Our vision

Unleash the transformational power of data

Our history

An unconventional beginning


The beginning

HIVERY emerged from a unique challenge in the Coca-Cola Founders Program: How to improve vending machine sales while reducing labor?

The problem was evident in hospital vending machines that were uniformly stocked, leading to frequent stock-outs and increased costs; instead of traditional retail research methods and datasets – which were very limited at best, HIVERY utilized just sales data with proprietary machine learning and applied mathematics algorithms were developed in collaboration with CSIRO's Data61, Australia's national science agency. The algorithms could predict sales for each item in every machine and recommend the ideal space allocation. This enabled tailored restocking strategies and revenue optimization. The success of this approach led to the development of HIVERY Curate, which leverages machine learning models with store-level data, similar to Netflix's recommendation system.

At HIVERY, we are revolutionizing how consumer package product (CPG) brands and retailers validate and collaborate on assortment and space decisions.



The success of this approach led to the development of HIVERY Curate, which leverages machine learning on store-level data, similar to Netflix’s recommendation system.



Today, HIVERY operates across over 110 retailer-category combinations and continues to expand. Our advanced retail analytics enhances decision-making and provides actionable insights.

Our Difference

It all starts with store-level data

HIVERY is a pioneer of next-generation hyper-local retail assortment strategy simulation & optimization analytics. Our primary goal is to assist both retailers and consumer package goods (CPG) brands adopt a dynamic category and assortment planning approach. By doing so, we enable them to respond to shopper trends and insights more quickly while also reducing food waste.

Our mission: Transform decision-making in commerce for the world's retailers and brands.

Our mission is supported by our belief that Data Has A Better Idea™, and we leverage retail-specific store-level data to present this idea. Shoppers vote with their wallets in stores, and we make this visible to retailers and CPG brands. This enables them to make decisions and deliver locally relevant, effectively merchandised, and operationally efficient plans with retailer-supplier transparency and collaboration at scale. With AI as your co-pilot, you can enhance your decision-making by qualifying any category strategy and iterating faster.

We are proud to be recognized as one of the world's top 100 Retail Tech companies by CB Insights and named to Fast Company’s list of the World's Most Innovative companies. These accolades reflect our commitment to delivering innovative solutions that drive results for our clients.

Our Belief

Data Has a Better Idea™

At HIVERY, our core belief is that Data Has A Better Idea™. We view data as a deep well of untapped wisdom and ideas that, if properly harnessed, can lead us to make superior decisions. We utilize proprietary machine learning and applied mathematics algorithms to tap into this wisdom. These advanced algorithms augment human intelligence with enhanced logic, efficiency, and endless computational capacity. As innovators in next-generation assortment strategy simulation and optimization analytics, we are committed to leveraging data's potential. Our philosophy is as simple as it is profound: Data Has A Better Idea™. This belief continues to fuel our journey forward.

Part of our belief in data's power is its potential to craft hyperlocal retail strategies. We envision a retail future deeply rooted in understanding the nuances of store-level insights. Hyperlocal retailing is based on the philosophy of tailoring product offerings to meet individual stores' unique needs and constraints. This approach helps us gain new and precise insights on shoppers, assortments, and stores, tailoring strategies that align.

By optimizing product assortments to resonate with local preferences, retailers and (CPG) brands can enhance the shopping experience, increasing customer satisfaction and loyalty. Our hyperlocal approach is about having the right products in the right stores, irrespective of the number of clusters a retail store chain operates within.

In essence, hyperlocal retailing is about getting closer to shoppers. With shoppers voting with their dollars daily, our technology helps retailers and CPG brands reveal this insight and recommend actions that cater to their needs.

Our Approach

Discover, pilot, deploy

A methodology that works

We developed a simple approach to solving complex problems, employed it to build our business, and now you can use it to build yours. It’s a combination of ideas borrowed from a variety of disciplines, all focussed around the concept of human-centered design.

And it works incredibly well.



In the discovery phase, we thoroughly analyze the business objectives, challenges, and opportunities, along with the available data, to identify the crucial objectives that will lead to success.



Our team collaborates to create and train models that undergo live experiments to confirm their value for our clients. Our primary goal is to assist in the preparation of a solid business case for scaling operations.



We aim to seamlessly integrate our technology into your everyday business operations. Our team will formulate a comprehensive operational plan for full deployment, providing continuous support throughout the process. To ensure continuous improvement and alignment with your business goals, we conduct quarterly reviews and adjustments.


What does this all mean?

There’s a certain sense of gratification that comes from seeing our efforts recognized both close to home and on a worldwide scale. While we don’t necessarily seek out acknowledgment, it’s comforting to be reminded that our successes haven’t gone unnoticed.

CB Insights Retail Tech Top 100 2022 & 2023