Particl Retail Intelligence Howto
Particl is an AI-powered retail intelligence platform that automates competitor analysis by tracking real-time sales, pricing, inventory, and market trends across thousands of e-commerce retailers.
View MoreHow to Use Particl Retail Intelligence
Sign up for an account: Go to app.particl.com/auth/signUp to create a new account and get started with a 14-day free trial.
Set up your dashboard: Configure your dashboard by selecting the competitors and product categories you want to track.
Explore real-time market data: Use the dashboard to view real-time sales, pricing, inventory, and sentiment data across your selected competitors and categories.
Analyze product assortments: Utilize the assortment analysis tools to identify gaps in your product lineup and opportunities in the market.
Benchmark performance: Compare your products against competitors using the AI-powered benchmarking tools to see how you stack up.
Identify trends: Use the trend analysis features to spot emerging trends and top-performing products in your market.
Generate reports: Create customized reports with visualizations to share insights with your team.
Get AI-powered recommendations: Leverage the Copilot AI assistant to get automated insights and recommendations for your product strategy.
Research new product opportunities: Use the product research tools to identify potential new products to launch based on market data.
Optimize pricing: Analyze competitor pricing data to inform and optimize your own pricing strategies.
Particl Retail Intelligence FAQs
Particl is a retail intelligence platform that helps retailers automate competitor intelligence using AI and data. It tracks sales, inventory, pricing, assortment, and sentiment across e-commerce to provide insights on market trends and opportunities.
Particl Retail Intelligence Monthly Traffic Trends
Particl Retail Intelligence experienced a 10.4% decline in traffic, reaching 142K visits. Despite recent updates and improvements to BasicSwap's user interface and multi-net support, the traffic decline suggests that these enhancements may not have significantly impacted user engagement. Alternatively, increased competition or changes in user behavior could have contributed to the drop.
View history traffic
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