HIVERY logo

HIVERY

by HIVERY Technologies · Since 2015
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ActiveAvailable globallyCloud
Quick facts
VendorHIVERY Technologies
Year launched2015
StatusActive
LocationSurry Hills, New South Wales
Countries servedGlobal
Languages11
Integrations9+
Free tierNO
Free trialNO
Contact salesYES
Last reviewed: May 2026

About HIVERY

HIVERY is an advanced analytics software from HIVERY Technologies that improves retail assortment strategies. It combines AI algorithms, data analytics, and user-friendly interface so retailers and CPG brands can make informed decisions.

HIVERY is an advanced AI-driven retail analytics platform designed to help retailers and consumer packaged goods (CPG) brands optimize their assortment, space, and category strategies. By leveraging proprietary machine learning and operations research algorithms, the software enables users to simulate and qualify complex retail strategies at a hyper-local, store-level granularity. HIVERY Curate, the company's flagship solution, acts as an AI co-pilot, allowing teams to iterate faster, improve buyer confidence, and make data-backed decisions that align with both brand portfolio and retailer goals. The platform is built for scalability and transparency, supporting collaboration between retailers and suppliers to drive operational efficiency and reduce food waste. While HIVERY provides powerful predictive capabilities, it is a specialized enterprise solution focused on high-level retail strategy rather than general-purpose business management.

Pros & Cons

Pros
  • Advanced AI algorithms provide hyper-local insights at the store level.
  • Simulates complex assortment and space strategies in minutes.
  • Enhances transparency and collaboration between retailers and CPG brands.
  • Reduces food waste and operational costs through optimized inventory planning.
Cons
  • Pricing is not publicly available and requires contact with sales.
  • Requires significant store-level data to train and deploy effective models.

Features

Key features

Assortment Optimization

Uses machine learning to prescribe ideal product assortments based on merchandise constraints.

Store-Level Simulation

Predicts the impact of retail strategies at the individual store level within minutes.

Hyper-Local Planning

Tailors product offerings to meet the unique needs and constraints of individual store locations.

Category Management

Provides AI-driven insights to help retailers and CPG brands collaborate on category strategies.

Space Allocation

Optimizes shelf space to maximize sales and profitability across retail fleets.

Additional features

Demand Forecasting

Leverages historical sales data to predict future demand for products.

Revenue Growth Management

Analyzes sales data to identify opportunities for increasing profit margins.

Trade Promotion Optimization

Uses AI to simulate and optimize retail trade promotion strategies.

Inventory Optimization

Recommends restocking strategies to reduce stock-outs and minimize costs.

Consumer Insights

Uncovers shopper trends and preferences through granular data analysis.

Supplier Collaboration

Facilitates transparency and collaboration between retailers and CPG brands.

Operations Research

Applies mathematical models to solve complex retail planning problems.

Human-Centered Design

Integrates user-friendly interfaces to simplify complex data interpretation.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Global
Countries served
11
Interface languages
13
Billing currencies

Interface languages

EnglishSpanishPortugueseFrenchGermanItalianDutchRussianChineseJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇮🇳INR🇲🇽MXN🇧🇷BRL🇷🇺RUB🇹🇷TRY🇿🇦ZAR

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