long, repetitive aisles (grocery stores, hardware stores, warehouses, etc.) That would go far! Good luck on being acquired!