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ネットアパレル
1班
概要
 PC上に自分の体形のアバターを作成
 自分の持っている服を登録してコーディネートし、

PC上で試着できる
 ショップ店員からよくログインする人へのおすす
めアイテムの推薦
価値
 お客さまとのマッチングの高さ
 返品を減らす
 家具にも対応?
 手にとって買わないと心配という人への購買支援
価値(調査)
 30代から40代の女性の場合

今まで着ていた服からシフトチェンジするの
か?
A:65%がそのままという答えが出た
歳を取るたびに体形や髪形などが変わりつつあ
るが女性はいつまでもおしゃれを楽しみたいとい
う考えがある
 こういった考えならアバターは有効かもしれない

Gooより
価値(調査)
 「メンズファッション+」

このサイトでは、年齢層にわけてどういった
コーディネートがうれているかが記してある
 カジュアルな服装からキレイめの服装までが用意

されている
 しかし、体系については細いモデルがマネキンを

していてわからない
 アバターを使えば自分の体形とマッチできる!
価値(調査結果より)
 アバターを使用することで体形に合わせてコー

ディネートができる
 体形に合わせたコーディネートの売り筋を分析す

ることができ顧客満足度があがるかもしれない
どのくらいリアルなバーチャ

ルがあれば満足か
アパレル業界について
 収益性の低下に悩まされている業界。
 その要因の一つは、価値と価格のバランスが揺ら

いでいることにある。
 プロパー価格(定価)では売れないため、セール
価格での販売が常態化してしまっている。

GMO最新インターネット業界レポートより
ユナイデットアローズ
ユナイテッドアローズ
 ネットで先行予約
 一般ユーザーのリアルな声を汲み取り、それをリ

アル店舗での商品展開に利用するという好循環が
生まれている
 EC化率の伸びが鈍化していることを指摘しまし
たが、これはEC以外、すなわちリアル店舗での
売上が伸びていたからなのです。
アンケート
 店に行く手間が省ける
 サイズがわからない
 自分と服がマッチしていないこともたまにある
アバターとして実現可能なこと
 セットで買う場合に全体的なコーディネーション

が確認できる
 360度回転させて確認できる
 今まで買ったものと合わせてコーディネーション
が考えられる
弱点
 アバターをより現実のユーザに近づけるか
 サイズの違いを補うにはどうするか
 服の大きさや長さをより現実に近付けさせること

ができるか
まとめ
 アバターを現実とよりどれだけ近付けるか分析を

細かくやらないといけない
 このICT技術として顧客分析が可能になり、リア
ル店舗での売り上げが上がる可能性はある

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Ictの価値を探求・デザインする(ネットアパレル)