Journal

　On Friday, June 18, we had four people from Fuji Corp. Ltd., including Executive Fumikazu ONISHI, and three people from Seki Corp. Ltd., including Information Service Business Promotion Office Manager Masahiko AKAO, who came to our school.  Through ZOOM, we also had three participants from True Data Corp., including Masahiko TORITANI, who is Second Director of Analytics Solutions Department, and President Hirotaka SEKI and Creative Director Shota IZUMI from Seki Corp.  Today, “exchange of opinions 1” was held to prepare measures.
　Based on the contents of the lecture so far, we analyzed “Purchase data of customer types,” “Purchase data of product department for each group’s customer type,” “How many times a day or a week customers visit to purchase.”  Also, based on the data of the monthly sales decomposition tree of the relevant store, we concluded “Sales decomposition tree,” “Steps for actions, thinking 5W1H concept,” “Appeal keyword.”  During this session, we asked advisers some questions to improve our ideas.  Our measures are still on the way, but we announced what we thought today in about three minutes.
　Next time, we will continue to hold an exchange of opinions 2 for the creation of measures.

　I had difficulty reading the data, but thanks to a lot of people, I was able to get the work done.　( 203  Mai WATANABE )
           

　On Tuesday, June 15th, Kyoko YANO chief director and three other staff members, Promotion Sales and Marketing Division of Fuji Inc., and Masahiko AKAO chief director and two other staff members, Information Services Promotion Division of Seki Inc., came to our school. Also, with ZOOM, Mr. KARASUDANI Deputy Director of True Data Analytics Solutions, Inc., Fumikazu ONISHI Executive Director of Fuji Inc., Hirotaka SEKI President of Seki Corporation, and Mr. SHIRAISHI, a graduate of our school and student of Tokyo University, participated in this meeting online.

　Today's lecture was given by Mr. KARASUDABU, Deputy Director of True Data Analytics Solutions, Inc., on measures to improve sales based on purchase data.  The contents of this lecture were ①Key Performance Indicator settings, ②Sales analysis tree, ③Considering customer-contact points at 5W1H, ④Steps for action,　⑤Keywords for product appeal, and ⑥·Examples of AI-based comments for applications

　We were given an example and he explained to us the sales analysis tree, the steps for action, the categories of trend loading, and keywords for product-appeal.  Then we created a sales analysis tree based on the customer profile we created so far, and thought about why, what, when, where, and how (to have customers purchase) as action steps to increase the number of purchases.

　From now on, we will further discuss "Sales Analysis Tree", "Steps for Action in 5W1H" and "Appealing Keywords" based on the purchase data of each customer type.  And we will analyze what day of the week, what time zone of the day, and what kind of policy to customers is better to increase the number of customer-visits and purchases based on the contents of the previous lectures on promotional activities. Finally, we will consider target and product department that each section has been in charge of.

　Next time, we will hold an exchange meeting with three companies where students can discuss questions while considering measures.

　I was surprised that I could read a lot of things from the purchase data, and it could be schematically represented as an analysis tree.  I would like to take advantage of what I was taught in the lecture and think about measures.   (202　Ryoya IKEDA)

　This year, Matsuyama Minami High school has been doing the Data Marketing Program cooperating with FUJI Co LTD, SEKI Co LTD and True Data Co LTD. (From 2021/03 to 2021/10)
　On Tuesday, June 8, the sixth seminar was held with four staff members from FUJI Co, LTD including Executive Fumikazu ONISHI and three staff members form SEKI Co LTD including President Hirotaka SEKI. Also through ZOOM, four staff members form True Data Co LTD including Mr. KARASUDANI and Mr. IZUMI, who were advisers of the fifth seminar, and Mr. SHIRAISHI, a graduate of our high school and student of Tokyo University.  This time, the lectures on “Retail Promotion” were done by Ms. Yano and Mr. Iwamoto.

　The contents of the lecture are following:

　“Retail Promotion” about ‘The role of Promotion about retail,’ ‘Kinds and features about Promotion,’ ‘The relationships between sales floor and Promotion,’ and ‘Measures.’

　“Targets” to ‘Announcement to Customer Types,’ ‘Categories of goods,’ ‘Which group to handle,’ ‘Reasons, features and Suggestions about customer types which we should aim at,’ ‘Current Status of Promotion at the stores,’

　The role of Promotion about retail is following:
　Acknowledge → Interest / Concern → Comparison / Consideration → Select.

　Mr. Iwamoto taught us that these approaches are very important while we are thinking about the relationships with our customers, using a procedure of falling in love as an example.
　When he talked about ”Kinds and features about Promotion,” he showed us Flyers, DMs, receipts, POP advertisements, HP, SNS, and real fruits, which are really using at a store.  And he added advantages and disadvantages about those things.
When he talked about “The relationship between sales floor and Promotion,”  he explained to us "classic," "end," "flatbed," "exhibition hall," "overhang," "menus," "flyers and sales floors," "digital devices and sale floors."  What matters most is customers have interest in our store.
　When we use some “Measures,” without enough preparation, these will not bring good results. They told us that we should think about measures carefully.

　Next time, we will have a lecture on "The contents about field work," which will be given by a staff member of True Data Co LTD.  And we will put our plans into practice at a store.

　I couldn’t read the data at all at first. However I was able to read the date because thanks to the many people who taught me and cooperated with the group. I want to do my best.　(203　Kanato ONISHI)