The Best 10 AI Tools & Solutions For Retail Businesses

Retail businesses generate huge amounts of data from stores, ecommerce platforms, supply chains, and customer interactions every day. 

The demand for AI is growing rapidly, with the global AI in retail market expected to increase from USD 16.64 billion in 2026 to USD 70.95 billion by 2035 at a 17.6% CAGR. 

The right AI platform can turn that data into faster decisions, better customer experiences, and higher profits. To help you choose the top AI tools and solutions for retail businesses, we have compiled this list. 

Top AI Tools for the Retail Industry at a Glance

• Blue Yonder: Best for supply chain and inventory optimization.
• RELEX: Best for demand forecasting and retail planning.
• Agentforce 360: Best for AI-powered customer engagement.
• Oracle Retail AI: Best for merchandising, pricing, and forecasting.
• Glean: Best for enterprise knowledge management.
• SymphonyAI: Best for merchandising and shelf optimization.
• C3.ai: Best for enterprise retail AI applications.
• Supermicro Retail AI: Best for retail AI infrastructure.
• Eagle Eye: Best for loyalty and personalization.
• Placer.ai: Best for foot traffic and location analytics.

Why Retail Businesses Need Custom AI Development 

Connect Every Retail System Into One View

Retail data often sits across POS systems, ecommerce platforms, warehouses, CRM software, and marketing tools. Without a unified view, teams make decisions using incomplete information. Bringing these systems together creates accurate reporting, faster planning, and better visibility across the entire business.

Support the Way Your Business Actually Works

No two retailers follow the same pricing rules, approval processes, or inventory workflows. Off-the-shelf AI often forces businesses to adjust their operations. A tailored solution works with your existing processes, integrates with current software, and scales as your business grows.

Personalize Every Shopping Experience

Customers expect relevant products, offers, and communication every time they interact with your brand. Purchase history, browsing activity, loyalty data, and shopping preferences help create highly targeted recommendations that improve engagement, conversions, and repeat purchases.

Make Inventory Decisions With Greater Confidence

Demand changes quickly because of seasons, promotions, and buying trends. Better forecasting helps purchasing teams maintain optimal stock levels, avoid expensive overstocking, reduce stock shortages, and improve product availability across every sales channel.

Create Capabilities Your Competitors Cannot Copy

Many retailers use the same AI tools and generate similar results. Building proprietary recommendation engines, pricing models, customer intelligence systems, or supply chain automation creates a long-term competitive advantage that aligns with your business goals.

Build Custom Retail AI Solutions with RAAS Cloud

Retail businesses achieve better results when AI fits their existing operations instead of forcing teams to change established workflows. RAAS Cloud develops custom AI solutions that align with your inventory, sales, customer engagement, pricing, and supply chain processes while integrating with your current technology stack. 

Our team of 50+ software specialists combines technical expertise with retail domain knowledge to build secure, scalable, and business-focused AI solutions. We build everything from AI-powered inventory management software and retail analytics platforms to POS systems, CRM software, and intelligent automation solutions that support long-term business growth. 

We have successfully delivered 60+ software projects across multiple industries. 

Explore our retail software development services

Case study: Retail Inventory Management System

RAAS Cloud developed a custom retail inventory management system for a growing US-based kids’ clothing brand operating across five retail stores and multiple warehouses. The platform centralized inventory tracking, warehouse transfers, procurement, and POS synchronization into a single cloud-based system. 

AI-powered demand forecasting helped reduce stockouts by 35%, while automated inventory workflows cut manual stock management efforts by more than 50%. The scalable architecture also enabled the retailer to expand to new store locations without changing its technology infrastructure.

1. Blue Yonder

Blue Yonder is an AI-powered supply chain and retail planning platform built for large retail businesses. It helps retailers forecast demand, optimize inventory, improve merchandising, manage omnichannel orders, and automate warehouse and transportation operations. 

Users often praise the platform for its user-friendly interface, robust reporting, customizable dashboards, and centralized planning tools that enhance operational visibility. 

The platform combines AI, machine learning, and a shared data cloud to provide real-time insights across the entire supply chain. Retailers can reduce stock shortages, improve fulfillment, lower operational costs, and respond faster to changing customer demand while delivering a better shopping experience across online and physical stores.

Blue Yonder has delivered measurable retail outcomes, including 5% growth in online sales, a 10% increase in top-selling SKUs, and 5% more trading space unlocked for specialty retailers. 

Standout features:

• Uses AI and machine learning to generate over 20 billion demand and supply predictions every day.
• Improves demand forecasting with real-time sales, inventory, and market data.
• Supports retail planning with AI-driven assortment, pricing, promotions, and category management.
• Connects online and offline inventory for seamless omnichannel order fulfillment.
• Optimizes warehouse operations with predictive labor planning and resource allocation.
• Streamlines transportation by improving route planning and logistics efficiency.
• Offers intelligent returns management with automated workflows and smart routing.
• Provides a unified data cloud that connects suppliers, warehouses, stores, and partners.
• Delivers real-time supply chain visibility through a centralized command center.
• Includes workforce management tools for labor forecasting, scheduling, and productivity.
• Helps retailers respond quickly to disruptions such as demand shifts, supply delays, and market changes.
• Serves more than 3,000 businesses across retail, manufacturing, logistics, and supply chain industries.

2. RELEX

RELEX helps retail businesses manage demand forecasting, inventory, merchandising, pricing, promotions, and supply chain planning from a single AI native platform. Three Finnish supply chain scientists, Mikko Kärkkäinen, Johanna Småros, and Michael Falck, founded the company in 2005 with a mission to reduce waste across the consumer goods value chain through smarter planning. 

Retailers use RELEX to improve product availability, reduce excess inventory, and connect planning across stores, warehouses, and suppliers. Its intuitive interface, flexible dashboards, and easy customization make complex planning simpler, while fast implementation and responsive support strengthen the overall experience. 

Standout features:

• Unifies demand planning, inventory, pricing, merchandising, production, and supply chain planning on a single AI-native platform.
• Improves forecast accuracy by combining demand signals, promotions, weather, seasonality, and market trends.
• Automates replenishment to maintain 99%+ product availability while reducing excess inventory.
• Helps grocery retailers reduce food waste through AI-driven fresh inventory management, expiration management, and markdown optimization.
• Connects suppliers, distribution centers, warehouses, and stores through a shared planning environment.
• Optimizes planograms, store layouts, and assortment planning to improve shelf productivity and customer experience.
• Supports price optimization, promotion planning, and vendor deal management from one platform.
• Gives retailers AI-powered workload forecasting to match staffing with expected customer demand.
• Enables manufacturers to connect production schedules with real-time retail demand through integrated planning.
• Serves grocery, convenience, fashion, home improvement, electronics, pharmacy, and specialty retail businesses with industry-specific planning solutions.
• Earned recognition as a Leader in the Nucleus Research Supply Chain Planning Technology Value Matrix for its AI-driven planning capabilities.
• Delivers flexible dashboards, customizable business rules, and an intuitive interface that adapts to unique retail workflows.

3. Agentforce 360 for Retail

Agentforce 360 for Retail reimagines how retailers interact with shoppers by turning every touchpoint into an AI-powered experience. Marketing, ecommerce, customer service, loyalty, point of sale, and partner operations all work from the same Customer 360 foundation, giving every department access to the same shopper context. 

Agentforce adds retail-ready AI agents that assist customers, complete business tasks, and continue conversations across websites, stores, messaging channels, and emerging AI platforms. Headless architecture, retail-native workflows, and low-code customization let brands introduce AI without rebuilding their existing technology stack. 

Loblaw found that automating routine tasks through Slack reduced unnecessary work across departments and helped teams serve customers better.

Standout features

• Customer 360 creates a single shopper profile by combining marketing, commerce, service, loyalty, and POS data.
• Agentforce includes prebuilt AI agents for personal shopping, customer service, campaign management, and returns.
• Headless retail architecture lets brands launch new shopping experiences without replacing their existing commerce systems.
• AI agent orchestration enables multiple AI agents and human teams to work together across the customer journey.
• Commerce AI delivers conversational shopping experiences with AI-powered product discovery and recommendations.
• Retail Media helps retailers monetize first-party shopper data by running advertising campaigns from the same platform.
• Modern POS turns handheld devices into AI-enabled checkout systems with voice assistance and return fraud detection.
• Marketing Cloud combines predictive and generative AI to personalize campaigns across email, SMS, mobile apps, and other channels.
• Service Cloud resolves customer inquiries with AI agents while routing complex issues to human representatives.
• Einstein Trust Layer adds AI governance, security, privacy controls, and regulatory compliance for enterprise retailers.
• Data Cloud connects customer, commerce, marketing, and operational data without creating duplicate shopper records.
• Slack, Tableau, MuleSoft, and Commerce Cloud work together inside the Salesforce ecosystem to improve collaboration, analytics, automation, and retail operations.

4. Oracle Retail Artificial Intelligence and Analytics

Oracle Retail Artificial Intelligence and Analytics helps retailers make faster, smarter decisions across pricing, merchandising, inventory, forecasting, promotions, and supply chain planning using AI and machine learning. Oracle connects customer, inventory, demand, pricing, and order data into a single retail intelligence ecosystem, so every team works from the same insights. 

The solution includes AI Foundation, Consumer Insights, Lifecycle Pricing Optimization, Inventory Planning Optimization, and Retail Data Store to improve forecasting accuracy, optimize assortments, personalize offers, and increase inventory productivity. Oracle also enables businesses to create custom AI models through its Innovation Workbench to address retail-specific challenges.

Oracle’s built-in capabilities. Its planning capabilities offer functionality that many competing retail planning solutions lack. 

Oracle’s retail AI capabilities also earned recognition as a Leader in the IDC MarketScape Worldwide Retail AI-Driven Assortment Planning Solutions 2025 Vendor Assessment. 

Standout features

• Uses Oracle Retail AI Foundation to support AI-driven decisions for assortment planning, pricing, inventory placement, demand forecasting, buying, and merchandising.
• Creates intelligent store clusters by analyzing real selling patterns instead of relying only on store size or location.
• Identifies products that customers frequently buy together to improve promotions, cross-selling, and assortment planning.
• Extracts product attributes from free-form descriptions to improve demand forecasting, customer decision trees, and merchandising accuracy.
• Segments customers using shopping behavior, demographics, and transactions to deliver personalized pricing, offers, and assortments.
• Optimizes promotions, markdowns, and pricing throughout the product lifecycle with AI-driven recommendations.
• Analyzes data from 1,500+ retailers, 1,000 product categories, 115 million households, and 5 trillion transactions to improve audience targeting and customer acquisition.
• Learns continuously from seasonality, promotions, demand changes, and stockouts to improve inventory planning and replenishment accuracy.
• Maximizes planogram performance and shelf productivity with AI-powered assortment and space optimization.
• Enables data science teams to build and deploy custom AI and machine learning models through the Innovation Workbench.
• Centralizes sales, inventory, pricing, fulfillment, supplier, and customer data in Oracle Retail Data Store for enterprise-wide analytics.
• Supports faster last-mile fulfillment through Collect and Receive, including inventory movement powered by Uber Direct integration.

5. Glean for Retail & CPG

Glean for Retail & CPG gives retail businesses an AI coworker that integrates company knowledge, business applications, and enterprise context into a single searchable workspace. Store associates, merchandisers, planners, and customer support teams can instantly find product information, internal policies, customer records, and operational documents without switching between multiple systems. 

Glean integrates with existing workplace tools to deliver permission-aware answers, AI-powered search, summaries, and workflow automation. This approach helps retail teams reduce information silos, speed up daily decisions, improve customer service, and onboard new employees faster across stores and support operations. 

Standout features

• Enterprise-wide AI search across Slack, Salesforce, Google Drive, Jira, Notion, SharePoint, GitHub, Zendesk, Microsoft Teams, and hundreds of workplace applications.
• Context-aware AI search that combines documents, conversations, customer records, product information, and company policies into one answer.
• Permission-based knowledge access ensures every response respects existing user roles and security settings.
• Retail employee guidance for store associates, merchandisers, planners, and customer support teams from a single AI workspace.
• Customer conversation summaries with relevant policies, previous interactions, and recommended next steps for faster issue resolution.
• Merchandising insights by bringing together sales, inventory, margin, and contract information from multiple enterprise systems.
• Seasonal staff onboarding through instant AI assistance that reduces dependency on lengthy documentation and manual training.
• AI agents and workflow automation to execute repetitive business tasks across connected enterprise applications.
• Support for 100+ large language models, giving businesses flexibility to choose AI models that fit their requirements.
• Enterprise governance and compliance with audit logs, observability, data controls, and permission-aware security are built into the platform.
• Lower AI operating costs by optimizing enterprise context, reducing unnecessary token consumption before sending requests to language models.

6. SymphonyAI

SymphonyAI Retail CPG delivers industry-specific AI for retailers and consumer packaged goods companies that want to improve merchandising, shelf planning, assortment decisions, pricing, and store execution. SymphonyAI applies AI at the store, shelf, and SKU level to help businesses make more accurate merchandising and operational decisions. 

Their CINDE Connected Retail platform brings together merchandising, pricing, promotions, supply chain, and store operations, allowing every retail function to work from the same intelligence. Retailers can respond faster to changing shopper demand, protect margins, improve shelf availability, and increase sales across every location. 

Businesses often highlight their stability, easy-to-use interface, and comprehensive planning capabilities for retail operations. 

Standout features

• Retail-trained vertical AI developed specifically for merchandising, category management, shelf optimization, and retail operations.
• CINDE Connected Retail platform unifies merchandising, pricing, promotions, store execution, and supply chain decisions in one AI system.
• Store and SKU-level intelligence that recommends actions for every location instead of applying chain-wide averages.
• Shopper-led store clustering to create localized assortments and planograms based on customer buying behavior.
• Real-time shelf intelligence that identifies merchandising opportunities and improves on-shelf availability.
• Promotion optimization that measures expected profit uplift before promotional campaigns launch.
• Demand forecasting and assortment planning designed for grocery, convenience stores, and CPG businesses.
• Pre-trained retail AI models that reduce implementation time by using built-in retail workflows and domain knowledge.
• Eureka AI Platform for building AI agents, preparing enterprise data, and deploying responsible AI applications.
• Trusted by 2,000+ organizations, including 30 of the top 50 grocery retailers and all 25 of the world’s top CPG companies.

7. C3.ai

C3.ai combines shopper behavior, transaction history, and category trends to help retail businesses improve demand forecasting, inventory planning, promotions, deliveries, and customer engagement. 

CEO Tom Siebel established the company in 2009 to develop enterprise AI software for complex business operations. Retail organizations can use prebuilt AI applications or create custom solutions using the C3 Agentic AI Platform to support company-specific workflows. 

C3.ai also applies machine learning to uncover revenue opportunities, lower supply chain costs, optimize store operations, and deliver more personalized omnichannel shopping experiences. The platform receives praise for making customer management easier through AI-powered forecasting, organized records, and a user-friendly experience. 

Standout Features

• Inventory optimization predicts demand changes, supplier delays, and quality issues, and recommends optimal stock levels with real-time alerts.
• Promotion optimization identifies the most effective pricing and promotional offers for individual shoppers using predictive AI.
• Demand forecasting refreshes forecasts continuously as new sales and operational data become available.
• AI-powered CRM analyzes shopper behavior, transaction history, and external data to personalize customer engagement and improve revenue forecasting.
• Delivery optimization recommends efficient delivery routes and schedules that balance operational efficiency with customer expectations.
• Low-code AI development enables businesses to build and deploy custom enterprise AI applications for retail use cases without having to develop models from scratch.

8. Supermicro Retail AI

Supermicro Retail AI provides the AI infrastructure that powers modern retail applications, from intelligent stores and supply chains to omnichannel shopping experiences. Its portfolio includes edge AI systems, enterprise servers, and data center platforms that support computer vision, demand forecasting, shopping assistants, warehouse digital twins, and Generative AI workloads. 

Working closely with NVIDIA, Supermicro delivers AI infrastructure that scales from compact in-store deployments to large AI training environments, helping retailers run high-performance AI workloads with greater speed, efficiency, and reliability. 

Standout Features

• Purpose-built AI infrastructure for retail instead of retail software or AI development services.
• Supports computer vision workloads for loss prevention, store analytics, and frictionless checkout with edge AI systems.
• Powers AI-driven supply chain operations, including warehouse digital twins, demand forecasting, and delivery optimization.
• Runs Generative AI applications for shopping assistants, content generation, and customer service across retail channels.
• Offers an edge to data center deployment options, allowing retailers to process AI workloads in stores or large-scale AI environments.
• Includes a broad portfolio of GPU-powered AI servers with NVIDIA, Intel, and AMD technologies for different retail AI workloads.

9. Eagle Eye

Eagle Eye AIR Platform transforms loyalty programs into an AI-driven marketing engine that learns from every customer interaction. The platform captures first-party data from purchases, promotions, digital channels, and loyalty activities to create highly personalized offers for individual shoppers. 

Predictive AI continuously refines recommendations, while Smart Checkout applies relevant rewards at the point of purchase without adding friction to the buying experience. Retail brands can also manage omnichannel promotions, digital gift cards, stored-value accounts, and secure coupon redemption from a single platform. 

Eagle Eye processes more than 1.7 billion personalized offers every week, supports 750 million active loyalty wallets, and responds to customer requests in an average of 150 milliseconds, making real-time personalization possible across physical stores and digital channels. 

Standout features

• AI Personalization Science uses predictive AI to create individual offers based on customer behavior and loyalty data.
• Real Time Loyalty delivers personalized rewards instantly across physical stores, ecommerce, and mobile apps.
• Smart Checkout automatically applies the best available promotion at checkout for a seamless customer experience.
• Omnichannel Promotions manages loyalty campaigns and offers consistently across every customer touchpoint.
• PromoBase validates and redeems manufacturer coupons digitally to reduce coupon fraud.
• Gifting and Top Up supports digital gift cards, stored value accounts, and instant balance reloads across channels.

10. Placer.ai

Placer.ai gives retailers a clear picture of how people move, shop, and interact with physical stores. The platform analyzes foot traffic, trade areas, audience demographics, visit frequency, and competitor performance to help businesses make smarter decisions about expansion, marketing, and merchandising. 

Retail teams can compare store performance across regions, evaluate the impact of remodels and promotions, measure customer transfer between locations, and identify new sites with the strongest growth potential. 

Placer.ai also integrates its location intelligence through APIs and data feeds, making it easier to combine offline customer behavior with existing business data. More than 4,000 organizations use the platform to turn real-world location data into practical retail strategies. 

Users consistently praise Placer.ai for its highly accurate foot traffic data, intuitive interface, and actionable location insights that support smarter retail decisions. 

Standout features

• Site selection reports that evaluate demographic fit, trade areas, and cannibalization risk before opening new stores.
• Foot traffic analytics that benchmark store, chain, and competitor performance across local, regional, and national markets.
• Marketing measurement tools that connect offline store visits with digital campaigns to improve advertising ROI.
• Customer transfer analysis that measures how store openings, closures, or remodels affect nearby locations.
• Audience intelligence with demographic, psychographic, spending, and visitation insights for each location.
• API and data feed integrations that bring location analytics into existing retail reporting and business intelligence systems.

RAAS Cloud delivers a custom AI development solution for the retail industry

Retail businesses need AI solutions that support long-term growth rather than introducing new operational complexity. RAAS Cloud develops custom AI solutions that integrate with your existing systems, automate critical workflows, and deliver measurable business outcomes. 

Our team works closely with retailers from planning and development to deployment and ongoing support, ensuring every solution aligns with your business goals. If you are ready to modernize your retail operations with AI, RAAS Cloud can help you build a solution that grows with your business. 

👉 Talk to our experts to get started.