Machine learning is being used on a large scale in the retail industry. Retail organizations have huge amounts of data, such as everyday transactions, customer information, preferences, product information, and sales. This huge data has to be processed and analyzed for key insights and to enhance and fasten the decision-making process, thus helping organizations to outline strategies for new product development and revenue optimization. Marketing campaigns and promotions are planned according to the customers and industry trends. With the help of machine learning algorithms, the retailer can predict the data to renew pricing decisions to match the interest of customers. Retailers are capable of adjusting their value chain adequately, which eventually permits them to deliver the right margins. The retail sector uses machine learning, majorly for inventory planning, recommendation engines, upsells and cross channel marketing, segmentation and targeting, and others (customer ROI and lifetime value and customization management).

Last updated on: Nov 13, 2019

Machine Learning Software in Retail and Consumer Goods Quadrant

Comparing 38 vendors in Machine Learning Software across 114 criteria.

Find the best Machine Learning Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Machine Learning Software tools.
  • Breadth and Depth of Product Offerings
    • Products/Solutions Offered
    • licenses
    • Services
      • Professional Services (Consulting & Training)
      • Managed services (Support & Maintenance)
    • Organization Size
      • Small and Medium Enterprise (Revenue< 100 Million)
      • Large Enterprises (Revenue> 500 Million)
  • Product Features and Functionality
    • cutomer satisfaction
    • Types of Offerings
      • Software Tools
      • Platform
      • Services
    • Product Features
      • Data visualization and exploration
      • Model Evaluation and Interpretation Tools
      • Modeling APIs
      • Machine Learning Algorithms
      • Model assessment and scoring
      • APIs for Batch and Real-time Predictions
      • Data Transformations
  • Focus on Product Innovation
    • Product Innovation
    • R&D Spend
    • New Product Developments
      • Product Upgradation
      • New Product Launches
  • Product Differentiation and Impact on Customer Value
    • Customer Feedback Frequency
    • Solution Scalability
  • Product Quality and Reliability
    • Level of Support
    • Customer Redressal Mechanism/Program
    • services
      • Technical Support
      • Customer Support
      • Sales Support
      • Others, please specify
    • Pre Sales Support
      • Software Requirement Specification (SRS)
      • Product Demos
      • Proof of Concept
      • Dedicated Account Manager (DAM)
    • Channel for Delivery of Support Services
      • On-Site Support
      • Remote Support

TOP VENDORS (17)

  • 1

    IBM Watson machine learning software helps enterprises to use their data to create, train, and deploy self-learning models. It also helps users in building analytical models and neural networks. IBM data science experience is a cloudbased, social workspace that helps data professionals to consolidate, create, and collaborate across multiple open sources tools, such as R and Python. The company's machine learning software makes it easy and cost-effective for the users to implement AI and machine learning assets in public, private, hybrid or multicloud environments. It facilitates the users to decentralize and distribute their model training by using Apache Spark to train machine learning and deep learning models on structured and unstructured data, whether it resides in relational databases, Hadoop and object storage.

    Read More
    • Enterprise
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • 2

    SAS best machine learning software offers major features like automated model tuning, powerful data manipulation and management, flexible web-based programming environment, integrated text analytics, model assessment and scoring, and modern statistical, data mining, and machine-learning techniques. Their best machine learning software facilitate the end-to-end data mining and machine learning process with a visual and programming interface. It also boosts analytics teams of all skill levels with a simple yet powerful and automated way to tackle all tasks in the analytics life cycle.

    Read More
    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • 3

    Azure Machine Learning is a fully managed best machine learning software service for advanced analytics in the cloud. It enables enterprises to build advanced analytic web services quickly and eradicate much of the heavy lifting associated with deploying machine learning in modern data-driven applications.

    Read More
    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • 4

    The major business functions where FICO uses AI and best machine learning software are financial crimes, marketing, cybersecurity, customer management, threat detection, and strategic planning. FICO has more than 130 patents in analytics and decision management technology, including 70 in AI. FICP has introduced new explainable artificial intelligence toolkit (xAI Toolkit) which meets customers’ increasing demand for industry-leading artificial intelligence. This solution enhances decision performance by integrating predictive and prescriptive models directly into real-time business operations to create faster, more impactful business outcomes. It also offers Intuitive end user experience and delvers direct and immediate access to data and insights dynamically.

    Read More
    • Enterprise
    • California, USA
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
  • 5

    Oracle's best machine learning software enable data scientists and analysts to work in collaboration to explore their data visually and design new analytical methodologies in the Autonomous Data Warehouse Cloud. Oracle's optimum, parallel and scalable in-Database implementations of best machine learning software algorithms are exposed via SQL and PL/SQL using Apache Zeppelin-based notebook technology. The company's best machine learning software notebooks facilitate teams to collaborate to build, assess, and deploy machine learning solutions, while improving data scientist productivity. They also focus on ease of use and simplified machine learning software for data science from preparation through deployment all in the Autonomous Database.

    Read More
    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 6

    Dell EMC is designed to meet customer needs no matter what they are in their Artificial Intelligence (AI) journey. It delivers a strong portfolio of modern infrastructure and AI-enabled IT solutions, including dedicated AI consulting services. Dell EMC solutions allow technology firms to start small and grow according to their AI use cases, expertise and business goals. Dell Precision workstations support in deploying and managing cognitive technology platforms, including Machine Learning (ML) Software, Artificial Intelligence (AI) and Deep Learning (DL). Dell Precision Optimizer uses Machine Learning Software developed on new, powerful Dell Precision workstations to enhance system reliability with automated updates and provide analytics to address bottlenecks.

    Read More
    • Enterprise
    • Texas, USA
    • Founded: 1984
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • 7

    With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI. Recently, the company introduced Driverless AI, which helps to prepare data, calibrate parameters, and determine the optimal algorithms for tackling specific business problems with machine learning software. Furthermore, it automates feature engineering, the process by which key variables are selected to build a model.

    Read More
    • Enterprise
    • California, USA
    • Founded: 2012
    • Below $10 MN
    • 101 to 500
  • 8

    Built on a hardware foundation that includes computing, memory, storage, and network, these platforms include an optimized, scalable software stack for predictive analytics.

    Read More
    • Enterprise
    • California, USA
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
    • Startup
    • Zurich, Switzerland
    • Founded: 2008
    • Below $10 MN
    • 1 to 50
    • Startup
    • New York, US
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
    • Startup
    • Massachusetts, US
    • Founded: 2006
    • $11MN to $50MN
    • 51 to 100
    • Enterprise
    • San Francisco, California, US
    • Founded: 2010
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • California, USA
    • Founded: 2000
    • $500MN to $1BN
    • 1,001 to 5,000
    • Enterprise
    • California, USA
    • Founded: 1997
    • $1BN to $5BN
    • 5,001 to 10,000
    • Startup
    • California, USA
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Enterprise
    • California, USA
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • 17

    The Cambridge based company Luminoso combines natural language with artificial intelligence to analyze text-based data. The machine learning software is the perfect example of no-code text analytics. The software can analyze any text-based data from call transcripts, open-ended survey responses, product reviews, chatbot or live chat transcripts, emails, articles, to NPS open-ends. It can process data in 15 languages including Korean, Chinese, English, Dutch, Italian, German, French, Russian, Swedish, Portuguese, Spanish, Arabic and Japanese.

    Read More
    • Startup
    • Massachusetts, US
    • Founded: 2010
    • Below $10 MN
    • 1 to 50

TOP REVIEWS

Looking for Machine Learning Software? Get help

BE THE FIRST ONE TO REVIEW

Share your experience with potential buyers.

...

Marie Stelle

Engagement Partner - 360Quadrants.com