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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:07,349 Forecasting model requires careful thinking 2 00:00:07,349 --> 00:00:10,605 about which approach you want to take to create the models. 3 00:00:10,605 --> 00:00:13,455 One approach to modeling is top-down. 4 00:00:13,455 --> 00:00:15,750 It takes a macro approach to forecasting. 5 00:00:15,750 --> 00:00:19,289 Here, you start with the best estimate of the larger size of 6 00:00:19,289 --> 00:00:21,960 the market narrowing down to identify 7 00:00:21,960 --> 00:00:24,960 the portion of the market that the company is serving, 8 00:00:24,960 --> 00:00:29,925 and then estimate what it will take to capture that portion of the market. 9 00:00:29,925 --> 00:00:32,520 Top-down is a macro approach, 10 00:00:32,520 --> 00:00:37,570 but it is less credible and typically adopted when there's limited historical data. 11 00:00:37,570 --> 00:00:42,679 We'll next look at an example that shows why this is less credible. 12 00:00:42,679 --> 00:00:45,215 Let's go to the weaker example. 13 00:00:45,215 --> 00:00:48,290 We start with the online grocery delivery market, 14 00:00:48,289 --> 00:00:50,274 which is about $20 billion, 15 00:00:50,274 --> 00:00:52,975 and then we start getting into the specifics, 16 00:00:52,975 --> 00:00:56,960 such as which market segments the company wants to focus on. 17 00:00:56,960 --> 00:01:02,344 Say the executive team at WeCart wants to retain the focus on the urban market, 18 00:01:02,344 --> 00:01:04,810 which is about $17 million. 19 00:01:04,810 --> 00:01:10,725 Now, the assumption is that WeCart will aim to capture five percent of this market, 20 00:01:10,724 --> 00:01:14,804 and with that we arrive at $850,000. 21 00:01:14,805 --> 00:01:17,580 Finally, based on our product pricing, 22 00:01:17,579 --> 00:01:20,079 say $4.95 per delivery, 23 00:01:20,079 --> 00:01:25,914 we can now arrive at our sale quantity estimates of about a 170,000 customer orders. 24 00:01:25,915 --> 00:01:30,020 As you can see, this is a less credible way to forecast because 25 00:01:30,019 --> 00:01:34,084 you're talking in guesses and estimates based on macro figures. 26 00:01:34,084 --> 00:01:36,859 It's harder to convince potential investors you 27 00:01:36,859 --> 00:01:40,599 can realistically achieve this forecasted revenue. 2325

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