Streamline orders with sustainable packaging

Introduction

The Amazon Web Services (AWS) cloud-based multimodal AI algorithm can determine whether a blanket needs protective packaging or whether tableware needs a study box. It learns about Amazon’s changing packaging options using deep machine learning, natural language processing and computer vision. Amazon experts say it usually predicts the most efficient package choice.

Amazon sells hundreds of millions of things, from camping tents to holiday sweaters, and artificial intelligence likely chooses the box or mailer that arrives at the customer’s doorstep.

The Package Decision Engine, an AI model that Amazon created, helps reduce the number of cardboard boxes, bubbles, tape and mailers needed to ship items by determining the most economical packaging for each item it learns. The model shows how the organization uses AI to achieve sustainability goals faster, minimize packaging, improve deliveries and preserve products during delivery. Since 2015, this approach and other packaging advances have helped Amazon avoid more than 2 million tons of packaging material.

Read: AITHORITY Weekly Roundup – AI news that went viral this week

Why is this news important?

Each item is examined in several steps by the Packet decision engine. When an item comes to the Amazon Fulfillment Center, a computer vision tunnel measures it, detects errors and takes several photos. The model can also detect a bag, box or visible glass. The model uses natural language processing and text-based data of each item, such as name, description, price and package dimensions. It also collects near real-time customer feedback through Amazon’s Online Returns Center, product reviews and other channels.

Advantages

1. SustainabilityAmazon’s AI-powered Package Decision Engine reduces packaging waste, helps achieve sustainability goals and avoids more than 2 million tons of packaging material since 2015.

2. Efficiency: By determining the most economical packaging for each item, the AI ​​model improves delivery processes, minimizing the use of cardboard boxes, air cushions, tape and mailers.

3. Adaptability: AWS’s cloud-based multimodal AI algorithm continuously learns and adapts to Amazon’s changing packaging options, ensuring the most efficient package choice for every item.

4. Accuracy: Using deep machine learning, natural language processing and computer vision, the Package Decision Engine accurately assesses the packaging needs of each item, improving product protection and customer satisfaction.

Read: 10 AI news that broke the internet last week: Top headlines