Short-form podcast for the busiest retailers and decision-makers on the go.
What’s hot. What’s next. What’s working.
All the retail intelligence you need in less time than your morning coffee.
The Live Dashboard: The End of Guesswork in U.S. Retail
A five-minute deep dive into the real-time dashboard that’s rewriting the rules of retail.
We break down how ShopperAI’s live OSA insights, response-time tracking, heatmaps, and branch-by-branch visibility are giving retailers the operational truth they’ve never had, and why those without it are already falling behind.
-------
Powered by ShopperAI (https://shopperai.ai/), the execution layer for modern retail.
Visit our Website (https://shopperai.ai/)
Follow us on LinkedIn (https://www.linkedin.com/company/14058778)
Follow Lanor Daniel - ShopperAI Founder & CEO on LinkedIn (https://www.linkedin.com/in/lanor-daniel/)
Follow Alon Barak - ShopperAI Head of Marketing on LinkedIn (https://www.linkedin.com/in/alon-barak/)
25 Sept 2025
From ARR to NDR: Why Two-Sided Monetization Wins
Every VC loves ARR, but the true measure of endurance is NDR, customers who not only stay, but expand.
In this episode, we unpack why two-sided monetization models (think Uber, Airbnb, Google) create bulletproof retention, and how the same mechanics are transforming retail tech.
From real-time shelf visibility to CPG data monetization, one dataset can serve two payers, retailers and brands, compounding ROI.
Monetize one side, you grow. Monetize both, you dominate.
-------
Powered by ShopperAI (https://shopperai.ai/), the execution layer for modern retail.
Visit our Website (https://shopperai.ai/)
Follow us on LinkedIn (https://www.linkedin.com/company/14058778)
Follow Lanor Daniel - ShopperAI Founder & CEO on LinkedIn (https://www.linkedin.com/in/lanor-daniel/)
Follow Alon Barak - ShopperAI Head of Marketing on LinkedIn (https://www.linkedin.com/in/alon-barak/)
7 Aug 2025
Forget B2C. The future is B2A - The Age of Agentic Commerce
In this episode, we’re exploring why the winners of tomorrow won’t be the ones with the best dashboards, but the ones who can close the loop between digital decisions and physical execution.
The ones building the last-mile brain for retail.
Agentic commerce is here , where AI agents detect, decide, and deliver autonomously.
But without real-time shelf data, even the smartest systems fail at the point of execution.
This is where the game will be won: not with insights, but with action.
Let’s dive in.
3 Jun 2025
What Happens When Retailers Use AI to Watch Their Shelves 24/7
This episode examines how retailers utilize AI and existing camera systems to monitor shelves continuously, aiming to identify gaps, alert staff, and recover potential revenue.
20 May 2025
ShopperAI’s Philosophy: The Age of Empowered Teams Has Begun
ShopperAI's philosophy emphasizes a human-first retail approach, transforming stores into AI-powered care environments where empowered teams enhance shopper experiences through better, faster decisions.
18 May 2025
FloorRestock by ShopperAI – The Solution That Turns Your Existing Store Cameras into Real-Time Shelf Monitors
FloorRestock by ShopperAI utilizes existing store cameras to provide real-time shelf monitoring, enabling retailers to instantly detect gaps and recover lost sales.
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Spotify
5.0 / 5
1 ratings
Podcast Authority Score: 30 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
48
Social presence
0
YouTube
0
Engagement
32
Contact Real-Time Retail
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Real-Time Retail?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine