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?
Links mentioned in this episode
Meet your host
Vira Sadlak
Podcast host, marketer, traveller and a life lover from Vancouver, Canada
When she’s not at her computer, conquering the world of e-commerce email-marketing, you can find her climbing one of the Pacific Northwest Ranges.
Alternatively, try her email at vi**@*****um.com, and she’ll probably shoot you back a list of her favorite cat videos.
