Supply Chain

Improve Efficiency, Speed & Decision Making In Planning, Warehouse Automation, & Logistics

The recent consumer experience of bare shelves has made clear the critical role that the supply chain plays in modern society. Autonomous AI solutions can proactively detect and can dynamically adjust to fix problems before it’s too late.

USE CASE

PRODUCT/GOODS COUNT & TRACKING

Challenge

Organizations must be proactive and prescriptive to ensure that what they have planned is actually happening on the ground. Real-time, continuous updating on inventory is imperative for effective supply chain operations. In today’s environment there is huge demand of consumers products and to fulfill demand, organizations need to understand inventory levels in their warehouse/distribution centers. Regardless of whether an organization ships millions of products or manages small orders from its warehouse, inaccuracy and redundancy is a threat.

Solution

Sense is designed for ease of use for even non-technical users and can work with existing camera infrastructures to combine with Sixgill’s AI technology, giving supply chain operations teams an unblinking view of products/goods handling across individual or multiple facilities. Within the Sense interface, organizations connect cameras and deploy ML models that can be flexibly trained to recognize specific types of products and goods as they move through the handling process. From damage classification and type detection, to label and barcode reading, and package type recognition, computer vision software offers fast, efficient tracking of products in warehouse logistics processes. Flexible integration for alerting and data logging with existing systems such as ERP and mobile vision applications make Sense a go-to for fast, easy introduction of AI into goods management.

USE CASE

SHIPMENT LOAD MONITORING

Challenge

The rise of e-commerce is stretching the speed and efficiency of distribution centers to the limit. A shortage of labor combined with a massive increase in shipment volumes, repetitive physical labor and loading dock conditions are all contributing significantly to the supply chain overload. Organizations are seeking easy and fast ways to implement automation across as much of their distribution processes as possible to increase workforce efficiency and reduce inaccuracies and delays.

Solution

Sixgill Sense offers distribution centers new ways to monitor and manage the shipment process. Computer vision provides autonomous capabilities to speed processes saving time and burden on a short labor supply. Amazon, for example, uses computer vision to unload trailers of inventory with increasing efficiency reporting unloading shipments in 30 minutes instead of hours. The monitoring of vehicle departure times must be closely coordinated with loading times of other trucks, train or aircraft. In many cases, delays of even a few minutes can create significant damage to goods. With Sixgill models managed in Sense exact timing of load start-end-departure can be captured and alerts can be triggered across other systems.

USE CASE

SHIPMENT LOAD MONITORING

Challenge

The rise of e-commerce is stretching the speed and efficiency of distribution centers to the limit. A shortage of labor combined with a massive increase in shipment volumes, repetitive physical labor and loading dock conditions are all contributing significantly to the supply chain overload. Organizations are seeking easy and fast ways to implement automation across as much of their distribution processes as possible to increase workforce efficiency and reduce inaccuracies and delays.

Solution

Sixgill Sense offers distribution centers new ways to monitor and manage the shipment process. Computer vision provides autonomous capabilities to speed processes saving time and burden on a short labor supply. Amazon, for example, uses computer vision to unload trailers of inventory with increasing efficiency reporting unloading shipments in 30 minutes instead of hours. The monitoring of vehicle departure times must be closely coordinated with loading times of other trucks, train or aircraft. In many cases, delays of even a few minutes can create significant damage to goods. With Sixgill models managed in Sense exact timing of load start-end-departure can be captured and alerts can be triggered across other systems.

USE CASE

PRODUCT COMPROMISE DETECTION

Challenge

Humans have been traditionally tasked with visual inspection for quality control because it requires judgment. However, when a human sees an image thousands of times at high speed, the image gets imprinted on the brain. So, it’s possible for a human to not register a problem, especially if in the hectic environments of logistics hubs along a supply chain route, warehouses and distribution facilities.

Solution

Where human visual judgement can be limited, cameras combined with AI technology are consistent and reliable at detecting problems at any scale or complexity. Sixgill offers supply chain organizations custom computer vision model development with Sense platform management for real-time QA and detection of defects in products/goods. With the right combination of the latest camera and ML technologies, logistics hubs and distribution centers can detect and track product compromise with near flawless results. The use of AI to power automated quality inspections reduces the chances of delivering faulty goods to customers.

Whether you need our Enterprise AI services to build custom models or have the team to build or upload models and manage them within Sense, please let us know how we can help solve your use case requirements and the needs of your business.

Contact us today to request a demo of Sense.