Discover 5 Top Computer Vision Solutions impacting Logistics Companies
Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the logistics industry. This time, you get to discover 5 hand-picked computer vision solutions impacting logistics companies.
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 835 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 830 computer vision solutions for logistics, get in touch.
Logistics involves a trail of paperwork from suppliers, intermediaries, and customers. Manually managing and analyzing this information is time-intensive and inefficient. Despite the digitization of most receipts and forms, manual investigation leaves space for mistakes, affecting productivity. Because of this, startups offer artificial intelligence (AI) solutions such as machine learning and computer vision to automate paperwork handling.
British startup Vector develops computer vision for invoices and receipts. The solution is an AI scanner that reads and analyzes all the paperwork within a facility. The computer vision application reads barcodes and plain texts. The scanner then parses PDFs, emails, images, and invoices. As a result, it streamlines workflows for logistics teams through real-time content. A customer operations dashboard also prioritizes activities for business development teams. The startup, in effect, centralizes all documents generated within a company or facility.
Optimizing space in freighters and ships is crucial since each container increases revenue potential per trip. Machine learning (ML) assists in optimization and space allocation. However, static data does not enable real-time status updates or information. It is therefore not ideal for space management and container placement. To this end, startups develop computer vision solutions that dynamically optimize the space allocation of containers for ships.
Finnish startup Awake.AI develops computer vision solutions for maritime logistics. The solution leverages light detection and ranging (LIDAR) and computer vision-based object detection and tracking along with machine learning models. Resource allocation planning and real-time analytics optimize criteria such as area usage per cargo unit. Besides, it does not require investing in new hardware as well as enables the detection, classification, and tracking of various types of cargo in port and industrial environments.
Warehouses and fulfillment centers are hubs of package collection and delivery. These facilities typically handle and store thousands of packages daily. Therefore, it is crucial for these centers to ensure that nothing is damaged or fraudulent.
