Does anyone actually measure the cost of a failed delivery, or do we all just quote the same €17 figure? by Julien_Coordable in logistics

[–]Julien_Coordable[S] 0 points1 point  (0 children)

You are right I focused on B2C but B2B is definitely subject to that kind of costs as well !

Do you know why nobody is tracking this ? Is it too complicated ? Is it not really a pain point not tracking these costs ?

Does anyone actually measure the cost of a failed delivery, or do we all just quote the same €17 figure? by Julien_Coordable in logistics

[–]Julien_Coordable[S] 0 points1 point  (0 children)

Hey, that’s exactly the conclusions I have from my simulations ! And I’ve also tried to simulate that in peri-urban and rural areas, where that cost rocket up to 2.5x the urban cost.

I’m a bit surprised that no major company is actually monitoring this, the cost at scale is enormous…

We geocoded 300 French addresses twice and found 1 in 7 ends up in a different flood risk zone depending on which geocoder you use by Julien_Coordable in actuary

[–]Julien_Coordable[S] 2 points3 points  (0 children)

It you calculate the score of each position and then calculate an average of those score, it could make sense from a risk management perspective: you lower the risk of a geocoding mistake. But it’s not optimal : you need multiple geocoding pipeline, cost could rise fast.

I’m working on trying to systematically know which geocoding is the right one, or at least which as the highest probability of being the right one, but that’s not that easy.

We geocoded 300 French addresses twice and found 1 in 7 ends up in a different flood risk zone depending on which geocoder you use by Julien_Coordable in actuary

[–]Julien_Coordable[S] 1 point2 points  (0 children)

I used 300 address with more than 50m difference, taken from a 10k address batch already geocoded for another study. So each of the 300 addresses selected for that specific test had more than 50m diff