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The 24 Best AI Tools for Ecommerce: How to Automate Efficiency and Maximize Profit

The 24 Best AI Tools for Ecommerce: How to Automate Efficiency and Maximize Profit

The 24 Best AI Tools for Ecommerce: How to Automate Efficiency and Maximize Profit

From uploading products and tracking inventory to optimizing your website for search and providing personalized customer support – the list of tasks required to successfully run an ecommerce store is ever-expanding. An ecommerce brand owner is constantly juggling information, tools, and making marketing decisions that can change the trajectory of their revenue, and there’s a need to consolidate data to better manage it all effectively. 

With the rise of AI for ecommerce, tools have been developed to automate many of the above processes, so that brand owners can focus on more strategic tasks to run the company. AI tools for customer service have been widely used in recent years, and there continues to be growth in AI ecommerce personalization tools, AI shopping assistants, and AI ecommerce website builders. Software companies continue to expand the marketing automation software market, estimated at $8.05 billion in 2025, and expected to reach $18.06 billion by 2030, ccording to Mordor Intelligence.

Marketers are quickly adopting AI tools to run their brands, and with good reason: Ecommerce businesses that leverage AI can increase their profitability by up to 25%, according to McKinsey.

The trends in ecommerce are leaning heavily towards utilizing AI influencers, and even agentic AI to maximize their reach and profit. By removing tedious activities from human plates, automated tools can significantly impact an ecommerce brand’s output. 

In this article, we’ll review the best AI tools for ecommerce in 2025 across eight categories:

  1. SEO and content generation tools
  2. Customer service and experience tools
  3. Personalization and recommendations tools
  4. Sales and marketing automation tools
  5. Operations optimization & inventory and demand forecasting tools
  6. Analytics and insights tools
  7. Pricing optimization tools
  8. Fraud detection and security tools

We'll also provide tips for choosing the best AI tool for your business. 

The best AI tools for ecommerce in 2025

SEO and content generation tools 

SEO and content generation AI tools table featuring tech used, what it's used for, and price

Jasper AI: Best for AI-powered content creation

Jasper AI generates high-quality product descriptions, blog posts, and ad copy, making content creation fast and scalable. 

  • AI tech used: Natural Language Processing (NLP) and GPT-based language models; generative AI
  • Used for: Content marketing, SEO-optimized writing, ad copy generated in brand voice
  • Pros: 
    • Generates content at scale
    • Wide range of templates available
    • Customizable tone and style
  • Cons: 
    • Expensive for smaller businesses
    • May require human editing for accuracy
    • Generic outputs for written content
  • Pricing: $39 per month/seat for Creator, $59 per month/seat for Pro, Custom pricing for Business
  • Ratings: G2: 4.7, Trustpilot: 4.0

Surfer SEO: Best for SEO optimization

Surfer SEO optimizes content for search engines by analyzing top-performing pages and providing actionable insights.

  • AI tech used: Machine learning for SEO analysis
  • Used for: Keyword research, on-page SEO audits 
  • Pros: 
    • Easily integrates with content creation tools
    • Provides real-time SEO feedback
    • Comprehensive list of keyword recommendations
  • Cons: 
    • Steep learning curve for beginners
    • Sometimes provides irrelevant suggestions
    • Expensive core plans with limited usage allowances
  • Pricing: $79/month for Essential, $175/month for Scale, Custom pricing for Enterprise
  • Ratings: G2: 4.8, Trustpilot: 4.7

Synthesia: Best for AI-generated video content

Synthesia allows ecommerce businesses to create professional AI-generated videos. They can use realistic avatars and voiceovers, which are perfect for product demos, tutorials, and personalized marketing messages.

  • AI tech used: Deep learning, computer vision, NLP for speech 
  • Used for: Product videos, tutorials, demos, personalized video messaging
  • Pros: 
    • Supports over 120 languages
    • Realistic avatars and voices
    • No video editing skills required
  • Cons: 
    • Some language accents may not be perfectly natural 
    • Limited customization for avatars and branding
    • Lip-synch issues with videos
  • Pricing: $0/month for Free, $18/month for Starter, $64/month for Creator, Custom pricing for Enterprise
  • Ratings: G2: 4.7, Trustpilot: 4.4

Customer service and experience tools

Customer service and experience AI tools table featuring tech used, what it's used for, and price

Tidio: Best for AI-powered customer support

Tidio combines live chat with the best AI chatbot for ecommerce to improve customer engagement and resolve queries instantly. Tidio can also provide an AI shopping assistant for your customers to recommend products, answer questions, book appointments, or track orders.

  • AI tech used: Conversational AI using Deep Learning and NLP
  • Used for: Live chat support, customer engagement
  • Pros: 
    • Easy setup and integration
    • 24/7 customer support
    • Seamless integration with Shopify
  • Cons: 
    • Limited advanced features on lower-tier plans 
    • Expensive 
    • No marketing possibilities on Facebook, Instagram, and WhatsApp
  • Pricing: $0/month for Free, starts at $59/month for Growth, $749/month for Plus, $2999 for Premium
  • Ratings: G2: 4.7, Trustpilot: 4.2

Boost.AI: Best for scalable AI-powered customer support

Boost.AI offers conversational AI solutions for ecommerce designed to automate customer service at scale, improving response times and reducing operational costs.

  • AI tech used: NLP, deep learning
  • Used for: Customer service automation, virtual agents, FAQ
  • Pros: 
    • High scalability suitable for large ecommerce operations
    • Easy integration with popular CRM systems
    • No-code conversational AI platform
  • Cons: 
    • Initial setup may require technical support
    • Primarily suited for medium to large enterprises
    • Limited language support
  • Pricing: Not provided on website, but Capterra references $50,000/year
  • Ratings: G2: 4.8, Capterra: 4.8

Intercom: Best for personalized customer engagement

Intercom combines AI-powered chatbots, live chat, and customer messaging platforms to deliver personalized, scalable customer service experiences for ecommerce businesses.

  • AI tech used: Machine learning, NLP, conversational AI
  • Used for: Real-time customer communication, onboarding, and customer retention
  • Pros: 
    • Proactive customer messaging
    • Seamless live chat and bot integration
    • Supports omnichannel communication
  • Cons: 
    • Higher cost for advanced features
    • Learning curve for complex automation setups
    • Slow response times for customer support
  • Pricing: $39/month per seat for Essential, $99/month per seat for Advanced, $139/month per seat for Expert
  • Ratings: G2: 4.5, Capterra: 4.5

Personalization and recommendations tools

Personalization and recommendation AI tools table featuring tech used, what it's used for, and price

Nosto: Best for product recommendations

Nosto uses AI to analyze customer behavior and recommend relevant products, boosting conversion rates and customer satisfaction. 

  • AI tech used: Behavioral data analysis, AI algorithms
  • Used for: On-site personalization, product recommendations 
  • Pros: 
    • Quick implementation
    • Real-time recommendations
    • Supports omnichannel personalization
  • Cons: 
    • Can be expensive for startups
    • Requires volume for accurate predictions
    • Bug issues and slow performance
  • Pricing: Free trial and no up-front cost, but pricing is based on sales volume
  • Ratings: G2: 4.6, Capterra: 4.0

Plerdy: Best for conversion rate optimization (CRO)

Plerdy uses AI to analyze user behavior and provide personalized content recommendations to increase conversions.

  • AI tech used: Behavioral data analysis, AI-powered heatmaps
  • Used for: Conversion rate optimization, personalized recommendations, UX improvements
  • Pros: 
    • Comprehensive analytics tools
    • Real-time personalization
    • User-friendly interface
  • Cons: 
    • Advanced features might require technical expertise
    • Higher cost for premium plans
    • Integration with certain platforms may be limited
  • Pricing: 
  • Ratings: G2: 4.7, Trustpilot: 4.3

Adobe Sensei: Best for enterprise-level personalization

Adobe Sensei uses AI and machine learning to deliver personalized customer experiences by analyzing vast amounts of data across customer touchpoints. 

  • AI tech used: Machine learning, AI-driven analytics, Adobe’s proprietary AI framework
  • Used for: Personalized recommendations, customer journey mapping, marketing optimization
  • Pros: 
    • Seamless integration with Adobe Experience Cloud
    • Real-time personalization at scale
    • Enterprise-grade analytics and reporting
  • Cons: 
    • High cost, best suited for large enterprises
    • Complex implementation
    • Requires specialized training for full utilization
  • Pricing: Custom pricing
  • Ratings: Capterra: 4.5

Sales and marketing automation tools

Sales and marketing automation AI tools table featuring tech used, what it's used for, and price

Triple Whale: Best for ecommerce performance analytics

Triple Whale offers comprehensive AI-powered analytics and marketing automation tailored for ecommerce brands, enabling better decision-making through real-time data insights.

  • AI tech used: Machine learning, predictive analytics, generative AI, NLP
  • Used for: Marketing automation, sales tracking, ecommerce analytics
  • Pros: 
    • Real-time dashboards for performance tracking
    • Moby Agents to automate processes like ROAS & spend tracking, revenue pacing, order fluctuations, and monitoring for anomalies in cross-channel ad performance
    • Actionable insights for optimized marketing campaigns
  • Cons: 
    • Advanced features may require onboarding
    • Custom pricing may be more suited for established businesses
  • Pricing: $0/year for Free, starting at $1290/year for Growth, $1990/year for Pro, $2790/year for Premium, $4790/year for Premium+, Custom pricing for Enterprise+
  • Ratings: G2, 4.6; Capterra: 5.0

Klaviyo: Best for email marketing optimization

Klaviyo automates personalized email marketing campaigns using customer data to drive engagement and conversions.

  • AI tech used: Predictive analytics, automation workflows
  • Used for: Email marketing, SMS campaigns, customer segmentation
  • Pros: 
    • Data-driven segmentation
    • Robust automation workflows
    • Integrates with top ecommerce platforms
  • Cons: 
    • Learning curve for beginners
    • Pricing scales with contact list size
  • Pricing: Free up to 250 contacts, paid plans starting at $20/month
  • Ratings: G2, 4.6; Capterra: 4.6

Salesforce Einstein: Best for AI-driven customer relationship management

Salesforce Einstein integrates AI capabilities directly into the Salesforce ecosystem, offering predictive analytics, personalized recommendations, and automated workflows tailored for ecommerce businesses.

  • AI tech used: Machine learning, NLP, deep learning, and computer vision
  • Used for: Sales forecasting, lead scoring, customer service automation
  • Pros: 
    • Real-time predictive insights to guide sales and marketing strategies
    • Automated customer journey mapping
    • Advanced customer segmentation and targeting abilities
  • Cons: 
    • High cost, especially for small and medium-sized businesses
    • Requires advanced customization for optimal performance
    • Custom integrations may require dedicated technical support
  • Pricing: Custom based on business needs
  • Ratings: G2, 4.4; Capterra: 4.0

Operations optimization & inventory and demand forecasting tools

Operations Automation/Inventory Planning AI tools table featuring tech used, what it's used for, and price

Inventory Planner: Best for demand forecasting

Inventory Planner helps ecommerce businesses optimize stock levels by predicting future demand based on historical sales data. 

  • AI tech used: Predictive analytics, machine learning algorithms
  • Used for: Inventory management, demand forecasting, purchase order planning
  • Pros: 
    • Accurate demand forecasting to reduce stockouts
    • Integrates seamlessly with popular ecommerce platforms
    • Easy-to-use interface with actionable insights
  • Cons: 
    • Limited customization for niche product categories
    • Premium features can be expensive for small businesses
  • Pricing: Starts at $99/month
  • Ratings: G2, 4.4; Capterra: 4.6

Lokad: Best for quantitative supply chain optimization

Lokad offers advanced forecasting solutions for supply chain optimization using quantitative techniques, and focuses on delivering actionable insights.

  • AI tech used: Quantitative supply chain algorithms, machine learning
  • Used for: Inventory optimization, supply chain forecasting, risk management
  • Pros: 
    • Specialized in probabilistic demand forecasting
    • Flexible and customizable for complex supply chains
    • Detailed visual dashboards for performance tracking
  • Cons: 
    • Steep learning curve due to advanced analytics
    • Best suited for medium to large-sized businesses
  • Pricing: Custom pricing based on business needs
  • Ratings: G2, 4.5

Akkio: Best for AI-powered inventory forecasting

Akkio offers advanced AI-driven forecasting and inventory management solutions, helping ecommerce businesses make faster, data-driven decisions.

  • AI tech used: Machine learning, no-code AI modeling, predictive analytics
  • Used for: Inventory forecasting, demand planning, supply chain optimization
  • Pros: 
    • No-code platform for easy AI model creation
    • Real-time data processing and predictions
    • Scalable for businesses of all sizes
  • Cons: 
    • Limited customization for highly specialized forecasting needs
    • Requires clean and well-structured data for optimal performance 
  • Pricing: Starts at $50/month
  • Ratings: G2, 4.5

Analytics and insights tools

Analytics and insights AI tools table featuring tech used, what it's used for, and price

MarketMuse: Best for content strategy and optimization 

MarketMuse uses AI to streamline content creation strategies, identifying content gaps and optimizing for search engine rankings. 

  • AI tech used: Machine learning, NLP
  • Used for: Content strategy, SEO optimization, competitive analysis
  • Pros: 
    • AI-driven topic modeling and content recommendations
    • Identifies content gaps and optimization opportunities
    • Competitive analysis for better positioning
  • Cons: 
    • High pricing for smaller businesses
    • Requires regular updates for best accuracy
    • Steep learning curve for non-technical users
  • Pricing: Starts at $149/month
  • Ratings: G2, 4.6

Zoho Analytics: Best for business intelligence and reporting

Zoho Analytics provides comprehensive business intelligence solutions, offering powerful visualizations and AI-powered data insights that help ecommerce businesses make informed decisions. 

  • AI tech used: Machine learning
  • Used for: Business intelligence, data visualization, reporting
  • Pros: 
    • Wide range of data connectors for seamless integration
    • Intuitive drag-and-drop interface for easy report creation
    • Customizable dashboards and reporting templates
  • Cons: 
    • Advanced analytics features require technical expertise
    • Performance can be slow with very large datasets
    • Free plan has limited features
  • Pricing: Free for up to two users, paid plans start at $24/month
  • Ratings: G2, 4.3; Capterra 4.4

Tableau: Best for advanced data visualization

Tableau offers advanced data visualization and analytics tools, enabling ecommerce businesses to gain deeper insights into customer behavior, sales trends, and operational performance. 

  • AI tech used: Machine learning, NLP, AI-driven data analysis
  • Used for: Data visualization, customer insights, sales performance analysis 
  • Pros: 
    • Highly interactive and customizable visualizations
    • Handles large volumes of data efficiently
    • Advanced analytics features, including predictive modeling
  • Cons: 
    • Premium pricing, especially for small businesses
    • Steep learning curve for beginners
    • Requires ongoing training for full utilization
  • Pricing: Starts at $70/user/month
  • Ratings: G2, 4.6

Pricing optimization tools

Pricing optimization AI tools table featuring tech used, what it's used for, and price

Prisync: Best for competitive price monitoring

Prisync helps ecommerce businesses monitor competitor pricing and adjust their own pricing strategies accordingly. It supports dynamic pricing automation, ensuring that businesses remain competitive in real time.

  • AI tech used: Machine learning, price-tracking algorithms
  • Used for: Competitive price monitoring, price optimization, dynamic pricing optimization
  • Pros: 
    • User-friendly dashboard
    • Supports multiple ecommerce integrations
    • Customizable pricing rules for dynamic adjustments
  • Cons: 
    • Limited advanced analytics features on lower-tier plans
    • Requires manual intervention for niche pricing strategies
    • Higher-tier plans needed for bulk tracking
  • Pricing: Starts at $59/month
  • Ratings: G2, 4.7; Trustpilot 4.2

Pricen.ai: Best for AI-powered dynamic pricing

Pricen.ai offers automated dynamic pricing solutions based on competitor pricing and market conditions. It uses AI to recommend optimal pricing strategies that maximize revenue and profit margins. 

  • AI tech used: Machine learning, dynamic pricing algorithms, real-time data analysis
  • Used for: Dynamic pricing, revenue management, competitive analysis
  • Pros: 
    • Scalable for businesses of all sizes
    • Supports multiple currencies and international pricing strategies
    • Comprehensive reporting and analytics
  • Cons: 
    • Needs expert configuration for complex pricing models
    • Pricing details not publicly available
    • Best suited for medium to large enterprises
  • Pricing: Custom pricing
  • Ratings: Capterra 4.7

Competera: Best for enterprise-level price optimization

Competera provides AI-driven price optimization for large ecommerce operations. It utilizes deep learning to balance pricing strategies, revenue growth, and customer retention. 

  • AI tech used: Deep learning, reinforcement learning, advanced analytics
  • Used for: Price optimization, revenue management, market analysis, price elasticity modeling
  • Pros: 
    • High accuracy in demand prediction and price recommendations
    • Supports both rule-based and AI-driven pricing strategies
    • Integrates easily with popular ecommerce platforms
  • Cons: 
    • Expensive for smaller businesses
    • Complex setup process requiring technical expertise
    • Long onboarding period due to advanced features
  • Pricing: Custom pricing based on business needs
  • Ratings: Capterra 4.8; G2, 4.9

Fraud detection and security AI tools

Fraud detection and security AI tools table featuring tech used, what it's used for, and price

Signifyd: Best for AI-driven fraud protection

Signifyd provides AI-powered fraud prevention tools that help ecommerce businesses detect and prevent fraudulent transactions in real-time, reducing chargeback and financial losses.

  • AI tech used: Machine learning, behavioral analytics, transaction monitoring
  • Used for: Fraud prevention, chargeback protection, real-time transaction analysis
  • Pros: 
    • Automated fraud detection with high accuracy
    • Chargeback protection for businesses
    • Seamless integration with ecommerce platforms
  • Cons: 
    • Expensive for smaller businesses
    • May flag some legitimate transactions as fraudulent
    • Customization options may require technical expertise
  • Pricing: Custom pricing based on business needs
  • Ratings: Capterra 4.7; G2, 4.6

Kount: Best for enterprise-grade fraud detection

Kount provides AI-driven fraud prevention tools for ecommerce businesses, leveraging machine learning to detect and mitigate fraudulent activity across transactions.

  • AI tech used: AI-driven fraud detection algorithms, risk scoring, adaptive analytics
  • Used for: Fraud detection, chargeback reduction, identity verification
  • Pros: 
    • Advanced risk scoring and fraud prevention
    • Reduces false positives and enhances approval rates
    • Scalable solution for enterprise-level businesses
  • Cons: 
    • Higher cost for small businesses
    • Initial setup can be complex
    • Requires regular tuning for best performance
  • Pricing: Custom pricing based on business needs
  • Ratings: Capterra 4.7; G2, 4.8

Riskified: Best for AI-powered chargeback protection

Riskified provides AI-driven fraud detection and chargeback protection, helping ecommerce businesses maximize approval rates while minimizing fraudulent losses.

  • AI tech used: Machine learning, behavioral analysis, automated risk assessment
  • Used for: Fraud prevention, chargeback protection, transaction monitoring
  • Pros: 
    • AI-driven chargeback guarantee model
    • Maximizes approvals while reducing fraud
    • Seamless API integration with ecommerce platforms
  • Cons: 
    • Higher fees for transaction-based pricing
    • Best suited for high-volume ecommerce businesses
    • May require fine-tuning for specific industries
  • Pricing: Custom pricing based on business needs
  • Ratings: Capterra 4.7; G2, 4.5

How to choose the right AI tool for your ecommerce business

Choosing the right tool for your ecommerce business requires you to evaluate your needs, budget, and scalability of the tools, along with some other factors. 

Here are a few things to consider when choosing your AI tools:

1. Business needs

  • Identify the primary challenge you need to solve with an AI tool: is it price optimization, fraud prevention, inventory management, or something else?
  • Evaluate the pain points in your current ecommerce operations – where can an AI tool provide the most value?

2. Budget

Since AI tools vary in cost, and you may need more than one to address your specific pain points, choose the ones that fit your current budget and needs.

  • Compare the return on investment for each tool and assess whether that investment aligns with your business goals.
  • Look for AI tools with flexible pricing plans that can scale with your business growth.

3. Scalability

  • Choose an AI solution that can grow with your business and handle increased traffic, transactions, and data volume over time.
  • Ensure that the tool offers advanced features or add-ons that support business expansion. 

4. Ease of integration

  • How well does the AI tool integrate with your existing ecommerce platform, CRM, marketing tools, or inventory management system?
  • Solutions with pre-built integrations with the top ecommerce platforms (like Shopify, WooCommerce, and BigCommerce) will likely save you headaches!

5. User-friendliness

  • No-code or low-code interfaces and easy implementation will go a long way, since not every member of your team may be a technical expert. 
  • Choose an AI tool that is easy to adopt and manage without extensive training for employees.

6. Data security and privacy compliance

  • Verify that the AI tool complies with data protection laws like GDPR, CCPA, or PCI DSS. 
  • Check for encryption, fraud detection, and access control features to ensure your customers’ data remains protected. 

7. Customer support and reliability

  • It’s important to have customer support for the AI tool in case you run into any issues, such as live chat, phone, or a dedicated account manager. 
  • Online reviews and testimonials from existing customers can provide plenty of information about whether the tool is reliable and performs as advertised.

8. Trial period or demos

  • Take advantage of any free trials, demos, or money-back guarantee an AI tool might offer, and test functionality before fully committing.
  • Request case studies or success stories from the provider to understand real-world applications of the tool and how other ecommerce brands have utilized the tool to their advantage. 

How AI will continue to drive the evolution of ecommerce tools

The future of ecommerce is already here, with a plethora of AI tools to make building and scaling an AI brand easier. Businesses can enhance customer experiences, plan inventory, and have access to instant analytics with AI tools that are designed to streamline performance. 

As AI continues to evolve, the number of AI tools will grow, too – it’s important that a brand does the necessary research to ensure they’re choosing the right tool that can scale and grow with their business. We hope this list of 24 of the best and most trusted AI tools will help you select the right tools for your business’s needs. 

AI-driven insights and automation solutions are available in Triple Whale, the only ecommerce data platform designed to provide business intelligence, powerful AI-automated insights, and reliable attribution data all in one place. Book a demo today to see what it’s all about!

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