2018年度人工知能学会全国大会(第32回)

講演情報

口頭発表

一般セッション » [一般セッション] 3.データマイニング

[3L1] データマイニング-予測

2018年6月7日(木) 13:50 〜 15:30 L会場 (3F サファイアホール飛鳥)

座長:大澤 昇平(東京大学)

14:50 〜 15:10

[3L1-04] 顧客行動分析を活用した売上予測

〇山浦 佑介1、山浦 佑介1、大西 健司1 (1. 富士ゼロックス株式会社)

キーワード:売上予測、顧客行動分析

In this paper, we explore the utility of customer behavior analysis of un-structured video data for improving sales forecasting, which is an important task for supply chain management in retail store. To the best of our knowledge, this is the first work that introduces the customer behavior analysis of monitoring video data to sales forecasting task. We conducted a series of experiments in a physical retail store and demonstrated that integrating video-based customer behavior analysis into a conventional sale forecasting model results in a performance improvement.