Retail Data Annotation Services
Retail Annotation Examples
Some of the world’s leading companies are already leveraging retail data annotation to gain a competitive edge and deliver exceptional customer experiences.
What We Offer
Mindy Support can help you unlock the full potential of your AI projects with our high-quality retail annotation services, ensuring precise and reliable training data for superior model performance. This includes services like:
Engine Search Evaluation
- Evaluating the relevance of customer search results for various products and which products are shown on the website or store interactive dashboards
- Interpreting the users’ search intent and label the search results according to whether they satisfy that intent (ex. navigational, informal, informational etc.)
- Assessing the quality of the content produced by the search results which involves checking if the content is trustworthy, comprehensive, and well-written
NLP for Sentiment Analysis
- Text processing to clean and structure the text by breaking it down into individual words and phrases.
- Sentiment classification which uses predefined rules or lexicons to classify the text.
- Context understanding with methods such as part of speech tagging (POS), named entity recognition, dependency parsing and other techniques.
OCR Annotation
- Annotating text within images, such as product labels, receipts, and in-store signage. Enables digital cataloging, automated data entry, and improved customer service tools.
- Text Transcription where we type out the exact text present in each detected region, which serves as the ground truth for the OCR system
- Bounding box annotation – Manually label each text region, drawing boxes around words, lines, or paragraphs, depending on the granularity required. Each bounding box is associated with the actual text it contains.
Entity Annotation for Product Recommendations
- Annotating entities in product descriptions, customer queries, and transaction data. This facilitates better product recommendations, search accuracy, and personalized shopping experiences.
- Tagging the identified entities in the text to provide structured data that helps recommendation engines product relationships and user preferences.
- Annotating product attributes such as price, color, size or technical specifications that are important for product recommendations.
Video Annotation for In-Store Analytics
- Annotating video footage to track customer movements, shelf engagement, and product interactions in stores. Used for optimizing store layouts, improving product placements, and enhancing customer experiences.
- Action and event annotation to assist with things like the implementation of anti-theft solution in the stores, product restocking and transitions at checkout.
- Zone and area annotation within the store such as checkout areas, product aisles, promotional displays, entrance and exit zones, etc.
Try On
- Pose detection by labeling keypoints on the human body (e.g., shoulders, elbows, knees) to capture the posture and body movements of customers as they try on items.
- Object and apparel detection by labeling different types of clothing items (e.g., shirts, pants, shoes, accessories) being tried on by customers.
- Movement tracking – Labeling movements like spinning, bending, or adjusting clothing to see how the item fits during different activities
Industries We Serve
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Our Global Presence
Global recruitment options enable companies to tap into multilingual teams for their Data Annotation for LLM and Customer Support services. Our extensive language services empower businesses to efficiently handle data and convey messages worldwide, transcending cultural and time zone barriers.
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We have a minimum threshold for starting any new project, which is 735 productive man-hours a month (equivalent to 5 graphic annotators working on the task monthly).