Artificial Intelligence in Retail in Middle East and Africa

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Comparing 32 vendors in Artificial Intelligence in Retail across 118 criteria.
  • Microsoft has carved its way into niche space for proviing AI solution for the retail market by delivering the Cortana Intelligence Suite.The suite is instrumental in offering cost-effective tools and services to the retailers which are looking to gain insights from the data generated from various applications deployed in their systems. The suite utilizes advanced analytical algorithms, such as predictive analytics, to offer real-time insights into the data generated by applications, POS, IoT devices, and social media.

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    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • Google showcases strong AI product portfolio that can cater to various demands of the retail industry. AI offerings are clubbed under Google.ai that includes applied AI, tools, and research.Google offers Google Cloud Platform to recognize trends in large datasets from diverse sources, effective and secure consumption models, and archive a large amount of sensitive data.Google launched AllO smart messaging app for eCommerce application. The AIIO functions uses deep learning technology for various applications such as NLP and voice recognition

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    • Enterprise
    • California, USA
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • IBM brings one of the most innovative solutions to the market. Watson, is an AI technology by IBM Watson which uses NLP and machine learning to reveal significant insights from large volumes of unstructured data. Using the Watson suite of APIs, retailers can receive immense benefits by segmenting customers individually and personalizing their shopping experience. This ultimately results in frequent shopping escapades and thereby ensures higher customer loyalty.IBM Watson Tone Analyzer service provides textual emotion detection capability to understand user’s emotional state and improve interaction.

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    • Enterprise
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • Amazon’s Alexa is a virtual assistant that helps in easy interaction with devices using voice. Customer interaction with Alexaincreases with the increasing adaptation of speech patterns, personal preferences, and vocabulary.Amazon AI services for developers bring automatic speech recognition, visual search and image recognition, machine learning technologies, and natural language understanding. The company’s AI approach comprises AI framework, AI platforms, AI services, and AI infrastructure.

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    • Enterprise
    • Washington, USA
    • Founded: 1994
    • More than $100 BN
    • 5,00,001 & more
  • Intel platform uses artificial intelligence and human capability to bring satiating, convenient, and seamless customer experiences.Intel has developed various SDKs and hardware devices to meet the demand of the AI market.Intel provides autonomy to the customer by deploying its AI enabled solutions.Intel platform uses artificial intelligence and human capability to bring satiating, convenient, and seamless customer experiences.

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    • Enterprise
    • California, USA
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • SAP offers AI, machine learning, and analytics-based solutions to help retailers in decision-making on key parameters, such as price and promotion optimization, loss prevention, demand forecasting, merchandise and assortment planning,POS analysis, and product affinity metrics analysis.The company offers its solutions and services to retailers who want to gain operational efficiencies and minimize expenditure costs.The SAP Customer Activity Repository application accumulates multichannel customer and POS data in real time and analyses this data to offer significant insights that help retailers gain a competitive market advantage.

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    • Enterprise
    • Weinheim, Germany
    • Founded: 1972
    • $10BN to $50BN
    • 75,001 to 1,00,000
  • Oracle has introduced its AI capabilities for software testing, clinical development, retail, and various other business function. The company has launched Oracle Cloud CX cloud suite, which includes capabilities of chatbot.This virtual assistant will be helpful to the vendor is improving their customer's experience while shopping along with assisting the sales support.

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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • Samsung solutions help retailers improve the entire customer journey from pre-purchase engagement through a transaction to after-purchase fulfillment. The company uses technologies which let retailers know, influence, and manage their customers better. Samsung helps in making effective marketing decisions and enhancing store management based on customer behavior. The company uses the best features of data analytics to reach audiences and specific customers. Samsung’s mobile-based Omni-Channel Solution improves customer satisfaction, in addition, helps in improving store employees’ productivity while delivering store- and chain-level efficiencies.

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    • Enterprise
    • Seoul, South Korea
    • Founded: 1938
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • Salesforce offers its AI services through its well know Salesforce Einstein platform. This platform is a collection of services that bring AI competencies in Customer Success Platform. Additionally, it is built on machine learning, predictive analytics, NLP, and smart data discovery.This offering would automatically alter according to the customer preferences for every customer.has capabilities to self-tune, learn and become smarter with each interaction and additional data. In order to specifically cater to the financial market

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    • Enterprise
    • California, USA
    • Founded: 1999
    • $10BN to $50BN
    • 25,001 to 30,000

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Artificial Intelligence in Retail tools.
3.8
3.76
3.73
  • Geographic Footprint

    • Direct presence - North America

    • Direct presence - Europe

    • Direct presence - Asia-Pacific

    • Direct presence - Middle East and Africa

    • Direct presence - Latin America

    • Sales offices/development centers - North America

    • Sales offices/development centers - Europe

    • Sales offices/development centers - Asia-Pacific

    • Sales offices/development centers - Middle East and Africa

    • Sales offices/development centers - Latin America

    • Channel Partners - North America

    • Channel Partners - Europe

    • Channel Partners - Asia Pacific

    • Channel Partners - Middle East and Africa

    • Channel Partners-Latin America

  • Breadth of Applications Served

    • Are you planning to add any new applications in your present offerings

    • Which of the following financial sector feature does your company cater to?

      Product Recommendation | Customer data analysis | Visual Search | Virtual Assistant | Price Optimization | Payment Services mangement | Inventory and Demand Planning | Others - financial sector feature |
    • Which of the following constitutes your partner ecosystem?

      Distributors | System Integrators | Value Added Resellers (VAR) | Consultants | OEMs | Managed Service Providers | Others please specify - constitutes your partner ecosystem | Talent Availability | Implementation Partners |
    • Segmental Revenue

      Programmatic Advertising | Location-Based Marketing & Analytics | In-Store Visual Monitoring and surveillance | Market Forecasting | Predictive Merchandising | Others- FY2016 revenue |
  • Channel Strategy and Fit

    • Distributors spread across the globe

    • Strategy to address the un-catered and new target audience

  • Viability

    • total revenue for FY2016

    • The expected revenue growth rate (in %) from FY2016 to FY2017

    • Retail customers

    • Regional Revenue

      North America | Europe | Asia-Pacific | Middle East and Africa | Latin America |
  • Effectiveness of Organic Growth Strategy

    • New AI in Retail products have you launched in the last two years

    • New customers have you acquired in the last two years

    • Expansion Strategy

  • Mergers and Acquisitions Served

    • Mergers and acquisitions have you undertaken (specific to AI in Retail in the past two years

    • Joint ventures have you undertaken (specific to AI in Retail in the past two years

    • Partnerships and collaborations have you undertaken (specific to AI in Retail in the past two years

  • Product Offerings

    • Solutions/tools/products

  • Product Features and Functionality

    • Customer Satisfaction

      Loyalty programs | Discounts/Offers |
    • Customers Satisfaction

    • License Used

      Professional | Enterprise |
    • Solutions/Services offered

      Software Tools | Platform | Consulting & Training | Support & Maintenance | Product Management |
    • Offerings

      Services |
    • End User

      Small Enterprise (Revenue< 100 Million) | Medium sized enterprises | Large Enterprises (Revenue> 500 Million) |
    • Core features

      Supply chain management | Pricing and Promotion | Customer Intelligence | Demand forecasting | Marketing, Advertising and Campaign Management |
  • Product Differentiation

    • Product Enhancement

  • Product Quality and Reliability

    • Levels of support (such as silver, gold, and platinum)

    • Customer redressal mechanism/program

    • Types of Product Innovation

      Customer feedback/ project upgradation | R&D | Level of support |
    • Type of Retail Support

      On-Site Support | Remote Support |
    • Support Services

      Technical Support | Customer Support | Sales Support | Others (Please specify) |
    • Product Enhancement Development

      Product Upgradation | New Product Launches |
    • Pre-sales Activities

      Software Requirement Specification (SRS) | Product Demos | Proof of Concept | Dedicated Account Manager (DAM) |

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