Multiple consumers shopping for clothing in a retail store.

Retail Analytics Solutions

Altair® RapidMiner®, our data analytics and artificial intelligence (AI) platform, enables retailers, consumer packaged goods (CPG), and food and beverage companies to profile, segment, score, and visualize shopper data to better understand path to purchase, price sensitivities, inventory turnover, and more. Retailers use Altair RapidMiner to enhance efficiency and empower all users with trusted, secure data in their retail analytics solutions.

Altair was recognized by Gartner®

As A Leader in the June 2024 Magic Quadrant™ for Data Science and Machine Learning Platforms.

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Cashier running card information on a computer with a card reader and receipt in a retail store.

Data Preparation

Retailers need unrestricted access to an array of data sources to produce insights that keep them competitive. With Altair, users can quickly extract and access data regardless of format or structure. Users can access data from point of sale (POS), customer relationship management (CRM), inventory systems, shopping patterns, supply chain opportunities, product pricing, and eCommerce sites to better understand customer sentiment.

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Person using a computer with a generative AI workflow on Altair AI Studio for retail data analytics.

Machine Learning and AI

The omnichannel strategy has changed the way customers interact with retailers and CPG brands. Smartphones have also made it easier to interact with and market to customers. To effectively create targeted, personalized promotions, retailers need to understand shifting preferences and demands so they can personalize their interactions. With Altair RapidMiner’s machine learning and AI capabilities, retail analysts can get deeper insights faster by blending and analyzing data across all channels – without needing to code or rely on IT. Data is your biggest asset in the war for attention and loyalty. Get deeper customer insights with code-free and code-friendly advanced machine learning and AI experiences.

Person working on inventory management with a tablet.

Data Integration and Architecture

Unlock the full potential of your retail analytics solutions with knowledge graphs. Gather and connect information to enhance your understanding of product relationships, customer insights, and marketing strategies. Discover trends and connections that help you tailor your offerings and reach your audience more effectively. Streamline inventory management by easily tracking products and improving the shopping experience with enhanced search capabilities that help customers find exactly what they need. Transform your data into actionable insights.

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Office worker on a computer using Altair Monarch's PDF capabilities for retail data analytics.

Legacy System Modernization

Often, it’s inefficient for retailers to transform data from diverse data sources into a usable format. With Altair, retailers have better access to data from different sources and systems. Not only is it easy to access data from legacy systems like mainframe reporting or text and PDF outputs, but Altair also offers an alternative SAS language environment where users can run SAS language programs without needing to license software from SAS Institute. It also boasts real-time data visualization and a full knowledge graph toolset to bring everything together.

Featured Resources

Sporting Goods Chain Fuels Results with Data

In order to compete in the fast-paced retail industry, a chain of more than 100 sporting goods stores operating across the United States needed a more efficient and accurate method for preparing and analyzing data to enable management teams to quickly make strategic operational decisions.

Customer Stories

Knowledge Studio Spotlight Series - Fraud Detection and Prevention: A Data-Driven Approach

Fraud impacts everyone – from individual consumers to large corporations.

Traditional rules-based systems may have been effective in the past in identifying fraud, but they become ineffective and stale as fraudsters learn how to bypass those rules. It becomes even more challenging due to the large volumes of data that need to be processed and examined to detect fraud, in addition to the constantly changing tactics for committing fraud – those activities are usually hidden in large volumes of data.

Recently developed machine learning techniques are increasingly effective in detecting fraud with the advances in data systems (e.g. big data, streaming data) and computational systems (e.g. high-performance computing, GPU). As a result, it is possible to identify fraudulent patterns of behavior in data that is constantly being captured from day-to-day activities. In addition, it is feasible to address the challenges associated with fraudsters changing their tactics.

Webinars
Retail Analytics with Altair RapidMiner

Retail Analytics with Altair RapidMiner

Retailers need to understand consumers, shifts in demand, and shopping behaviors. There is a need for accurate, real-time data to understand consumers and make better business decisions. Altair RapidMiner, our data science and AI platform, helps retailers, consumer packaged goods (CPG), and food and beverage companies with profiling, segmenting, and scoring consumers. Retail analytics solutions give retail organizations insight into consumers' path to purchasing, price sensitivities, and other factors that impact the buying process.

Brochures

Increasing the Value of Your Data: Getting Started with Machine Learning

Discover the benefits and ease of adopting machine learning into your data strategy with Altair Knowledge Studio. This webinar is perfect for anyone getting up to speed on implementing and using ML/AI regardless of skill level or industry.

During this webinar, we covered the following:

  • Getting started with machine learning (ML) and artificial intelligence (AI) and best practices
  • Applying and automating no-code ML modelling
  • Understanding responsible, explainable AI (XAI) capabilities
  • Going from predictive to prescriptive analytics to make smarter business decisions
Webinars
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