Supply Chain

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

The role of supply chains has never been more vital to the world. Vision AI-powered automation for supply chain provides prediction and real-time detection of problems so that you can act with immediacy and accuracy 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

Built from the ground up for ease of use for entire teams, Plainsight’s platform easily integrates into existing camera infrastructures and business systems. With vision AI, entire supply chain operations teams can create meaningful solutions for accurate insights for products/goods handling across individual or multiple facilities. In one intuitive interface, visual data is collected and labeled, and models are easily trained and quickly operationalized. From product QA/QC, label and barcode reading, and packaging classification with predictive and real-time defect detection, Plainsight offers efficient, effective product tracking through logistics processes with flexible integration with existing systems such as ERPs and mobile applications.

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

Plainsight 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, trains or aircraft. In many cases, delays of even a few minutes can create significant damage to goods. With Plainsight models managed in our vision AI platform, 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

Plainsight 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, trains or aircraft. In many cases, delays of even a few minutes can create significant damage to goods. With Plainsight models managed in our vision AI platform, exact timing of load start-end-departure can be captured and alerts can be triggered across other systems.

USE CASE

PRODUCT COMPROMISE DETECTION

Challenge

Where human visual judgement can be limited, cameras combined with AI technology are consistent and reliable at detecting problems at any scale or complexity. Plainsight offers supply chain organizations custom computer vision model development with centralized platform management for real-time QA and detection of defects in products/goods. 

Solution

 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 custom enterprise services to build your models or have resources to create your own with Plainsight’s vision AI platform, please let us know how we can help.

Contact us today to schedule a demo to see Plainsight in action.