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Put a logo on an image
Planogram Complaince Checker

Planogram Complaince Checker

Identify logos and objects in images

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What is Planogram Complaince Checker ?

Planogram Compliance Checker is a cutting-edge AI-powered tool designed to ensure retail compliance by verifying that product placements match predefined planograms. It uses advanced image recognition to identify logos, objects, and products within images, helping to maintain visual merchandising standards. This tool is essential for retailers, brands, and merchandisers to monitor store layouts and ensure consistency across multiple locations.

Features

• AI-Powered Image Recognition: Accurately identifies logos, products, and objects in images.
• Object Detection: Automatically detects misplaced items or missing products in store layouts.
• Planogram Comparison: Compares real-world product placements against digital planograms.
• Compliance Reporting: Generates detailed reports highlighting discrepancies and suggesting corrections.
• Integration Capabilities: Works with existing retail management systems for seamless implementation.

How to use Planogram Complaince Checker ?

  1. Upload an Image: Capture and upload a photo of the store shelf or product display.
  2. Select a Planogram: Choose the corresponding digital planogram for comparison.
  3. Run the Analysis: The AI will analyze the image and compare it to the selected planogram.
  4. Review the Report: Check the detailed report highlighting compliance issues and suggested adjustments.
  5. Take Action: Use the insights to correct the product placements and ensure compliance.

Frequently Asked Questions

What types of images can I upload?
You can upload high-quality JPG or PNG images of store shelves or product displays. Ensure the images are clear and well-lit for accurate analysis.

How accurate is the Planogram Compliance Checker?
The tool uses advanced AI algorithms to ensure high accuracy. However, image quality and clarity can impact results.

Can I export the compliance report?
Yes, reports can be exported in PDF or CSV format for further analysis or sharing with teams.

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