Basic analysis + AI analysis! An analytical service that can handle both small and large amounts.
We provide AI analysis services that cater to both small quantities (6 months to 1 year for a few stores) and large quantities (3 years for more than 5 stores) of ID-POS data. In addition to basic analysis for merchandising evaluation, we conduct analyses specific to ID-POS data, such as frequency and cross-selling. Furthermore, we incorporate an AI perspective to delve into the essence of the analysis objectives. We also offer follow-up training after the submission of the research report. Please feel free to consult us if you have any requests. 【Service Overview】 ■ Capable of handling both small and large quantities ■ Reports include basic analysis as well as AI analysis ■ Follow-up training after the submission of the research report is also available *For more details, please download the PDF or feel free to contact us.
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basic information
By utilizing the cloud: - IDs and passwords will be issued to stakeholders. - Basic analysis will be freely accessible. - Downloading necessary data in CSV format will be possible. - New analysis reports will be created. - We will also accommodate requests for the creation of analysis reports. - On-demand training utilizing the cloud will also be planned. *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Company information
First, please take a look at no+e. https://note.com/idplusi_suzuki In addition to new store information, we will sequentially upload sales reports, stock price reports, earnings announcement summaries, and further content related to on-site and practical work such as ID-POS analysis and AI shelf allocation analysis, both paid and free. Currently, we are also challenging ourselves to create content using AI, and images, document summaries, and data analyses for no+e are produced by AI. *** We have three AI algorithms: BN (Bayesian Network), PLSA (Probabilistic Latent Semantic Analysis), and DL (Deep Learning). *** This is a short paper on AI & ID-POS analysis submitted to the Operations Research Society. "ID-POS Analysis and AI: How to Apply AI to Hypothesis Testing and Utilize it in Practice" https://orsj.org/wp-content/corsj/or66-1/or66_1_25.pdf