Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to irisretailtech.com

Iris Technologies | Home · ranked by shared content topics & relevance
69match
theremnantgroup.com
Wesley James | Retail Technology Expert
1 shared topicsretail-industry
68match
thepeakbeyond.com
Cannabis Retail Technology for Dispensaries | Peak Beyond
1 shared topicsretail-industry
68match
theretailtechnologist.com
The Retail Technologist | Tom Jackson | Substack
1 shared topicsretail-industry
67match
dlsum.com
Hunan Dlsum Technology Co., Ltd
1 shared topicsretail-industry
67match
intelinov.com
Xarevision | Technology for retail
1 shared topicsretail-industry
67match
intellinnov.com
Xarevision | Technology for retail
1 shared topicsretail-industry
67match
intellinov.com
Xarevision | Technology for retail
1 shared topicsretail-industry
66match
rolfrance.com
ROL Group | Home
1 shared topicsretail-industry
66match
roltwopointzero.com
ROL Group | Home
1 shared topicsretail-industry
66match
arisimmer.com
Yantai Boqiang Network Technology Co., Ltd
1 shared topicsretail-industry
66match
fasyou.com
Yantai Boqiang Network Technology Co., Ltd
1 shared topicsretail-industry
65match
bffang.com.my
BF Fang Enterprise | Home
1 shared topicsretail-industry
65match
fashionretailtechnews.com
Fashion. Retail. Tech. News. – Headlines from around the web covering fashion, retail, ecommerce and technology.
1 shared topicsretail-industry
64match
armacorporate.com
Arma Corporate | Home Page
1 shared topicsretail-industry
64match
themidline.com
Midline Solutions Inc. | Better Comfort & Convenience
1 shared topicsretail-industry
64match
dmarktechnologies.com
Dmark technolgies – ERP for Supermarket | Retail Stores
1 shared topicsretail-industry
64match
theretailoutsource.com
T-ROC | Retail Staffing, Merchandising & Technology Solutions
1 shared topicsretail-industry
64match
ariatshop.com
Ariat International | Home Page
1 shared topicsretail-industry

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.