AI Applications in Retail
Image and Video annotation for AI applications in Retail
Keymakr is an expert in providing annotations and creating training datasets for retail AI applications.
We specialize in custom-made training datasets for machine learning models and computer vision AI. We work with any type of video or imagery data.
AI in retail has the potential to revolutionize the shopping experience by reducing workloads for staff, aiding loss prevention and improving the customer experience.
Keymakr’s experienced managers and innovative annotation platform can ensure that AI retail solutions reach their full potential.
RETAIL VIDEO AND IMAGE ANNOTATION TYPES
We can create bespoke annotation types based on your specific requirements. Our proprietary annotation platform features the full range of annotation techniques, including image
segmentation. Our skilled annotators are familiar with all annotation tools and are capable of delivering high quality data for your artificial intelligence retail solutions.
OUR SERVICES FOR RETAIL COMPANIES INCLUDE
Retail annotations are performed by our in-house employees - trained professional annotators
Retail training data sets go through 4 layers of quality control to ensure the highest quality results
All retail annotations can have different precision levels up to “pixel-perfect”
COMMON USE CASES FOR THE RETAIL TRAINING DATASETS WE CREATE:
LOSS PREVENTION – SMART CHECKOUT
Smart checkouts are an important part of the robotization of stores. They have the potential to minimise theft by monitoring checkouts in real time and providing security staff with information
Accurately monitoring each item passing through the checkout requires pixel perfect image annotation in training data sets
Move the bar to see the annotation magic happen
Move the bar to see the annotation magic happen
REAL-TIME VIEW OF STORE AND FIELD PERFORMANCE
Receive real-time situational alerts about what’s happening on the shelf, like missing products or empty spaces
Identifying low shelf share in the store
Inventory management
Planogram improvements
Instance segmentation annotation powers this technology by allowing AIs to distinguish between individual items
SENTIMENT ANALYSIS
Analyze facial expressions to understand customer sentiment towards the promotions and products on shelves
This promising use case of machine learning in retail is made possible by video annotation with skeletal annotation techniques
Keymakr’s annotation platform allows video footage to be annotated accurately and efficiently
ANALYZING IN-STORE TRAFFIC
Map shoppers’ paths around the store to optimize the placement of products and promotions
Capture rate of pass-by traffic and measure how many shoppers walked through the store, and measure which promotions capture engagement
FACE RECOGNITION
Identify regular customers, and reward loyal customers
Remember customer’s purchasing history and preferences, and make personalized product recommendations
Facial recognition technology is made possible with key point annotation that identifies facial features in AI training images
Professionally managed teams can annotate video and image data of customer expressions to pixel-perfect levels of detail
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