Artwork

Content provided by mike giambattista and Mike giambattista. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by mike giambattista and Mike giambattista or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Art and Science of Smart Planogramming

27:32
 
Share
 

Manage episode 485498343 series 3481684
Content provided by mike giambattista and Mike giambattista. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by mike giambattista and Mike giambattista or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What if your planograms could adapt to each store's unique inventory and fixtures in real-time? That's exactly what Optimum Retailing has achieved with RealGram, the first AI-powered store-specific planogramming tool that's fundamentally changing how retailers approach merchandising.
Justine Melman, CMO at Optimum Retailing, joins Customerland to reveal how RealGram bridges the persistent gap between merchandising plans and in-store execution. "Stores obviously know what their sales data is. They know what product is selling at each store. That's not anything new. What they don't know is why," explains Melman. This crucial insight drives RealGram's approach to what they call "precision merchandising."
The traditional planogramming process has always been inefficient – visual merchandisers design planograms, save them as static PDFs, and distribute them to hundreds or thousands of stores with different layouts, fixtures, and inventory levels. RealGram transforms this model by allowing merchandisers to create a single planogram that automatically generates unique versions for each store based on their actual inventory and fixture capacities. When inventory changes, the planogram updates in real-time, ensuring store teams always have an executable plan.
Beyond improved execution, RealGram provides unprecedented retail intelligence by connecting sales performance with specific store zones, fixtures, and product placements. The system's automated photo compliance uses AI image recognition to verify planogram execution, dramatically reducing the manual labor of compliance checking. Integration capabilities extend to RFID technology for real-time product tracking and digital signage that can respond to customer interactions – imagine displays that automatically update to showcase the blue shoe a customer just picked up instead of the red one featured in the original planogram.
Contrary to fears about AI replacing jobs, Melman emphasizes that RealGram aims to enhance retail professionals' capabilities: "We're looking at what we're offering as a way to make their jobs easier, make them more efficient, make them more profitable, make them more successful."

  continue reading

Chapters

1. Understanding the "Why" Behind Sales Data (00:00:00)

2. Introducing RealGram: AI-Powered Store-Specific Planogramming (00:01:04)

3. How RealGram Integrates with Store Systems (00:03:25)

4. AI Making Jobs Easier, Not Replacing People (00:10:32)

5. From Static PDFs to Dynamic Store-Specific Plans (00:12:54)

6. Creating Actionable Retail Intelligence (00:17:40)

7. Integrating with RFID and Digital Signage (00:22:08)

8. Personalizing In-Store Customer Experiences (00:26:46)

117 episodes

Artwork
iconShare
 
Manage episode 485498343 series 3481684
Content provided by mike giambattista and Mike giambattista. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by mike giambattista and Mike giambattista or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What if your planograms could adapt to each store's unique inventory and fixtures in real-time? That's exactly what Optimum Retailing has achieved with RealGram, the first AI-powered store-specific planogramming tool that's fundamentally changing how retailers approach merchandising.
Justine Melman, CMO at Optimum Retailing, joins Customerland to reveal how RealGram bridges the persistent gap between merchandising plans and in-store execution. "Stores obviously know what their sales data is. They know what product is selling at each store. That's not anything new. What they don't know is why," explains Melman. This crucial insight drives RealGram's approach to what they call "precision merchandising."
The traditional planogramming process has always been inefficient – visual merchandisers design planograms, save them as static PDFs, and distribute them to hundreds or thousands of stores with different layouts, fixtures, and inventory levels. RealGram transforms this model by allowing merchandisers to create a single planogram that automatically generates unique versions for each store based on their actual inventory and fixture capacities. When inventory changes, the planogram updates in real-time, ensuring store teams always have an executable plan.
Beyond improved execution, RealGram provides unprecedented retail intelligence by connecting sales performance with specific store zones, fixtures, and product placements. The system's automated photo compliance uses AI image recognition to verify planogram execution, dramatically reducing the manual labor of compliance checking. Integration capabilities extend to RFID technology for real-time product tracking and digital signage that can respond to customer interactions – imagine displays that automatically update to showcase the blue shoe a customer just picked up instead of the red one featured in the original planogram.
Contrary to fears about AI replacing jobs, Melman emphasizes that RealGram aims to enhance retail professionals' capabilities: "We're looking at what we're offering as a way to make their jobs easier, make them more efficient, make them more profitable, make them more successful."

  continue reading

Chapters

1. Understanding the "Why" Behind Sales Data (00:00:00)

2. Introducing RealGram: AI-Powered Store-Specific Planogramming (00:01:04)

3. How RealGram Integrates with Store Systems (00:03:25)

4. AI Making Jobs Easier, Not Replacing People (00:10:32)

5. From Static PDFs to Dynamic Store-Specific Plans (00:12:54)

6. Creating Actionable Retail Intelligence (00:17:40)

7. Integrating with RFID and Digital Signage (00:22:08)

8. Personalizing In-Store Customer Experiences (00:26:46)

117 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play