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What problems were Scotts Miracle-Gro facing
Course:- Case Study
Reference No.:- EM132161256




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Case Study -

AI-based software is getting smarter at analyzing qualitative data, words, phrases, and understanding the relationship among these words. These programs are able to analyze data generated though focus groups, surveys, online forums, call centers, help desks, and social media, and are able to generate new insights. Such new insights could help businesses offer better customer service and products and services that are more appealing to their customers.

Scotts Miracle-Gro, a major provider of lawn, garden, and outdoor-living products and services, recently noticed that a large number of customers were canceling lawn-fertilizer service. Not knowing what was causing the problem, the company conducted a survey and asked customers to rank their satisfaction with the company offerings and other feedback.

Using an AI-based software called Luminoso (www.luminoso.com), Scotts analyzed the data, which yielded some interesting results. The reason customers were canceling the service was because they expected better customer service from the company. Although the words "customer service" were not cited specifically in the survey, the software was able to associate words such as "listen" or "not responsive" in order to come up with the finding. According to David Erdman, a senior analyst at Scotts, the company is now examining its customer service in order to make improvements.

Luminoso performs its analyses by accessing a large database that stores common sense knowledge and relationships (such as "if you drop a ball, it will fall") that help understand how words and phrases relate to each other

Q1: What problems were Scotts Miracle-Gro facing?

Q2: Which software was used to analyze data collected by Scotts?

Q3: How does a software tool such as Luminoso analyze data? (Use information or examples from the text to support your answer)

Q4: What are some strategic applications of software tool such as Luminoso?




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