2 ms·

I'd like to understand how the data harvested from these devices is actually used. So it is essentially showing the busy areas in the store and areas that are n

I'd like to understand how the data harvested from these devices is actually used. So it is essentially showing the busy areas in the store and areas that are not receiving as much traffic. Wouldn't that be also reflected in sales data (i.e. items in low traffic areas have less sales volume?), which is maybe why they're there in the first place...? How is this type of data actionable. Is there a team of middle managers that looks at this type of data and decides to continue rearranging their stores? It seems like the product layouts in my local grocery stores have hardly changed in the last decade, so I think I must be missing the point here.

bsder 6y ago
> Is there a team of middle managers that looks at this type of data and decides to continue rearranging their stores? Smart store managers would indeed do this. But they also don't need unreliable electronics to tell them what they know from walking around the store. > It seems like the product layouts in my local grocery stores have hardly changed in the last decade, so I think I must be missing the point here. 1) Grocery stores are optimized to hell and back already since the margins are so terribly thin. Industrial engineers have been over every shelf and aisle several times already. 2) Grocery stores have seem to have reoptimized roughly about 2-3 years ago. It seems like all the grocery chains suddenly remodeled and converged on a new layout.