AiHello

  • Delaware, USA
  • AIMachine Learning, AnalyticsBusiness Intelligence, Big Data, E-commerce, SaaS, Platform

AiHello uses deep learning to help online sellers offer same day delivery service

Founded:
2016
Stage:
Early Revenues
Market:
B2B

Startup Video

Featured

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Meet AiHello – Analyse your eCommerce intelligently and efficiently | Microsoft

Feb 03, 2017

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Using Spark for ecommercce | Intel

Intel is our deep learning partner and provides us with deep learning cloud platform

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Predicting Amazon Sales | Medium.com


Founded

Market research & product conceptualization.

Aug

2016

New Product Release

Alpha launched

Oct

New Product Release

Beta launched with 20 Amazon Merchants

Jan

2017

Customer

Scale up phase

Jul

Jobs


Team Summary

Ganesh is a Senior ex-IBMer with extensive experience in machine learning and predictive analysis.

Siva has consulted for Amazon in their BigData and Hadoop technologies.

Team

Founding Team

Ex -IBM senior IT

WORK

AlphaSigma (2012 - present)
Founder

Australia Post (2012 - 2014)
Java Consultant

NEC (2012 - 2012)
IT Consultant

EDUCATION

Fergusson College
Bachelor's degree • 1996 - 1998

Matt Ward


Co-Founder

Founder ​@AiHello​ Founder ​@FBA ALLSTARS​ | Distinguished Amazon Podcaster Founder ​@The Syndicate​ Angel Group Exit ​@Undisclosed Ecommerce Company​ - $8k to 1M in 1yr • Investor ​@Acre Designs​, ​@CityFALCON​

WORK

AiHello (2017 - present)
Co-Founder

itsmattward.com (2017 - present)
Startup Advisor | Business Mentor

seedschool.io (2017 - present)
Co-Founder, Venture Partner

EDUCATION

Georgia Institute of Technology
Bachelors • 2009 - 2014

Siva Kumar


Co-Founder

Big Data Analyst at Amazon.com

Team Members

Hoang Nguyen

Hoang Nguyen


Frontend Developer
Ishan Bhardwaj

Ishan Bhardwaj


Data Scientist

Product/Service Summary

AiHello helps online sellers in developing countries offer same day shipment across their warehouse locations. We use deep learning to forecast sales of inventory by geography. This predictions gives sellers a head start to pick, inventory and package their shipment before an order is really placed.

Product/Service Descriptions