Empty spaces in a supermarket hanger Computer Vision Project
Updated 2 months ago
Here are a few use cases for this project:
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Inventory Management: With the use of this model, retail managers could dynamically track product availability on supermarket shelves. By identifying which sections are empty, they can streamline restocking processes.
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Customer Shopping Experience Improvement: The model could be used within a smartphone application to guide customers directly to stocked items they are searching for, and inform them in real-time if any items are out of stock.
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Predictive Analytics for Supply Chain: By integrating this model with sales and supply chain data, it could assist in predicting future missing stock scenarios, contributing to smoother supply chain operations and avoiding customer disappointments.
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Shelf Space Optimization: The model can be used by store managers to understand consumer behavior and optimize shelf space by recognizing patterns in which products are often missing from shelves.
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Automated Checkout Systems: Integrating this model within an automated checkout system, the system could recognize when a product has been taken off the shelf and add it immediately to the customer's virtual basket, creating an efficient checkout process.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
empty-spaces-in-a-supermarket-hanger-1upsp-yehho-94eco_dataset,
title = { Empty spaces in a supermarket hanger Dataset },
type = { Open Source Dataset },
author = { Harsh Nayak },
howpublished = { \url{ https://universe.roboflow.com/harsh-nayak-kbnby/empty-spaces-in-a-supermarket-hanger-1upsp-yehho-94eco } },
url = { https://universe.roboflow.com/harsh-nayak-kbnby/empty-spaces-in-a-supermarket-hanger-1upsp-yehho-94eco },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-11-11 },
}