Shopperts

  • Delhi, India
  • RetailSocial Commerce, FashionApparel, E-commerce, Platform

India's first Crowd based product discovery network- Shopperts, focuses on micro-job creation through Social selling.

Founded:
2016
Stage:
Early Revenues
Market:
B2C

Startup Video

Featured


New Team Member

Himanshu Jain, Tech Lead joined

Jun

2016

New Product Release

MVP version of the app was released

Oct

Jobs


Team Summary

* Dipanjan Chakraborty, Co-Founder [B.Tech (Comp. Sc, JU), Ph.D. (USA)]

* Sumit Mittal, Co-Founder [B.Tech (Comp. Sc, IIT Kharagpur), M.S. (USA)]

+ Bunch of passionate folks who take care of sourcing, user acquisition & operations.

Co-Founders have executed a startup (failed), have 20+ years of combined work experience @IBM Research, come with a strong innovation and execution background, have 45+ patent filings, 20+ press releases on mobile tech market contributions.

Team

Founding Team

Sumit Mittal


Founder

Director @ Mosix Technologies, Research Scientist @ IBM, Academic Guest @ Ecole Polytechnique Fédérale de Lausanne (EPFL), Software Engineer @ Mentor Graphics

WORK

Mosix Technologies (2014 - present)
Director

IBM (2004 - 2014)
Research Scientist

Ecole Polytechnique Fédérale de Lausanne (EPFL) (2003 - 2003)
Academic Guest

EDUCATION

Rice University
Master of Science (M.S.) • 2002 - 2004

Indian Institute of Technology, Kharagpur
Bachelor of Technology (B.Tech.) • 1997 - 2001

Delhi Public School- Noida

Dipanjan Chakraborty


Co-Founder

Product/Service Summary

India’s numero uno crowd based product discovery network, Shopperts aims at creating micro jobs across the nation. With women empowerment being a national challenge, we aim at strengthening the households by giving homemakers an opportunity to utilize social media and their social outreach to generate an income for themselves.
Being one of the strong tech players in the social selling market, our proprietary machine learning based approach enables homemakers to discover new, trendy and relevant products easily that they can sell to their network. Our approach combines human intelligence with machine learning and we solve a huge consumer problem and enable thousands of communities to discover new trendy products that they would have otherwise missed out on.

Product/Service Descriptions