Dabur POSM Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Retail Shelf Analysis - This computer vision model can be used for real-time tracking and analysis of the stock and display of Dabur products on the shelves in supermarkets and convenience stores. It can indicate which products are out of stock, need restocking, or improperly arranged on the shelves.
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Sales and Marketing Strategy - Businesses and marketers can use the input from this model to understand which Dabur products are more popular and get picked up faster from shelves. Comparing these results over different geographical locations could help in making region specific marketing strategies.
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Competitive Analysis - Retailers can use this system to track the shelf space competition between Dabur and other competitors' products. This would help in deciding the placement of products in a way which could lead to increased sales.
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Quality Assurance - Dabur can use this model to maintain quality control. Ensuring that each retail store is following the correct shelf talker placement and that the POSM classes are presented in a way that meets Dabur's merchandising standards.
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Customer Behavior Analysis - Researchers could use this model to study how quickly different Dabur products are picked from shelves, allowing them to understand consumer behavior and preference for various Dabur products. This can further assist in product development and pricing strategies.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dabur-posm_dataset,
title = { Dabur POSM Dataset },
type = { Open Source Dataset },
author = { DaburPOSM },
howpublished = { \url{ https://universe.roboflow.com/daburposm/dabur-posm } },
url = { https://universe.roboflow.com/daburposm/dabur-posm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-21 },
}