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Precision, consistency, and AI-driven quality assessment for every tea blend using automation.
Wagh Bakri's Tea Testing Automation System revolutionizes traditional tea tasting by blending sensory expertise with analytics. By automating evaluation cycles, platform significantly improved consistency and accuracy across production batches.
Faster Evaluation Cycle
Blend Uniformity & Tracking
Accuracy in Scoring
Batch-wise Reporting
Designed to enhance efficiency and preserve authenticity of tea quality assurance.
Record sensory notes via mobile or web.
Assigns objective scores based on taste and aroma.
Access testing data ensuring flavor consistency.
Automated notifications for blend deviations.
Team reviews and batch approval workflows.
Secure storage of tasting records.
Digitizing sensory processes posed unique challenges in standardizing subjective assessments.
Translating human perception into measurable metrics.
Managing uniform testing across multiple plants.
Maintaining secure digital records of batches.
Advanced automation framework reimagines sensory testing through machine learning and cloud architecture.
Analyze tasting data patterns for predictive quality control and consistent benchmarking.
Connect sensors and digital scales for accurate, real-time measurements ensuring precision.
