Best Amazon AI Tools to Grow Your Business in 2025

AI-powered tools have become essential for Amazon sellers aiming to stay competitive in 2025. These solutions help automate product research, optimize listings, forecast demand, and manage advertising campaigns. In this article, we’ll explore the top Amazon AI tools that support decision-making, increase efficiency, and improve overall store performance. Whether you’re a beginner or scaling an FBA business, these tools can make a measurable impact.

1. WisePPC

We built WisePPC to give marketplace sellers a complete and practical toolkit for managing advertising and sales performance. Our platform helps you track real-time results, analyze long-term trends, and make better decisions using reliable data. Whether you’re selling on Amazon, Shopify, or multiple channels at once, WisePPC brings all your performance metrics into one place. You can view campaign-level details, adjust bids and budgets on the spot, and use advanced filters to focus on exactly what matters.

Our tools are built for scale and clarity. From bulk editing and historical trend analysis to campaign optimization and placement tracking, we make it easier to manage large catalogs and multiple accounts. We store long-term data beyond what Amazon provides, support granular performance segmentation, and highlight anomalies using visual cues. With upcoming features like automated inventory forecasting and AI-based bidding, we continue to expand the system to handle more of your workflow with less manual effort. As an Amazon AI tool, we continue to expand the system to handle more of your workflow with less manual effort, with upcoming features like automated inventory forecasting and AI-based bidding.

Key Highlights:

• Advanced ad analytics with real-time and historical tracking
• Bulk editing across campaigns, targets, and budgets
• Smart visual cues to identify performance issues quickly
• On-platform campaign editing without switching tabs
• Long-term data storage beyond Amazon’s retention limits
• Centralized analytics from ads and organic sales
  

Who it’s best fo:

• Sellers managing multiple products or marketplace accounts
• Teams looking to reduce manual ad management
• Businesses needing detailed segmentation and custom filtering
• Users who want long-term access to campaign performance data
• Sellers aiming to link ad spend with actual sales outcomes

2. ChatGPT

ChatGPT is a language model developed by OpenAI that uses AI to understand and generate human-like text responses. Built on the GPT-3.5 and GPT-4 architectures, the tool is designed for natural language understanding tasks, including summarization, rewriting, and code completion. While not built specifically for Amazon, sellers can use ChatGPT to create product titles, bullet points, and descriptions by inputting relevant information and allowing the model to generate optimized content. It can also assist in drafting customer service responses and creating structured data for listings.

Sellers often use ChatGPT as a general-purpose AI tool to automate parts of their listing process or brainstorm copy variations. Since it doesn’t pull real-time marketplace data, its outputs rely on the quality of the input prompt. ChatGPT is used in tandem with Amazon-specific data tools to generate human-like and structured listing text. It’s especially useful when sellers are looking to scale their content output or refine their messaging without manual effort.

Key Highlights:

• Can generate listing content such as descriptions and bullet points
• Useful for rewriting or expanding text based on prompts
• Supports multiple languages
• Can automate customer response templates
• Works across many content formats, including FAQs and manuals
  

Who it’s best fo:

• Amazon sellers creating large volumes of listings
• Users who pair ChatGPT with keyword or data tools
• Brands that need multilingual listing support
• Teams automating repetitive content tasks
  

3. ZonGuru ChatGPT Listing Tool

ZonGuru offers an Amazon AI tool that integrates ChatGPT directly into its listing optimization workflow. This feature takes data from top-performing Amazon listings within a category and uses AI to automatically rewrite and score listings. Sellers input their own ASIN and a competitor’s ASIN, and the tool compares, rewrites, and scores the improved version. The process is automated and includes a listing optimizer that evaluates the quality of the new content.

This tool is designed to support sellers in enhancing their visibility by aligning AI-generated content with high-performing data points. It reduces the time needed to create listing copy and provides a measurable output in the form of listing scores. Since the system is built on ChatGPT, it relies on AI to interpret listing structures and rewrite them while preserving the key selling points and keywords.

Key Highlights:

• AI-generated Amazon listings based on top competitor data
• Built-in listing scoring system
• Uses seller and competitor ASINs for comparison
• Integrated with ZonGuru’s broader suite of seller tools
• Output delivered in video walkthrough format
  

Who it’s best fo:

• Amazon sellers optimizing underperforming listings
• Brands wanting quick comparison-based improvements
• Users looking for structured AI-supported workflows
• Sellers with existing listings looking to test alternatives
  

4. Helium 10

Helium 10 is a comprehensive tool suite for Amazon sellers, offering AI-enhanced features across product research, keyword tracking, listing optimization, and ad campaign automation. Among its AI tools, Helium 10 Ads automates PPC campaigns without requiring manual adjustments. Additionally, tools like Cerebro and Magnet support keyword identification and listing enhancement using market data.

The platform incorporates AI into its ecosystem by automating listing improvements and ad strategies based on real-time marketplace activity. Sellers can use AI to predict performance, locate high-conversion keywords, and reduce time spent on manual data analysis. The tools are embedded in a larger framework that supports inventory, operations, and performance tracking, making Helium 10 a multifunctional platform for scaling Amazon operations.

Key Highlights:

• AI-driven PPC campaign builder
• Keyword research with market comparison tools
• Automated listing optimization features
• Chrome extension for direct browser-based insights
  

Who it’s best fo:

• Sellers running large-scale ad campaigns
• Users seeking keyword-backed AI recommendations
• Teams managing multiple listings and SKUs
• Sellers looking to combine automation with performance tracking

5. SmartScout

SmartScout is a data intelligence tool designed to analyze the Amazon marketplace across brands, categories, sellers, and keywords. They provide a broad range of features, including brand breakdowns, advertising insights, seller histories, keyword tracking, and geographic sales mapping. The platform includes tools like Ad Spy for viewing brand-level ad performance, Traffic Graph to visualize user behavior between listings, and Keyword Detective to evaluate shared terms between listings. Their Seller Map and historical tracking tools help users assess long-term performance trends and regional sales patterns.

The AI functionality in SmartScout is built into tools like the AI Listing Architect, which generates listing content based on keyword relevance and sales factors. They also offer competitive analysis through features like Share of Voice and Smart Score, which standardize listing visibility regardless of category. SmartScout is used by a range of Amazon business models, including wholesale, private label, and brand management teams, and integrates its dataset into external systems via API and Data Lake access.

Key Highlights:

• AI-generated listing content through Listing Architect
• Access to ad strategies, keyword tracking, and seller histories
• Geographic and historical sales data mapping
• Competitive analysis with Smart Score and Share of Voice
• Integration options via API and Chrome extension
  

Who it’s best fo:

• Sellers researching brand performance and keyword trends
• Agencies conducting competitive analysis or advertising audits
• Wholesale and arbitrage users tracking sellers and regions
• Teams optimizing listings with AI-generated content
  

6. Sellesta

Sellesta is an AI-powered platform aimed at improving Amazon listings by focusing on keyword ranking and conversion rate. Their tools cover listing optimization, keyword research, and customer review analysis. The system identifies underperforming elements in a listing and recommends improvements across titles, bullet points, and generic keywords. Sellers can also benchmark their own ASINs against competitors and analyze reviews to align listings with customer expectations.

The platform is designed for usability with automated checklists and optimization flows. It supports direct input of listing URLs to receive AI-driven suggestions for improvements. By combining structured listing analysis with content suggestions, Sellesta enables sellers to quickly identify weak spots and generate improved versions of their listings. The platform also integrates review sentiment to support content refinement based on actual buyer feedback.

Key Highlights:

• Listing optimization based on keyword and review data
• Automated suggestions across titles, bullets, and keywords
• Competitor ASIN analysis and listing comparison
• Review sentiment analysis for content targeting
• Quick listing checks through direct URL input
  

Who it’s best fo:

• Sellers looking for simple, fast listing optimization
• Users who want to align listings with customer reviews
• Brands monitoring competitor performance
• Sellers handling a high number of SKUs
  

7. Quartile

Quartile offers an AI-based retail media optimization platform focused on advertising automation across Amazon and other major marketplaces. Their system uses real-time data ingestion to manage bids, placements, and performance monitoring at the product (ASIN) level. They support multi-channel advertising strategies by turning data into actionable insights that feed directly into campaign adjustments.

In addition to automation, Quartile provides strategic input through expert-managed services. This hybrid model lets sellers use AI for ad bidding and budget allocation while receiving human insight for goal setting and channel-specific recommendations. The platform includes reporting tools, dynamic bidding logic, and integration with Amazon Marketing Cloud to optimize reach and performance across ad funnels.

Key Highlights:

• AI-driven ad management with real-time bid updates
• Per-ASIN campaign optimization
• Combines automation with strategic human support
• Multi-platform advertising support
• Integration with Amazon Marketing Cloud
  

Who it’s best fo:

• Sellers running large or multi-channel ad campaigns
• Brands requiring detailed ad performance breakdowns
• Teams needing both automation and strategy guidance
• Businesses optimizing retail media budgets across platforms

8. eDesk AI

eDesk AI is a customer support tool built for eCommerce teams handling large volumes of messages across marketplaces. The platform uses AI to summarize incoming messages, classify them by topic, detect sentiment, and suggest response templates based on the nature of the issue. Support agents can quickly access relevant information like customer names, order details, and shipping status within the response window, enabling faster and more relevant replies. eDesk’s automation includes full ticket summaries and auto-prioritization to help agents focus on high-priority cases.

Their AI also supports hands-free responses by automatically applying pre-approved templates to common queries, such as returns or missing items. This setup allows teams to control which types of issues get automated replies and where human review is still needed. eDesk integrates with over 200 marketplaces and shopping platforms, keeping all support activity within one dashboard. It combines OpenAI models with proprietary rules to deliver secure, brand-specific support at scale without exposing customer data to third-party systems.

Key Highlights:

• AI summarizes and categorizes messages by type and tone
• Hands-free replies for common cases with pre-approved templates
• Smart response drafts with personalization fields
• Prioritization of tickets based on SLAs and message type
  

Who it’s best fo:

• eCommerce teams managing high message volume
• Amazon sellers with multi-channel customer support
• Brands that want to automate standard queries
• Teams focused on SLA compliance and quick reply times
  

9. VAPA

VAPA is an AI-powered platform for automating and optimizing Amazon PPC campaigns. It supports ad types including Sponsored Products, Sponsored Brands, Display, and TV across over 20 Amazon marketplaces. The platform handles automatic bid management, keyword harvesting, ASIN targeting, and campaign creation without requiring manual input. It adapts to seasonal trends by adjusting bids based on day, week, or month performance patterns. VAPA can take over existing campaigns or build new structures from scratch.

The platform includes different service tiers, from fully automated campaign execution to dedicated account management and strategic consultation. VAPA also generates ads using internal logic and automatically aligns them with retail-ready listings. With capabilities for scaling across ASINs and marketplaces, VAPA aims to reduce the time teams spend adjusting bids and managing ads, while still maintaining oversight and control through performance reviews and client-specific configurations.

Key Highlights:

• Automates campaign setup and bid management across ad types
• Supports full-scale ASIN, category, and audience targeting
• Campaign adjustments based on seasonality and performance trends
• Option to migrate and manage existing ad campaigns
• Multiple service plans, including dedicated manager and support
  

Who it’s best fo:

• Amazon sellers with large or growing ad budgets
• Teams running PPC across multiple marketplaces
• Brands looking to reduce time on manual ad operations
• Businesses needing automated scaling with performance checks
  

10. AWS Generative AI

AWS provides a set of generative AI tools and infrastructure to support businesses building applications that rely on large language models and foundation models. Key services include Amazon Bedrock for working with third-party models, Amazon SageMaker for training and deploying custom models, and Amazon Q for creating conversational assistants. These tools are designed to be integrated into existing workflows and customized for business-specific tasks like customer support automation, content generation, and conversational analytics.

AWS offers options for full-stack development and deployment of AI applications, including pre-trained models, training environments, and data infrastructure. Their generative AI solutions are built with attention to security, compliance, and scalability, making them usable across industries. Businesses can build custom AI-driven tools on top of AWS services while retaining control over how data is used and stored. Tools like PartyRock and the Generative AI Innovation Center also support experimentation and skill development for internal teams.

Key Highlights:

• Tools for building, training, and deploying AI models at scale
• Includes services like Bedrock, SageMaker, and Amazon Q
• Customizable models for various use cases and industries
• Integration with AWS infrastructure and data systems
• Support for responsible AI development with built-in guardrails
  

Who it’s best fo:

• Businesses developing custom AI applications
• Teams needing scalable infrastructure for model deployment
• Sellers exploring advanced content generation or analytics
• Companies seeking secure, compliant AI tools for internal or customer-facing use

11. Repricer.com

Repricer.com is a repricing tool for Amazon and other marketplace sellers that automates price adjustments based on real-time competitor activity. Users can configure strategies that respond to stock levels, ratings, location, and pricing of competing sellers. The tool helps sellers stay within their price limits while optimizing for the Buy Box by automatically raising or lowering prices depending on the competitive landscape. Pricing adjustments happen instantly through Amazon-hosted processing, allowing sellers to react quickly during peak periods or when competitors run out of stock.

Beyond dynamic repricing, Repricer.com includes features like Insights, which alerts sellers to stock shortages or Buy Box losses, and Safe Mode, which simulates pricing changes without publishing them. It also offers multi-channel support, enabling consistent pricing across Amazon, eBay, Walmart, and other platforms. The system provides automated reporting and strategic suggestions to fine-tune pricing decisions and maximize margin retention. Onboarding is guided and takes minimal setup time for new users.

Key Highlights:

• Automated repricing across Amazon and other marketplaces
• Safe Mode for previewing price strategy impact
• Insights for Buy Box loss, stock issues, and sales trends
• Multi-channel price replication
• Strategy configuration based on seller ratings, location, and stock
  

Who it’s best fo:

• Amazon sellers managing large inventories
• Multichannel sellers needing pricing consistency
• Teams that want full automation with manual override
• Sellers aiming to stay competitive in the Buy Box
  

12. Jungle Scout Extension

The Jungle Scout browser extension allows Amazon sellers to conduct product research directly from Amazon’s search and product pages. It displays sales estimates, competition data, historical trends, and profit projections in real time. Users can validate product opportunities by viewing metrics like monthly sales, price history, and demand levels without switching tools. Customizable overlays provide ASIN-specific insights during browsing, which helps streamline research tasks.

The extension also includes features such as Opportunity Score to evaluate product potential, and AI Review Analysis to extract common themes and concerns from customer reviews. Users can track product listings, monitor seller data, and send review requests directly through the interface. Integration with other Jungle Scout tools allows for seamless movement of data into keyword and tracking modules. The extension is designed to speed up product validation and listing optimization during the product discovery phase.

Key Highlights:

• In-browser product data for Amazon pages
• Historical sales and pricing graphs
• Opportunity Score to assess product potential
• AI-driven review analysis
• Review request feature via Seller Central
  

Who it’s best for:

• Sellers validating new product ideas
• Users needing quick competitive and sales analysis
• Teams comparing products without switching tools
• FBA sellers sending post-purchase review requests
  

13. Seller Snap

Seller Snap is an AI-based Amazon repricer that uses game theory tactics to adjust prices intelligently. Rather than undercutting competitors, the tool looks at seller behavior patterns and pricing history to avoid price wars while improving Buy Box share and margins. Sellers can define custom strategies or rely on automatic configurations that adapt to different market conditions and competitor behavior. It also calculates minimum prices using fulfillment fees, operational costs, and desired margins.

Additional features include replenishment suggestions based on sales velocity and lead time, advertising performance tracking, and multi-store management from a centralized dashboard. Seller Snap supports bulk data imports and exports, helping sellers migrate from other systems easily. The platform is designed to operate with minimal input once initial setup is complete, using continuous repricing logic to maintain competitiveness and optimize profit without manual monitoring.

Key Highlights:

• AI repricing based on competitor behavior and game theory
• Customizable strategies with profit-based minimum pricing
• Replenishment planning and ad performance tracking
• Centralized dashboard for multi-store management
  

Who it’s best fo:

• Sellers looking to avoid race-to-the-bottom pricing
• High-volume sellers managing multiple Amazon stores
• Teams needing automation plus granular control
• Businesses prioritizing margin protection over lowest price

14. Nozzle

Nozzle is an analytics platform tailored for Amazon sellers that focuses on understanding customer behavior and profitability. It provides tools to measure customer lifetime value, acquisition cost, and retention patterns over time. The platform tracks purchasing trends, helping sellers evaluate how customers interact with products across multiple transactions and determine the long-term value of each customer. Nozzle allows users to analyze performance by ASIN and uncover which products drive repeat purchases or upsell opportunities.

In addition to lifetime metrics, Nozzle supports strategic decision-making by showing gaps in marketing efficiency and helping allocate budgets more effectively. Sellers can view optimal retargeting windows, breakdowns of customer loyalty, and time to repeat purchase. This data supports remarketing strategies and campaign planning. The platform is used to refine Amazon advertising approaches and monitor how changes in spend affect customer behavior and overall retention.

Key Highlights:

• Tracks customer lifetime value and acquisition cost
• Measures repeat purchase behavior and time intervals
• Supports cohort analysis and retargeting planning
• Breaks down performance by ASIN and product group
• Helps identify marketing gaps and sales opportunities
  

Who it’s best fo:

• Amazon sellers focused on customer retention and loyalty
• Teams optimizing ad spend and customer acquisition strategy
• Brands looking to track long-term value per ASIN
• Users needing behavioral data to inform remarketing
  

15. LaunchGPT

LaunchGPT is an AI-driven listing tool designed to help Amazon sellers create optimized product listings. It generates titles, bullet points, and descriptions based on product inputs while aligning with Amazon’s SEO and formatting guidelines. Users can customize tone, keyword usage, and length to match brand style or category expectations. The tool automatically avoids banned and restricted terms to reduce the risk of content rejections.

LaunchGPT also includes keyword optimization features that ensure listings use exact-match search phrases and apply intelligent keyword combinations across the content. Advanced users can access bulk generation and track listing performance using keyword tracking tools. The platform supports Walmart listings as well, offering extended usability for multichannel sellers. Listings can be refined with optional A+ content and generated at scale depending on the selected plan.

Key Highlights:

• Generates full Amazon listings using AI
• Built-in SEO keyword optimization and formatting
• Avoids banned and restricted content automatically
• Optional tools for A+ content and Walmart listings
• Supports tone and formatting customization
  

Who it’s best fo:

• Sellers needing fast, compliant listing creation
• Users optimizing listings for SEO performance
• Brands managing large product catalogs
• Multichannel teams using Amazon and Walmart
  

16. Pixelcut

Pixelcut is an AI-powered content tool that provides visual editing and media generation capabilities for product and marketing assets. It includes background removal, image expansion, upscaling, and object removal. Sellers can use it to prepare images for product listings, advertising creatives, and branded content. The platform also supports image generation from prompts or reference images and can generate short-form videos using uploaded assets or descriptions.

In addition to individual editing tools, Pixelcut includes features for batch editing, team collaboration, and project organization. Shared folders allow multiple users to work on visual content together. The platform offers APIs for background removal, upscaling, and other tasks, making it useful for automated workflows. Pixelcut is used by businesses looking to streamline visual content production across Amazon listings, social media, and other sales channels.

Key Highlights:

• Background removal, object editing, and upscaling tools
• Image and video generation from prompts or images
• Tools for collaboration and shared asset management
• Offers APIs for integration with other systems
• Supports batch editing and automated content tasks
  

Who it’s best fo:

• Sellers needing product-ready visual assets
• Teams working on creative content for Amazon and other channels
• Businesses handling bulk content updates or image edits
• Users requiring quick turnaround for listing media files

Conclusion

AI tools have become essential for Amazon sellers who want to operate more efficiently, respond faster to market changes, and make better use of their data. From automated repricing and product research to listing optimization and advertising analytics, these solutions cover every major area of marketplace selling. By reducing manual work and offering real-time insights, AI platforms help sellers save time and focus on strategy rather than daily tasks.

Choosing the right AI tools depends on your business goals and current challenges. Whether you need to track campaign performance, optimize listings, or stay competitive on pricing, there are reliable tools available that can support each of those needs. The key is to integrate tools that give you control, visibility, and measurable results without unnecessary complexity.