1 00:00:02,360 --> 00:00:02,920 Hi guys. 2 00:00:02,920 --> 00:00:03,840 Welcome to this session. 3 00:00:03,840 --> 00:00:08,200 So in this session we'll see another custom GPT which is going to be open table. 4 00:00:08,200 --> 00:00:14,840 This is useful when you are planning to book any restaurants reservations you want to do specifically. 5 00:00:14,840 --> 00:00:20,400 So this can be really useful at times when you have a specific requirement and a specific time frame. 6 00:00:20,600 --> 00:00:28,040 So this custom GPT can take all of that into consideration and suggest you the most relevant restaurants 7 00:00:28,040 --> 00:00:28,760 to book. 8 00:00:28,800 --> 00:00:31,800 So let's see this in practical how this is going to work. 9 00:00:33,240 --> 00:00:38,040 So once you are on ChatGPT, the first thing we are going to do is we're going to add this to our list. 10 00:00:38,080 --> 00:00:40,480 So this is going to be open table. 11 00:00:41,160 --> 00:00:43,720 So you can see find the restaurant reservation. 12 00:00:45,880 --> 00:00:48,760 So you can start the chat from here. 13 00:00:48,920 --> 00:00:55,720 So now let's say we have a specific ask which is ideally what I want to know first is what are the capabilities 14 00:00:55,720 --> 00:00:56,680 of Open Table. 15 00:00:56,680 --> 00:00:58,440 What are the things can it do for us. 16 00:01:02,960 --> 00:01:04,880 So it can find and book reservations. 17 00:01:05,080 --> 00:01:07,280 Filter by cuisine and preferences. 18 00:01:07,320 --> 00:01:08,920 View menus and reviews. 19 00:01:09,200 --> 00:01:10,000 Earn rewards. 20 00:01:10,000 --> 00:01:11,640 Modify and cancel reservations. 21 00:01:11,640 --> 00:01:12,760 Join waitlist. 22 00:01:13,400 --> 00:01:17,680 So these are a lot of things which we can do with respect to hotel reservations, as you can see out 23 00:01:17,680 --> 00:01:18,040 here. 24 00:01:18,400 --> 00:01:20,520 So let's start with the first requirement. 25 00:01:20,560 --> 00:01:30,080 Let's say I'm looking to book for a business lunch at for four people, uh, on March 25th in LA. 26 00:01:31,440 --> 00:01:38,000 So I want it to give me suggestions of restaurants which will match this particular requirement. 27 00:01:43,840 --> 00:01:46,080 Is asking for a specific cuisine. 28 00:02:03,160 --> 00:02:08,560 I'm giving all the information it is asking for, specifically the time and the setting. 29 00:02:14,720 --> 00:02:15,480 So now you can see. 30 00:02:15,520 --> 00:02:15,800 You can. 31 00:02:15,840 --> 00:02:17,880 It has given me the options over here. 32 00:02:17,920 --> 00:02:22,760 Top formal Italian restaurants for business lunch in La Drago Centro okay. 33 00:02:22,800 --> 00:02:23,680 And so on and so forth. 34 00:02:23,680 --> 00:02:24,640 We can see that. 35 00:02:24,640 --> 00:02:27,640 And now we can go ahead with the bookings as well. 36 00:02:29,280 --> 00:02:34,880 So this can be a straightforward, simple search or a prompt which you can give it and it can give you 37 00:02:34,880 --> 00:02:35,800 those outputs. 38 00:02:36,000 --> 00:02:38,200 Let's see some other examples as well. 39 00:02:38,200 --> 00:02:45,280 Let's say we're looking for a specific kind of restaurant with certain niche like Chinese or Italian. 40 00:02:52,800 --> 00:02:55,120 It's giving me a list of Chinese restaurants in LA. 41 00:03:02,200 --> 00:03:06,640 In the same manner, it can give me other ones also, which we can use. 42 00:03:06,640 --> 00:03:12,040 Now, let's say this is a specific ask which I have wherein I'm saying that I want to I want to take 43 00:03:12,080 --> 00:03:19,070 out and I want tacos from a vegan restaurant in LA somewhere open after, which is open after 8 p.m.. 44 00:03:19,590 --> 00:03:24,830 Uh, can you can can it give me recommendations that are for over four stars? 45 00:03:24,830 --> 00:03:30,630 So there are few specific requirements which I have mentioned now in this and based on which it needs 46 00:03:30,630 --> 00:03:33,470 to pick the relevant restaurants and suggest. 47 00:03:36,030 --> 00:03:39,350 So top vegan taco spots for takeout in LA. 48 00:03:39,670 --> 00:03:43,230 Four star plus stars open after 8 p.m.. 49 00:03:43,590 --> 00:03:45,590 So now I'm getting all the options now. 50 00:03:45,630 --> 00:03:46,790 Now this same thing. 51 00:03:46,830 --> 00:03:54,110 If I do it on Google Google Search, it is going to give me a list of all the different types of restaurants, 52 00:03:54,110 --> 00:03:59,870 which, uh, comes closer to a taco related restaurant. 53 00:03:59,870 --> 00:04:04,310 So and that would be difficult for me to figure out which all ones meets my criteria. 54 00:04:04,310 --> 00:04:10,350 But this is much more better where I'm getting specific information, most relevant information according 55 00:04:10,390 --> 00:04:12,030 to my specific needs. 56 00:04:12,910 --> 00:04:13,910 I hope this makes sense. 57 00:04:13,910 --> 00:04:21,470 I hope you understand how we can make use of this custom GPT as well for doing restaurant reservations.