Filter Software
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.

    Read More
    • 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

    Read More
    • 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.

    Read More
    • 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.

    Read More
    • 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.

    Read More
    • 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.

    Read More
    • 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.

    Read More
    • 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.

    Read More
    • Enterprise
    • Seoul, South Korea
    • Founded: 1938
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • MicroStrategy introduces additional ways to turn insight into impact. It helps in blending and analyzing all data and leverage third-party systems and existing investments. It helps in deploying powerful applications at scale and deliver a single version of the truth across the organization. MicroStrategy delivers the tools that developers, architects, and administrators need to simplify and accelerate processes at every level of an analytics deployment from creating the object-oriented infrastructure to building and distributing world-class intelligence applications, to monitoring and managing the full life cycle of any project. With the broadest range of reusable objects, combined with a highly scalable in-memory architecture, MicroStrategy makes it easy to deliver personalized analytics to thousands of users across the enterprise with just a small team.

    Read More
    • Enterprise
  • 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

    Read More
    • Enterprise
    • California, USA
    • Founded: 1999
    • $10BN to $50BN
    • 25,001 to 30,000
  • Infosys commissioned independent research to investigate the approach and attitudes that senior decision makers in large organizations. The adoption and use of AI technology represent an exciting leap forward for many in the retail sector. Infosys is helping the retail sector to drive customer-facing aspects of businesses as well as automate the increasing merchandized and growing supply chain backend that enables web-based sales and physical retail supply. Retailers use data analytics to inform decisions and recommendation using AI algorithms and previously unrealized data asset value. Infosys partners with retail enterprises to redefine customer experience, renew processes, and amplify the technology. Infosys digital ecosystem enables retailers to better serve customers online and in-store.

    Read More
    • Enterprise
    • Karnataka, India
    • Founded: 2018
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • Inbenta supports businesses increases the quality of customer care without sacrificing time to redundant user queries. With Inbenta, agents can focus on only the most critical issues and distracts everything else to their chatbot and semantic search tools for seamless, 24/7 online support. The Inbenta chatbot understands customers in their natural, colloquial language. Using semantic technologies, they are able to match customer queries to existing FAQs/answers with 80-95% accuracy, without relying on keywords or exact phrase matches. Inbenta delivers solutions to customer issues in real-time as they type their problems into the support request forms which allows them to solve user issues. Inbenta’s results are easy to deploy, improves customer satisfaction, decreases support costs, and increases revenue.

    Read More
    • SME
    • California, US
    • Founded: 2005
    • Below $10 MN
    • 501 to 1,000
  • Ipsoft Amelia takes insightful decisions in real time through vast amounts of data. It automates business processes resulting in rapid resolutions, satisfied users and substantial organizational savings. Aelia’s ability to learn, interact and improve over time makes it the market’s only AI that can fully understand user needs and intentions helping retailers understand customer.

    Read More
    • SME
    • New York , USA
    • 1,001 to 5,000
  • Wipro enables process and technology transformation and provides innovation ecosystem that allows retailers to experience new technology and business paradigms. Many of the top retailers across the world leverage Wipro’s technological and retail expertise to gain agility and reimagine shopping journeys deploying our capabilities in design thinking, analytics, system integration, product engineering, artificial intelligence, cybersecurity, and business support. Wipro provides retail clients with the ability to initiate and maintain meaningful real-time conversations with end customers. Wipro's solutions leverage user-centric design, hyper-personalization, and associate centric tools. Its solutions enable business processes and underlying systems to enable dynamic pricing and promotions, analytics and cybersecurity.

    Read More
    • Enterprise
    • Karnataka, India
    • Founded: 1945
    • $5BN to $10BN
    • 1,00,001 to 5,00,000
  • The company offers platforms to cater the need of retailers with solutions powered by AI technology and are classified as SCALE, Evolutionary Intelligence, and deep learning. Scale platform is a unique network of distributed computing that helps in solving critical problems, creating new products, and patent innovative AI techniques.

    Read More
    • Enterprise
    • 501 to 1,000
  • Nuance has the technology to offer shoppers on any channel the same level of helpful customer service they expect when they interact with staff in your store. The company offers omnichannel customer experience approach, which prevents cart abandonment and increases customer engagement no matter how they shop and where they are in the process. Nuance services deliver self-service solutions that improve the customer experience while lowering costs. The company helps in increasing order value and decreasing abandonment, it also helps in decreasing operational cost.

    Read More
    • Enterprise
    • Massachusetts, US
    • Founded: 1992
    • $1BN to $5BN
    • 10,001 to 15,000
  • Happiest Minds’ Retail Solutions and Services combines with retail analytics and drives Digital Transformation. The retail solutions have enriched the end-customer experience and improve business efficiency through an integrated set of disruptive technologies like mobility, big data analytics, security, cloud computing, social computing. Happiest Minds Pricing and merchandising Cognitive Solution offers automated and data science-driven approach for price review and retail price management across multiple channels to large retail enterprises. These solutions enable retailers to maximize sales, reduce manual effort, drive profits, and build customer trust by leveraging powerful insights.

    Read More
    • SME
    • Karnataka, India
    • Founded: 2011
    • $51MN to $100MN
    • 1,001 to 5,000
  • The company is among the world leaders in the visual computing business. The company has a wellestablished geographic footprint and mainly deals with major Original Equipment Manufacturers /Original Design Manufacturers (OEMs/ODMs) all over the world. In addition to this, the company gained a first mover advantage with the launch of DGX-1, a complete integrated system for deep learning technology. The system includes deep learning software and hardware, which can be used for developing new deep learning technologies/products.the company offers end-to-end hyper-scale data center platform. The platform is designed to accelerate the machine learning workloads of web-services companies. This platform includes 2 accelerators—the first is used to innovate and design new deep neural networks, while the other accelerator is a low-power accelerator used for deploying these neural networks across the data center.

    Read More
    • Enterprise
    • California, USA
    • Founded: 1993
    • $10BN to $50BN
    • 501 to 1,000
  • Dynamic Yield is an AI-powered omnichannel personalization engine, serving a portion of the world's driving brands increase income by automatically personalizing each customer interaction across the web, mobile web, mobile apps, and email. The company’s unique technology combines data and activation in a single platform, allowing enterprises to onboard data from every touch point along the consumer journey and take instant action via personalization, recommendations, automatic optimization, and real-time messaging.

    Read More
    • Enterprise
    • 501 to 1,000
  •  Narrative Science allows customers to understand and act on key business metrics, helping in making better decisions and focusing on higher value tasks. Using AI-powered technology, Narrative Science surfaces explains and contextualizes what is most interesting and relevant. Narrative Science analytical framework analyses data to discover valuable information and surfaces only the most meaningful insights.

    Read More
    • SME
    • 501 to 1,000
  • Manhattan predicts retailers establishing a presence, dynamic innovations, wider adoption of artificial intelligence and AR/VR technologies. The company is an omnichannel customer service which provides services for the retail industry. It provides retailers to meet the demands of the customers with a personalized, streamlined and consistent service experience irrespective of the channel. The company focuses on artificial intelligence and has the potential to have a huge impact on customer service expediency, particularly where it can plug into a retailer’s data on enterprise inventory and its customers.Manhattan’s new solution leverages the latest in RFID technology to help stores improve inventory accuracy, enhance operations and fulfill orders with better level of efficiency

    Read More
    • Enterprise
    • 501 to 1,000
  • Optoro offers end-to-end reverse logistics solution that helps retailers process, manage, and sell returned and excess inventory. Optoro’s software tracks every item to help retailers make better business decisions. Real-time, robust reporting ensures full visibility on product performance, inventory management, sales efficiency, and other metrics to help optimize inventory planning, warehouse design, and other business functions. Optoro’s software platform helps retailers optimize the management of returned and excess inventory in a more efficient and cost-effective way, maximizing recovery value, enabling consumers to get great deals, and reducing environmental waste.

    Read More
    • Enterprise
    • 501 to 1,000
  • Appier is a customer engagement platform that enables to engage audience based on customers behavior inside and outside of app or website environment. It helps in leveraging artificial intelligence to increase conversions across devices on marketing owned channels. It is a data science platform that unifies and enriches existing customer data to help better understand the audience and run AI models easily to predict their future actions. The company helps in predicting customer behavior and cost-effective bidding price based on user behavior.

    Read More
    • Enterprise
    • 501 to 1,000
  • The company has developed an artificial intelligence system based on reinforcement learning which delivers businesses to turn around declining or flat same-store sales in retail, and finance companies looking to minimize growing fraud and credit losses. They have developed a new category of artificial intelligence which empowers category management and delivering disruptive financial benefits to retails.

    Read More
    • Enterprise
    • Concord, Canada
    • 501 to 1,000
  • ViSenze offers enterprise solutions facilitating the search by image, product recommendation, automated product tagging, and out of stock alternatives. The company is focusing on deep learning and computer vision technologies to develop a fully automated and scalable visual technology.

    Read More
    • Enterprise
    • 501 to 1,000
  • 6sense’s mission is to strengthen marketing and sales teams with 100 percent visibility into buyers end; who they are, needs and timing. 6sense offers marketers with omnichannel connectivity and visibility from brand to demand to revenue. 6sense forecasts power all downstream sales and marketing systems with intelligence on who is in the market to buy, what products, when they will buy and where they are in the buyer’s journey. 6sense allows intelligent growth resulting in new pipeline, higher marketing to sales conversions, larger opportunity size and increased sales productivity and effectiveness with teams focusing on the right “in-market” buyers with a need now.

    Read More
    • Startup
    • California, USA
    • Founded: 2013
    • $11MN to $50MN
    • 101 to 500
  • AgilOne creates authentic omnichannel customer relationships that maximize lifetime value. AgilOne's restores relationships with companies with once customers before channel-specific marketing silos got in the way. Through a single view of customers across all channels, the company's predictive models help to understand customer behavior and real-time APIs to orchestrate personalized experiences across all touch-points. The AgilOne Customer Data and Engagement Hub supports more than 150 brands worldwide, including TK Maxx, Lululemon, JoAnn Stores, and Tumi.

    Read More
    • Startup
    • California, USA
    • Founded: 2006
    • $11MN to $50MN
    • 101 to 500
  • GoodData enables large retail brands to share valuable analytics with district managers and suppliers in order to improve the location-specific customer experience, increase operational efficiencies across every location and enhance visibility into sell-through rates with an increase in revenue generated from each store and maximize gross margin return on inventory investment for the retail brand.

    Read More
    • Startup
    • California, USA
    • Founded: 2007
    • $11MN to $50MN
    • 101 to 500
  • Qlik helps in getting data out of silos. It helps in combining all the data and generates valuable insights, and to transform retail operation to be faster, smarter, and more customer-centric. Qlik’s is a data analytics platform, which helps in combining all the shopping data across channels to gain a complete view of customer buying habits and preferences.

    Read More
    • Enterprise
    • Pennsylvania, USA
    • Founded: 1993
    • $500MN to $1BN
    • 1,001 to 5,000
  • Sisense gives retailers a powerful business intelligence solution that allows any user to easily analyze, and visualize heaps of data from limitless sources to instantly get the visibility and answers needed to make smarter, faster business decisions. It helps in reducing the cost and maximizing profit.

    Read More
    • Startup
    • New York, USA
    • Founded: 2004
    • $101MN to $500MN
    • 501 to 1,000

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) |

TOP REVIEWS

Looking for Artificial Intelligence in Retail? Get help

BE THE FIRST ONE TO REVIEW

Share your experience with potential buyers.