Farmers and distributors faced major hurdles in manual orange sorting:

– Inconsistent grading led to customer complaints and returns.
– Time‑consuming processes increased labor costs and slowed order fulfillment.
– Lack of real‑time insights made it hard to manage inventory and match supply with demand.
They needed an automated, accurate, and scalable way to classify fruit quality at scale.

NKKTech Global engineered an end‑to‑end AI solution tailored for the citrus industry:

– Computer Vision & Machine Learning
Trained convolutional neural networks on thousands of annotated orange images to achieve >95% classification accuracy.
– IoT Sensor Integration
Deployed smart cameras and weight/color sensors in packing lines for real‑time data capture.
– Cloud‑Native Platform
Built on AWS with auto‑scaling microservices, ensuring low latency and high availability during peak harvest.
– User‑Friendly Interface
Designed a responsive web and mobile dashboard allowing operators to review classifications, adjust thresholds, and export batch reports.

The smart classification platform delivered transformative impacts:

– 99% Grading Consistency
Reduced customer complaints by 65% thanks to uniform quality standards.
– 50% Faster Throughput
Automated sorting processes cut manual labor time in half.
– 30% Waste Reduction
Early detection of sub‑standard fruit minimized spoilage and over‑sorting.
– Real‑Time Insights
Operators gained live dashboards for inventory management, boosting order accuracy and fulfillment speed.

This innovative approach by NKKTech Global not only optimized operations for growers and distributors but also redefined efficiency in the global fruit trading market.