Category AI Insights - Guide

How It Works

Category AI Insights leverages the DeepSeek large language model to interpret SellerSprite’s category data. At its core, this feature performs multidimensional data integration and correlation analysis. It not only evaluates data modules like market size, demand trends, competitive landscape, and success factors individually, but also connects them systemically to provide logical, evidence-based insight.

By uncovering the relationships between data points, the AI reveals hidden patterns and forms a coherent evidence-based analysis — delivering a complete, actionable overview of your selected category.

Why You Need Category AI Insights

Most tools focus on telling you what happened. But what you really need is what’s likely to happen, and what you should do about it.

That’s where Category AI Insights comes in — designed to balance:

• Descriptive Analysis – Understand the current state of a category through accurate, structured data.

• Predictive Analysis – Spot emerging trends, potential opportunities, and upcoming risks.

• Prescriptive Analysis – Most importantly, AI turns insights into concrete recommendations and strategic action plans.

With AI as your research assistant, you can move confidently from understanding the data to making the right moves.

Core Value & Benefits

Category AI Insights helps you quickly and deeply understand any product category and translate complex data into a clear, strategy-ready action plan. It not only saves 99% of your research time but also delivers data-backed insights to help you:

• Identify Category Opportunities – Instantly assess if a category is worth targeting

• Define Product Strategy – Identify differentiation points like material, function, or theme

• Avoid Risks – Flag high return rates, seasonality, and other risks in advance

• Connect to Supply Chains – Use industrial belt insights to connect Amazon demand to real-world supply

   

How to Use Category AI Insights

Method 1: Generate Via [Category Insights] (Recommended for Exploring New Categories)

1. Go to the Category Insights page on SellerSprite web version

2. Enter a target keyword (e.g., “tea light holders”) or navigate to a subcategory

3. Open the analysis report and click AI Insights

    

Data Source: Top 100 ASINs in the selected subcategory by sales volume 

Use Case: Explore new categories, analyze different timeframes, identify emerging opportunities

Method 2: Generate Via [Amazon BSR Page] (Best for Real-Time Category Performance)

1. Visit the BSR page for the category you’re interested in

2. Click Category Insights to generate a report based on the Top 100 products on the BSR page

3. Click AI Insights within the report

    

Data Source: Amazon BSR Top 100 Use Case: Understand real-time category dynamics, benchmark top sellers and their strategies

Method 3: Generate Via [My Product List] (Best for Custom Competitive Analysis)

1. Go to My Product List (or add products directly from Amazon pages)

2. Select ASINs to analyze

3. Click AI Insights from the generated report

    

Data Source: Only the ASINs you add — creating a fully customized category segment Use Case: Deep competitor analysis, niche product comparisons, internal product line optimization

Free Usage Limits

• Free users: 10 AI reports or follow-up questions per day

• Paid users: 100 per day

   

Category AI Insights Modules Explained

1. Category Overview & Scale

• Understand maturity, scale, velocity, ASP

• AI connects ASP with seasonality and reviews for layered analysis

2. Demand & Trends

• Seasonality, core keywords, search-to-purchase rate, return rate

• AI links high return rates with product materials and suggests improvements

3. Competitive Landscape

• Brand/Seller concentration, new entrants, seller regions

• AI recommends entry strategies or brand differentiation when needed

4. Key Success Factors & Strategic Insights

• Ratings, reviews, A+/video usage, FBA rate

• AI evaluates importance of each based on category maturity

5. Opportunities & Subcategories

• Materials, functions, design themes, seasonal triggers

• AI suggests product ideas based on unmet needs and trends

6. Risks & Challenges

• Return rates, saturation, seasonality, review difficulty

• Pre-launch red flags and market traps

7. SWOT Analysis

• Strategic-level summary of Strengths, Weaknesses, Opportunities, and Threats

8. Industrial Belt Reference

• Sourcing hotspots in China based on product type

• e.g., glassware → Zibo, ceramics → Dehua

9. Category Entry Strategy

• AI’s checklist for go-to-market: positioning, pricing, branding, reviews, promotions

10. Summary

• One-paragraph recap of the full analysis

Use Cases

Use Case 1: Evaluate Multiple Categories Quickly

When to use: You’re choosing between multiple product ideas (e.g., yoga mats, air fryer liners, pet water fountains)

How to Use:

1. Generate an AI report for each keyword

2. Eliminate weak categories, dive deeper into promising ones with Category AI Insights

Value: Cut days of research into minutes — focus on what matters

Use Case 2: Enter a Crowded Category with a Differentiated Product

When to use: You want to enter a saturated space (e.g., tea light holders) with a unique angle

How to Use:

1. Focus on Opportunities & Subcategories for product inspiration

2. Validate direction by analyzing new entrants and success factors

Value: Avoid the price war. Find your niche within the category using AI-driven insights.