Sydney, NSW, Australia— July 15, 2020 — HIVERY, a leader in innovative AI-driven retail assortment strategy simulation & optimization solutions, today announced that the company has received an investment of US$30 million led by Tiger Global, a New York-based investment firm. Existing investors Blackbird Ventures, AS1 Partners, and OneVentures also participated. The Series B round is part of HIVERY’s expansion strategy which looks to accelerate key hires and product development to support customer demand and international expansion beyond the US.  

Taking an average of averages or a top-down approach to assortment planning has left millions of dollars of incremental revenue on the table. HIVERY, however, knows there is a better way, and solving the unsolvable is one of the key attributes I've actively sought out in my career,” says Jason Ingargiola.

To fully leverage the value contained in data, CPG companies and retailers need to bring Artificial Intelligence (AI), specifically Machine Learning (ML), into their retail planning and execution processes. We need to transition from a data-driven world to an AI-driven world. A world that can help us augment human judgment as simply as Google Maps does today.  With the proliferation of AI/ML capabilities in our business and lives, we are now able to get closer to understanding the impact of every decision before making that decision. In this fascinating webinar, HIVERY will explore how AI/ML is being used to simulate the impact of human judgment both in our industry and beyond.  In this podcast you will learn how AI/ML:  Is used to augment and qualify human decisions  Can find the right balance of risk and reward for different retail growth strategies; all at store-level  Can rapidly and iteratively simulate different strategies to achieve your growth plans  Presented by Heather Martin, Vice President of Sales at HIVERY, and Jackie Wightman, Sales Director at HIVERY

Over the past 18 months, HIVERY has seen impressive growth working with 25 of the top 50 global Consumer Package (CPG) Brands and in over 100 categories. This has attracted new capital with the completion of the Series B round, media attention from recent TechCrunch reports and industry analysts, prompting CB Insights to name HIVERY as one of the top 100 retail tech companies in the world.  To this end, we are super excited to announce the appointments of Emily Yost and Brian Ruhaak as our newest Sales Directors.

One of the biggest value drivers for retailers is rapidly deciding and delivering store-specific SKU selection, space allocation, and planograms at scale. However, the industry continues to struggle with harnessing diverse datasets and AI-driven analytics to unlock this opportunity. Register and learn how grocers, amongst other things, can quantify the financial outcome of any assortment decisions and rapidly execute the best merchandising strategy at the store level.

With a growing list of SKUs, limited shelf space, different store characteristics, constraints, and current supply chain challenges, Merchants and Category Managers are increasingly under pressure to get assortment and planograms right and deliver them quickly. HIVERY is working with the top 25 to 50 CPG brands and in over 100 retail categories - all this and in just a few years.  So, it is safe to say we have learned much over the years working with some amazing companies.   This webinar will review the top 5 pain points we always see and how HIVERY Curate's AI offering has solved them in minutes. 

Designed for front-line users in sales, marketing, and category management, in this podcast you will learn how Machine Learning (ML) and Operations Research (OR) models are being used to augment traditional tasks from category strategy to planogram creation - all in minutes, not months. Scott and Zach share some of the best practices on how CPG manufacturers are leveraging next-generation ML and OR models to: • Simulate where new items will earn distribution in retailers down to the store level; • Maximize revenue by optimizing your brand portfolio at the store level to create space for new innovation and high performing items; • Quantify the success of existing brands and new items. Presented by Scott Anderson, Chief Revenue Officer, and Zach Simpson, Customer Success Director, at HIVERY.

Hivery, a startup that bills itself as an “optimization platform” for retailers, today announced that it raised $30 million in a Series B round led by Tiger Global, with participation from Blackbird Ventures, AS1 Growth Partners, and OneVentures. CEO Jason Hosking told TechCrunch via email that the proceeds will fuel the growth of products designed to help brick-and-mortar businesses make decisions about physical space and product displays... read more.

Sydney, NSW, Australia— July 15, 2020 — HIVERY, a leader in innovative AI-driven retail assortment strategy simulation & optimization solutions, today announced that the company has received an investment of US$30 million led by Tiger Global, a New York-based investment firm. Existing investors Blackbird Ventures, AS1 Partners, and OneVentures also participated. The Series B round is part of HIVERY’s expansion strategy which looks to accelerate key hires and product development to support customer demand and international expansion beyond the US.  

Taking an average of averages or a top-down approach to assortment planning has left millions of dollars of incremental revenue on the table. HIVERY, however, knows there is a better way, and solving the unsolvable is one of the key attributes I've actively sought out in my career,” says Jason Ingargiola.

To fully leverage the value contained in data, CPG companies and retailers need to bring Artificial Intelligence (AI), specifically Machine Learning (ML), into their retail planning and execution processes. We need to transition from a data-driven world to an AI-driven world. A world that can help us augment human judgment as simply as Google Maps does today.  With the proliferation of AI/ML capabilities in our business and lives, we are now able to get closer to understanding the impact of every decision before making that decision. In this fascinating webinar, HIVERY will explore how AI/ML is being used to simulate the impact of human judgment both in our industry and beyond.  In this podcast you will learn how AI/ML:  Is used to augment and qualify human decisions  Can find the right balance of risk and reward for different retail growth strategies; all at store-level  Can rapidly and iteratively simulate different strategies to achieve your growth plans  Presented by Heather Martin, Vice President of Sales at HIVERY, and Jackie Wightman, Sales Director at HIVERY

Shelf relevance and getting the right store clustering strategies are critical to success in the current cut-throat environment. Today Retailers, grocers, and brand marketers across the board are taking steps to streamline assortments and make the shelves ‘locally relevant’ and ‘effectively merchandised.’ Simply put: hyper-local retailing is gaining relevance and requires new thinking and solutions to achieve success.