Starbucks knows how you like your coffee - big data






When we walk into Starbucks and order a drink for the afternoon, Starbucks took notes secretly. 

Starbucks got the data from its customer, every order we made will be recorded in their drive. They eliminate the least popular product, and run over the process, again and again, just to make sure that the item on the menu is the most popular items. Especially, Starbucks launched new items every season or on special events and holiday, they would want to know the most popular item so that they can launch the same product next year, or made it into the main menu's shortlist. 

These menu enhancements and grocery store product launches are more than just providing customers with their favorite products, it’s about getting its consumers to avoid other coffee brands while at home.
Anytime customer get closer to what they wants by the product offering and do it in a way that’s appealing to them through the uses that they will have in a particular occasion.


“Despite being an established restaurant concept, we do not believe there is anything quite like Starbucks in the large-cap restaurant space” said Evercore, in a research statement. Overall, through out the article, I learnt that big data can also be apply in the coffee business such as Starbucks, Starbucks used data from several consumer research firms in shaping its new grocery product line. After understanding the article, it made me think of other application of big data in the business and marketing field. 





Link of the article: https://www.cnbc.com/2016/04/06/big-data-starbucks-knows-how-you-like-your-coffee.html

Comments

  1. Amy Le May 18, 2020 at 7:57 AM

    This comment has been removed by the author.

    ReplyDelete
  2. Amy Le May 18, 2020 at 7:58 AM

    This blog is virtually totally different from what I suppose about its content from the title “Starbucks knows how you like your coffee”. I thought they use Big Data to analyze customers’ preferences and improve their drink in their physical store. Notwithstanding, this coffee chain actually uses consumer data to design its new product line through complement the habits it gleaned from its own stores. Basically, the company says it talked to its baristas about how customers ordered coffee, lattes, and tea while in Starbucks locations and culled several industry reports about at-home consumption. It used that data to create K-Cups and bottled beverages to sell in grocery stores.

    For instance, some 43 percent of the tea-drinking customers skip the sugar, according to the company, which cites a 2015 report conducted by consumer research firm Mintel. Some 25 percent of consumers don’t add milk to their iced coffee when drinking the beverage at home, Starbucks says, citing another industry report. To cater to those palates, Starbucks created two unsweetened ice tea K-Cups — Mango Green Iced Tea and Peachy Black Tea — and recently launched unsweetened and sweetened black iced coffee without milk or added flavors.

    From my point of view, Big Data has a significant benefit on Starbucks ’ performance. Initially, Starbucks launched a new product line to expand the brand that’s already owing retail and bring it into consumer’s homes. Secondly, they can almost double consumption because consumers are going to want to drink it when they go to the actual Starbucks locations and now they have the freedom to drink it at home. Thirdly, as a result, they are easier to customize which items are rolling out to grocers now and add seasonal tailored products.

    ReplyDelete

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more