Case Study: PepsiCo’s NVIDIA AI-Powered Leap into Precision Automation
Overview
PepsiCo collaborates with KoiReader Technologies and NVIDIA to integrate AI-powered automation into its distribution operations, aiming for enhanced precision and efficiency.
The Challenge
In dynamic distribution environments, PepsiCo faces the challenge of reading warehouse labels accurately and efficiently, especially amidst varied label sizes, angles, and occlusions.
The Solution
KoiReader’s cutting-edge machine vision technology, powered by NVIDIA, addresses this challenge by enabling efficient reading of warehouse labels and barcodes. This solution, currently deployed in PepsiCo’s Dallas-Fort Worth distribution centre, utilises deep learning algorithms to ensure near-perfect accuracy in label scanning and validation of customer deliveries.
Benefits & Results
The implementation of KoiReader’s AutonomousOCR technology means that PepsiCo’s warehouse workers and distribution centre operators, benefit from improved efficiency and accuracy in their daily operations. KoiReader’s technology offers real-time insights, accurately tracks products, optimises packing processes, and provides valuable data for enhancing overall throughput and operational efficiency. Additionally, NVIDIA’s comprehensive AI stack ensures seamless deployment, scalability, and management of AI applications, empowering PepsiCo to navigate its digital transformation journey with confidence.
Testimonial
“The KoiVision Platform was built to deliver logistics, supply chain, and industrial automation for enterprise customers. Our solution suite is helping PepsiCo improve operational efficiency and accuracy in its distribution process”
– Ashutosh Prasad, founder and CEO of KoiReader
This case study first appeared on nvidia.com
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