#161. Mastering Market Insights: Leveraging Particl’s AI for Smart Product Strategies
Written by Vira Sadlak
Podcast
3 min read
Contents
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Join our host Vira Sadlak and Particl’s Ben Reynolds as they explore the power of AI’s real-time insights, from optimizing market research to propelling successful product strategies.
About today’s guest
Ben Reynolds is a Head of Partnerships and Sales Development in Particl, an eCommerce database that allows you to access real-time product sales and pricing data.
You’ll learn
How to use Particl to research market-product fit?
How to use Particl to make faster and more secure decisions using real-time SKU data instead of months of research
How Chubbies successfully launched new SKUs by switching from shorts to pants through AI-driven data analysis
How demand fluctuates with changes in price and how AI can help address that
How to use AI to discover valuable price point insights for your products
How to use Ai-driven data to strategizing BFCM discounts
Some of the questions we ask:
How is real-time market data changing how we research products?
Do AI tools oversimplify product research, missing out on complex market dynamics?
How can AI help understand competitors’ products and prices better?
Why is tracking inventory at a detailed level so helpful for businesses?
How does historical data help businesses predict and respond to competitors?
How does AI prevent businesses from selling too many similar products?
How can AI find failed products and stop similar ones in the future?
How does Particl AI predict if a product will succeed?
Why is real-time market data important for business decisions?
How does “Historical Data” help brands understand trends?
How does data analytics help create better products?
How does AI help businesses price their products better?