Transforming In-Store Customer Insights: How SUPA Achieved 98% Accuracy in Tracking Customer Journeys

Problem

The Client needed a labeling partner to track and analyze in-store customer behavior, helping retailers gain insights into how customers navigate and spend time in stores.

Solution

SUPA provided a team of annotators, leveraging an automated task distribution system and proprietary Quality Scorecard, to accurately identify, tag, and merge customer journeys with over 98% accuracy.

Result

SUPA's high-accuracy labeling improved the Client's model performance in mapping customer journeys and understanding behavior across global retail stores.

The Problem

The Client partners with major international retail stores to analyse their in-store customer behaviour. They required a labeling partner to identify customers in the store and track their journey, in order to help retailers gain insights into how their customers navigate and spend their time in the store.

The Solution

SUPA provided a dedicated team of annotators to work on the Client's platform, through our automated task distribution system – assigning the correct annotators for the project using SUPA’s proprietary Quality Scorecard. 

SUPA’s team were able to accurately identify and tag customers, as well as merge their individual images to create a complete customer journey with over 98% accuracy. With SUPA’s flexible workforce, the Client continues to easily scale their labelling requirements as needed.

The Result

By achieving over 98% accuracy in identifying, tagging, and merging each customer’s journey, SUPA has significantly improved the Client’s model performance in mapping the customer’s journey for their clients, and understanding their behaviours in stores across the world.

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