AI applications in retail

What Keymakr can do for you

Keymakr is an expert in providing retail annotations and creating training datasets for retail applications for building machine learning models and visual AI.

We specializes in custom-made Training Datasets for Machine Learning models and Computer Vision AI. We work with any video or imagery data.

Supermarket image annotation example
Supermarket data annotation Supermarket image annotation example

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Our Services FOR RETAIL COMPANIES include

Retail Annotation


Retail Data Labeling


Retail Data Validation


Retail Data Classification


Retail Data Collection

Data Collection

  • The retail annotations are performed by our in-house employees - trained professional annotators.
  • The retail training data sets go through 4 layers of quality control to ensure the highest quality of the results
  • All retail annotations could have different precision levels up to “pixel-perfect”

Retail Video and Image annotation types

Annotated Bounding Box for Retail
Annotated Skeletal for Retail
Annotated Polygon for Retail
Annotated Segmentation for Retail

We can create new types based on your specific requirements

Common use cases for the Retail Training Datasets we create:

Image Annotation for Retail Stores
Retail Store Image Annotation for Retail Stores

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Loss prevention – smart checkout

Real-time view of store and field performance

  • Receive a 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

Sentiment analysis

  • Analyze facial expressions to understand customer sentiment towards the promotions and products on shelves

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, which measures promotions capture engagement and gives you a better view of promotional insights

Face recognition

  • Identify regular customers, reward loyal customers who frequent the store and spend time in it
  • Remembering customer’s purchasing history and preferences for making personalized product recommendations specific to each client

Our Partners & Clients


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