Grocery Store Solutions with Precise Annotation

By Gülsevim Dinler
Published in Use Cases
September 28, 2023
2 min read
Grocery Store Solutions with Precise Annotation

At Co-one, our data annotation services bring a transformative edge to retail analytics, unlocking a new realm of insights and efficiency. Leveraging advanced annotation techniques, we empower businesses to elevate their understanding of retail operations and customer behavior.

Bounding Box Annotation: Precision in Product Analysis


Our bounding box annotation enables accurate labeling of products on shopping mall shelves, enhancing product recognition and detection. With precise shopping cart tracking and shelved product identification, businesses gain a granular view of product placement, inventory management, and customer preferences. Barcode analysis further streamlines checkout processes, ensuring seamless transactions.

Grocery Cart Annotation

  • This use case involves the application of the bounding box annotation technique to products placed within shopping carts, facilitating the identification of items selected from specific shelves and categorization.

Polygon/Segmentation Labeling: In-depth Shelf Analysis and Customer Behavior

Our polygon/segmentation labeling dives deeper into shelf product analysis. By detecting gaps in shelves, businesses can optimize shelf arrangements for maximized visibility and inventory organization. Furthermore, this technique allows for behavioral insights into customer movements and preferences, contributing to informed marketing strategies and in-store layout enhancements.

Key Point Annotation: Understanding Customer Interactions

Key point tagging extends insights into customer interactions within the retail environment. From estimating poses of individuals purchasing products in-store to comprehending customer behaviors, this annotation method offers a holistic perspective on customer engagement, enabling personalized shopping experiences and tailored marketing initiatives.

Posture Annotation in Grocery

  • In this case, customers in the grocery store were tagged with the key-point tagging method by Co-one. In this way, many more customer analyses such as the behavior of customers, their tendency to buy which products, and how long they spend in which sections can be accessed.

Line Labeling: Tracking Shelf Layout and In-Store Paths

Our line labeling method traces shelf lines and in-store paths, offering a clear visualization of store layouts and foot traffic patterns. This information is invaluable for optimizing store layouts, enhancing customer flow, and strategizing product placements for optimal visibility and accessibility.

Classification: Enhancing Product Understanding

By carefully classifying products through annotation, we facilitate a deeper understanding of product categories. This classification not only aids in inventory management but also empowers businesses to make data-driven decisions for stock replenishment, marketing campaigns, and customer engagement strategies.

Product Detection Annotation

  • In this use case, the bounding box method and the categorization technique were used for product detection. In this way, an improved experience can be provided to customers at the checkout stage, thanks to fast product detection. In addition, customer satisfaction can be increased by reducing the waiting times at the cash registers.

Text Labeling: Enriching Product Information

Our text labeling services extend to enriching product information. By labeling receipts and invoices, we enhance data extraction for financial analysis and inventory tracking. Additionally, our product type enrichment involves adding features such as color, weight, price, and brand, providing comprehensive insights for effective inventory management and customer engagement.

Co-one’s data annotation solutions revolutionize the retail landscape, offering the analytical tools required to decode customer behavior, optimize store layouts, and drive business growth. With our precise and tailored annotations, businesses can harness the power of AI-driven insights, ultimately enhancing the retail experience for both customers and retailers.

Ready to elevate your retail insights? Experience the future of retail analytics with Co-one’s advanced data annotation solutions. Whether you’re aiming to optimize product placement, understand customer behavior, or streamline inventory management, our tailored annotations empower you with accurate and actionable insights. Unlock the potential of AI-driven retail intelligence and take your business to new heights. Contact us today to embark on a journey of data-driven success!


Tags

Bounding BoxShelf Analysisproduct recognitionshopping cart trackinginventory trackingproduct categorizationClassification
Previous Article
Karaca x Co-one Collaboration | Data Filtering in E-commerce
Gülsevim Dinler

Gülsevim Dinler

Data Delivery & Solution Team Lead

Table Of Contents

1
Bounding Box Annotation: Precision in Product Analysis
2
Polygon/Segmentation Labeling: In-depth Shelf Analysis and Customer Behavior
3
Key Point Annotation: Understanding Customer Interactions
4
Line Labeling: Tracking Shelf Layout and In-Store Paths
5
Classification: Enhancing Product Understanding
6
Text Labeling: Enriching Product Information

Related Posts

Facilitating AI-Driven Real Estate Sales | Homster's Success Story with Co-one's Data Annotation Expertise
January 09, 2024
2 min