Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Using simulation technology, a procedure is proposed for a big data-driven service-level analysis for a real retail store. First, a data generator is designed to randomly select a sample of an expected number of customers or sampling data on a certain day from a large-scale dataset of sales predefined. Second, the clerk schedules are inputted into a data table created using Excel. Finally, simulation modeling mimics the service process of the retail store to examine and analyze the customer service level based on the selected data and the inputted clerk schedules. The proposed procedure for big data-driven service-level analysis shows the relations beten the influencing service-level elements beten the number of customers coming into stores, the frequency of customers, and the average customer service time. The procedure is generic and can easily be used to examine the service level in the remote past or to analyze and forecast the future.
['Rie Gaku', 'Soemon Takakuwa']
I am writing a research paper on a idea Big data-driven service level analysis for a retail store
[{"from": "human", "value": "I am writing a research paper on a idea Big data-driven service level analysis for a retail store"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Using simulation technology, a procedure is proposed for a big data-driven service-level analysis for a real retail store. First, a data generator is designed to randomly select a sample of an expected number of customers or sampling data on a certain day from a large-scale dataset of sales predefined. Second, the clerk schedules are inputted into a data table created using Excel. Finally, simulation modeling mimics the service process of the retail store to examine and analyze the customer service level based on the selected data and the inputted clerk schedules. The proposed procedure for big data-driven service-level analysis shows the relations beten the influencing service-level elements beten the number of customers coming into stores, the frequency of customers, and the average customer service time. The procedure is generic and can easily be used to examine the service level in the remote past or to analyze and forecast the future."}]