我的購物車 (0)
我的帳號資料
我的訂單紀錄
我的學校教授
我的學校課程

[ Tips ] 一分鐘使用導覽

搜尋 
請輸入欲查詢之關鍵字
 
  進階搜尋
依主題瀏覽 
依商品類型瀏覽 
依出版日期瀏覽 
依作者瀏覽(姓) 
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
V
W
Y
Z
銷售排行榜 
 您所選取的商品項目

> Twiggle: E-commerce with semantic search

商品編號: 9-620-025
出版日期: 2019/08/02
作者姓名:
Greenstein, Shane;Golan, Danielle
商品類別: Entrepreneurship
商品規格: 19p

再版日期:
地域: Israel
產業: E-commerce;Technology
個案年度: 2018 -  2018

 


商品敘述:

By 2018, Twiggle, e-commerce search enhancement API, utilized advanced structuring and linguistic tools that understood shoppers'' intent and matched it with the right products. Four years after being founded Amir Amir Konigsberg (CEO) and Adi Avidor (CTO), Twiggle had developed a search enhancement that plugged into the online merchants'' existing framework. The company utilized advanced structuring and linguistic tools to build search technology that understood shopper intent and matched it with the right products. Twiggle was founded in 2014 by former Google executives Amir Konigsberg (CEO) and Adi Avidor (CTO), who believed e-tailers were losing enormous revenue due to poor search results. The team built a set of proprietary tools that created a human-like understanding of customer queries in the e-commerce search experience, using natural language processing that translated text into meaning. The team also constructed a semantic model of the e-commerce world for three product domains: fashion, home and electronics. The resulting "ontology" was a set of concepts and categories in a subject area that showed their properties and the relations between them. The Twiggle''s tools could also unlock significant online sales revenue by increasing click-through and add-to-cart rates, ultimately improving sales conversions. So far, Twiggle had secured deals with more than half a dozen large e-commerce retailers and, so far, could improve search results in three product categories: fashion, home, and electronics. The company initially targeted large direct-to-consumer e-commerce players. Yet the cofounders encountered challenges pursuing this type of customer. The customer acquisition process included lengthy, intensive face-to-face sales cycles, expensive and technologically complex proof-of-concept testing, and requests for customization. Konigsberg and Avidor wondered if they should expand their customer focus to target a wider set of smaller e-tailers that still had significant volumes of online search queries, but their search quality tended to be less robust and might be easier to improve. They also contemplated a variety of growth opportunities.


涵蓋領域:

Commercialization;Customer acquisition;Entrepreneurship;Growth strategy;Innovation;Sales;Search engines


相關資料: