We’ve finished the coding updates for our touring plan optimizer for G+, too. We’re waiting for Apple and Google to approve the app changes. Once those are out, we’ll tell you the best G+ reservations to get, and when, for your specific date and list of attractions.
I have tried following these instructions with both a new and “template” TP and it doesn’t seem to be working. When I optimize, it doesn’t add the suggested LLs and when I evaluate with a manually added one, it says it can’t find a forecasted time. Has it worked for anyone?
Hmmmm, it’s still not working for me. I deleted and redownloaded the app. And it shows that I have G+ but the system is not adding in lightning lane suggestions for me.
I can’t seem to get LL return time forecasts consistently except as part of an Optimized plan where the system chooses my LL’s. I appreciate the system is trying to minimize my total time for the day, but I actually care more about minimizing wait time by maximizing LL’s.
What I would like is to give it a list of target LL’s to obtain at specific booking times, and get a RT forecast back for each - I could figure out the rest from there. But I can’t get that to work, bc Evaluate wants all those Obtain steps to happen before plan start time. I can play around with plan start time and get something, but it’s laborious.
I’m playing around with it, not sure if I’m doing something wrong.
I created a plan with the plan times of 10:30am-7:00pm with six G+ eligible attractions, then optimized. It only has me obtaining and using two LL’s the whole day. Obtaining one at 9:27 and the other at 3:29. There is no free time at all within the plan, and the last attraction is well past 7:00.
It seems to be optimizing around getting through all the rides listed even if it means riding standby, and assumes that plan start time is fixed with no wiggle room.
I understand it won’t get all the LL’s if not necessary. And it hasn’t gotten any better when I shorten the hours. Hmm, definitely will take time to figure out…I’m hoping this isn’t too complicated for most users.
And you’re right, you should be able to manually add an attraction and get a forecasted return time. TP has that data.