Smart Framework

Our algorithms learn from your data to reveal powerful insights that help grow your business

Simple Interface

We collaborate with you to design simple and intuitive interactions with our platform

Fast Results

Proven technology that adapts to your needs and produces operational results quickly

Artificial Intelligence in Retail

We are changing retail forever with our Retail Genome™

HIVERY is an artificial intelligence company focused on helping companies generate a Return on Retail Space Investment through AI-backed smarts in product recommendations, price learning, space rationalization, and effective promotions.

Vending Analytics

Vending Analytics is the world’s first Artificial Intelligence solution
that increases returns and reduces restocking in vending machines.
It does this by recommending the right product mix, the right space-to-
sales, and the right price for each individual machine in the fleet.

Forming part of the Retail Genome, our self-learning algorithm
uses existing data to learn and make advanced fingerprint recommendations
in retail spaces. The result is ROI within six weeks.

Learn More

Latest Blog Posts

In the news

October 17, 2019

Annually exporters make a significant contribution to the NSW economy, with goods and services exports worth $89 billion in the 2017-2018 financial year.

September 20, 2019

The Export Council of Australia (ECA), along with our principal partner the New South Wales Government, and our 2019 Award Partners, is pleased to announce the finalists of the 2019 Premier’s NSW Export Awards.

May 15, 2019
Retail’s changing dynamics demand planning for the required retail selling space, not the available space. New applications deliver constant assortment editing for new products and near-real-time updates. Retail CIOs can use this research to understand current trends and identify vendors.
May 3, 2019
Franki Chamaki of Hivery (Darlinghurst, NSW, Australia) described the application of artificial intelligence in vending operations analysis to optimizing the mix of product, space and price for each machine in the field. It identifies and factors a small number of data variables to make recommendations that maximize profit.