Quick Summary

This article compares top AI-powered retail analytics tools like SAS Viya, Kyvos, and WisdomAI, focusing on their key features, strengths, and integration capabilities. While each platform offers unique benefits, WisdomAI stands out for its ease of use, proactive features, and AI-driven insights, making it ideal for retailers seeking quick, actionable data-driven decisions. Check our blog for more valuable reviews and recommendations. 

Want to Make Smarter Decisions with AI Healthcare Analytics?

A lot happens in a retail workflow, from inventory management to customer interactions. All of this generates data in various forms and sizes, often leaving businesses overwhelmed, even with traditional BI tools.

AI analytics tools for retail are built to address these challenges. They unify data from multiple sources, analyze it, and transform it into actionable insights that streamline your business processes. 

In this WisdomAI article, we’ll highlight the best AI retail analytics tools, explaining what each offers and how they can drive real improvements for your business.

Why Listen to Us?

At WisdomAI, we help organizations and businesses unlock the full potential of their data with AI analytics. For example, a global B2B tech leader used our platform to transform their procurement process, gaining real-time insights and optimizing supplier management. We understand what retail businesses need from analytics tools, and in this article, we’ve shortlisted the best options to help you achieve similar results.

What Are AI Retail Analytics Tools?

AI retail analytics tools are advanced software platforms that use artificial intelligence and machine learning to analyze large volumes of retail data. They collect information from sales, customer behavior, inventory, and marketing campaigns to deliver actionable insights.

By quickly processing and interpreting this data, AI analytics tools help retailers make smarter decisions and optimize operations. This real-time analysis enhances customer experiences and drives operational efficiency.

These tools predict trends, personalize offers, and enable retailers to stay competitive. In a data-driven market, they empower businesses to drive growth and respond effectively to customer demands.

Benefits of Using AI Retail Analytics Tools

Unlike the traditional BI tools, AI retail analytics tools offer several advantages that can enhance retail operations:

• Improved Decision-Making: AI analytics tools give you real-time insights by analyzing large volumes of data. You can make informed decisions quickly, adapting to market shifts and changing customer preferences.
• Enhanced Customer Experience: AI tools analyze customer behavior to personalize shopping experiences, enhancing satisfaction and loyalty.
• Optimized Inventory Management: AI predicts demand patterns, helping you manage stock levels more efficiently. You’ll reduce the risk of overstocking or stockouts, ensuring your products are always available when customers need them.
• Trend Prediction: AI analytics tools analyze historical data to predict future trends, enabling retailers to stay ahead of market shifts and customer preferences.

7 Best AI Retail Analytics Tools To Consider

Here's a comparison of the best AI-powered analytics tool for your retail business based on their strengths, deployment options, and integration capabilities:

Among these, WisdomAI stands out for its ease of use, quick integration, and advanced AI-driven capabilities. It’s the ideal choice for retailers who want to enhance decision-making with minimal technical complexity and maximum impact.

Now, to the review in full.

1. WisdomAI

WisdomAI is an AI-powered analytics platform designed to help retail businesses turn data into actionable insights. We unify data from sources like sales, inventory, and customer behavior to deliver real-time analysis that supports smarter decision-making. 

Our platform leverages advanced AI to detect patterns, predict trends, and offer recommendations, all without requiring technical expertise. It processes both structured and unstructured data, giving businesses a complete view of their operations. 

With proactive and deep analysis agents, WisdomAI empowers retailers to optimize inventory, forecast demand, and enhance customer experiences. This enables businesses to stay agile, improve profitability, and make more informed decisions in today’s rapidly changing market.

Key Features

• Natural Language Queries: Allows you to ask questions about your retail data in simple English while you get instant visual insights. No technical expertise required.  
• Contextual Understanding: Uses a "Context Layer" to grasp your business's unique terms, ensuring accurate responses. It interprets your data in a way that aligns with your specific industry needs.
• Deep Analysis Agent: Offers in-depth explanations of data patterns and trends, providing actionable recommendations for operational decision-making.  
• Proactive Agents: Monitor key metrics, detect issues, and automate routine data analysis tasks. This allows you to focus on strategic decisions while the system takes care of the rest.
• Continuous Learning: Continuously learns from your feedback, getting smarter and more accurate with every use.
• Enterprise Governance: Role-based access control ensures secure data management, and the platform supports safe data sharing and collaboration.
• Easy Integration: Connects to your data sources in under two minutes, adapting to your specific needs for seamless setup.

Pricing

We provide customized pricing based on enterprise needs. Our tiered plans scale with your business size and requirements. Additional AI-specific add-ons may apply for enhanced features like proactive agents and advanced analytics. Contact us for a quote. 

Pros

• Simple, plain-language queries for data analysis
• Fast integration with popular data sources
• Proactive monitoring to improve decision-making
• Dynamic learning for improved data accuracy
•  Predictive analytics for market trend forecasting
• Integrates well with existing retail systems

Cons

• Advanced features may be underused without training

2. SAS Viya 

SAS Viya is a cloud-based platform designed to help businesses manage and analyze their data. It simplifies the process of building, training, and deploying machine learning models. The platform supports both technical and non-technical users, making it accessible for a wide range of roles in a company. 

With its AI capabilities, SAS Viya is aimed at improving decision-making and streamlining business processes. It integrates well with other systems, enabling businesses to scale their data operations.

Key Features

• Data Management: SAS Viya allows easy access and integration of data from various sources, making it simpler to manage and govern data across an organization.
• Model Development: Supports building machine learning models with no-code tools or custom coding. It helps automate feature engineering and decision-making processes.
• AI Model Training: Accelerates model training by offering faster processing, which is ideal for businesses needing real-time insights.
• Collaboration: Includes tools for teams to work together, improving communication and workflow between data scientists, analysts, and business users.
• Cloud Integration: Works across different cloud environments and can integrate with open-source languages like Python, R, and Lua.

Pricing

Pricing is subscription-based, with costs depending on the usage, deployment scope, and number of users. Exact pricing is available upon request.

Pros

• Robust and flexible analytics tools for all users
• Seamless integration with cloud platforms and data sources
• Scalable for large datasets and enterprise needs
• High transparency and explainability of AI models

Cons

• Can be complex for new users without experience in SAS tools
• Performance can be affected with large data volumes
• Learning curve for advanced features

3. Kyvos

Kyvos is a powerful AI and business intelligence platform that delivers fast, petabyte-scale analytics with a focus on semantic intelligence. The platform's unique architecture enables seamless scaling, from small datasets to billions of rows, without sacrificing performance. 

Kyvos optimizes data processing with AI-powered smart aggregation, intelligent query optimization, and multi-level caching, ensuring rapid, sub-second query responses even under heavy workloads. It’s a great fit for retail teams that want to manage large-scale data efficiently while delivering actionable insights at speed.

Key Features

• Semantic Intelligence Layer: Provides intelligent aggregation and ensures faster, smarter insights.
• Petabyte-Scale Analytics: Handles massive data volumes with no performance trade-offs, scaling horizontally and vertically.
• AI-Driven Optimization: Reduces cloud costs by using smart aggregation and dynamic resource adjustment.
• Real-Time Query Responses: Sub-second response times for even the largest queries, ensuring immediate insights.
• Cloud-Native Architecture: Deployable across various cloud providers, ensuring scalability and flexibility.

Pricing

Kyvos offers three pricing models:

• Cloud Marketplace: $0.41 per core hour, billed per second.
• Managed Service: $0.61 per core hour, billed per second, including infrastructure and management.
• On-Premises: Annual subscription starting at $48,000, plus $0.41 per core hour, billed per second.

Pros

• Fast data processing and sub-second query responses
• Exceptional scalability for massive datasets
• Easy to use, with efficient analytics capabilities

Cons

• Complex setup process and documentation gaps
• Limited graphical options in Kyvos Viz for advanced needs
• Challenges with creating calculated measures using MDX

4. Sisense

Sisense is an AI-powered retail analytics platform designed to simplify data analysis and make insights accessible to all users, regardless of their technical background. It helps retail businesses create customizable dashboards, perform predictive analysis, and embed analytics into applications. 

The platform stands out with its GenAI-powered components, offering advanced features like predictive insights and trend forecasting. As a cloud-based solution, retail teams can easily integrate it into their existing tech stacks, for a flexible approach to analytics in line with their unique needs. 

Key Features

• GenAI-Powered Assistant: Helps users build analytics and visualizations with simple conversations.
• AI Insights: Offers AI-driven features like forecasting, trend analysis, and natural language explanations to uncover patterns and insights.
• Embedded Analytics: Integrates seamlessly into applications, providing real-time insights directly within workflows.
• Customizable Dashboards: Allows users to create tailored visualizations and reports to meet specific business needs.
• Data Integration: Easily integrates with existing systems and connects to various data sources.

Pricing

Sisense offers custom pricing based on the unique needs of each organization. Flexible, scalable solutions are designed to grow with your business.

Pros

• Easy-to-use interface with intelligent visualizations
• Seamless integration with existing systems
• Flexible dashboard customization
• Supports enterprise-level data volumes and user bases

Cons

• Missing features can limit advanced data handling
• Slow loading times with large datasets
• Limited SQL functionality and dashboard issues

5. Qlik Cloud Analytics

Qlik Cloud Analytics is an AI-powered analytics platform that helps retail businesses unlock valuable insights from diverse data sources. It works by integrating data across sales, customer behavior, inventory, and more into a single source of truth, on which the unique analytics engine acts to provide actionable, real-time insights. 

The platform’s predictive analytics, intuitive dashboards, and AI-driven insights are all designed to help retailers make smarter decisions, optimize operations, and enhance customer engagement. With its cloud-native architecture and scalability, Qlik grows with your business and adapts to your evolving needs. 

Key Features

• Data Integration: Unifies and prepares data from multiple sources for seamless analysis and reporting.
• AI-Powered Analytics: Delivers real-time insights and predictive analytics, enabling faster decision-making.
• Conversational Assistant: Simplifies data exploration and report generation using plain language.
• Self-Service Dashboards: Allows users to create custom visualizations and track KPIs without needing technical expertise.
• Cloud Scalability: Offers scalable data management to handle both small and large datasets.

Pricing

Qlik’s pricing is available on request, with flexible plans designed to meet the needs of each team. 

Pros

• Easy integration with existing data sources
• Strong data visualization and reporting tools
• User-friendly interface for both technical and non-technical users
• AI-driven insights for faster decision-making

Cons

• Limited flexibility in dashboard customization
• Occasional performance issues with large data volumes
• Can be resource-heavy for smaller teams
• Some features require advanced technical knowledge

6. Strategy One

Strategy One is an AI-powered analytics platform that helps retail businesses unify data, improve decision-making, and optimize operations. It integrates business intelligence (BI) with artificial intelligence (AI) to offer advanced data analysis and visualization tools. 

The platform features a governed semantic layer for consistent data across the organization, self-service tools for easy report creation, and AI-driven insights to enhance retail strategies. It also supports cloud and on-premise deployment, adapting to the unique needs of retail operations.

Key Features

• Unified Semantic Layer: Ensures consistent definitions and metrics across the organization, reducing data discrepancies.
• AI-Powered Analytics: Integrates AI capabilities to provide predictive insights and automate data analysis.
• Self-Service Tools: Empowers users to create custom reports and dashboards without relying on IT.
• Embedded Analytics: Allows seamless integration of analytics into existing applications and workflows.
• Cloud-Native Architecture: Offers scalability and flexibility with deployment on major cloud platforms.
• Data Connectors: Supports integration with over 200 data sources, facilitating comprehensive data analysis. 

Pricing

Strategy One offers flexible pricing tailored to each business’ needs. You can get a customized quote on request.  

Pros

• Intuitive interface and easy dashboard creation
• Advanced AI tools for predictive analytics and insights
• Seamless integration with existing systems
• Mobile accessibility for real-time decision-making

Cons

• Complex initial setup and implementation process
• Advanced functionalities may require technical expertise
• Limited documentation for self-learners

7. ThoughtSpot

The last AI retail analytics tool we’ll consider is ThoughtSpot. 

Like other tools on the list, ThoughtSpot is an AI-powered analytics platform designed to provide retailers with real-time insights by allowing them to query and analyze data with ease. 

The platform’s SpotIQ functionality leverages AI to detect trends and anomalies, providing businesses with proactive insights to stay ahead of the competition. Its Liveboards offer interactive dashboards that enable collaboration across teams, ensuring that insights are easily shared and drilled down to the most granular levels. 

Key Features

• Natural Language Search: Allows users to ask questions in plain language and receive immediate visual answers.
• SpotIQ AI Engine: Automatically identifies trends, anomalies, and insights within data.
• Liveboards: Interactive dashboards that update in real-time, providing up-to-date analytics.
• Embedded Analytics: Integrates analytics capabilities directly into retail applications and workflows.
• Sentiment Analysis: Analyzes customer reviews and feedback to gauge sentiment and inform decisions.
• Cloud Integration: Seamlessly connects with cloud data sources for real-time access.

Pricing

ThoughtSpot uses a consumption-based pricing model, starting at $95/month for the Team Edition, with more comprehensive pricing available on request.

Pros

• Intuitive, easy-to-use interface for non-technical users
• Fast, AI-powered data search and insights
• Scalable to large retail datasets
• Real-time, collaborative dashboards

Cons

• Limited customization in the UI
• Slow resolution of software bugs
• Complex querying for advanced reporting

Experience the Power of Simple, AI-Driven Retail Analytics with WisdomAI

We explored various AI-powered analytics platforms tailored to the retail industry, highlighting their key features, strengths, and integration capabilities. Each tool offers unique benefits, but WisdomAI consistently stands out for its simplicity and effectiveness.

WisdomAI is designed specifically to help retail businesses turn complex data into actionable insights. With natural language queries, proactive agents, and real-time analytics, our platform empowers your teams to make smarter decisions quickly and without technical expertise.

Start unlocking the power of your retail data today with WisdomAI. Book a demo today.