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 machine learning startups impacting logistics companies.
Out of 289, the Global Startup Heat Map highlights 5 Top Machine Learning Startups 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 289 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 machine learning 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 284 machine learning solutions for logistics, get in touch.
RPA Labs builds Logistic Bots
Tracking and delivering packages constitute a bottleneck in the logistics industry. Besides, packages tend to get mishandled or delivered to the wrong locations. Hence, there is a need for transparency and traceability in last-mile delivery. This is why startups develop software bots that empower companies to better connect vendors and customers by providing real-time product data.
US-based startup RPA Labs develops software logistics bots. The startup provides a full-service, no-code robotic process automation (RPA) solution for logistics and supply chain companies. Through trained software bots, companies undercut the average implementation period of framework-based RPA tools. The bots also bridge the connection between vendor and customer systems through transparent deliveries and real-time status updates.
Pandion offers Delivery Optimization
Delays arise in the form of human error and non-optimization of routes, among others, during package delivery. Artificial intelligence (AI) and machine learning enable reliability in delivering packages by optimizing routes and deliveries. The use of these technologies facilitates timely deliveries and, hence, improves customer trust. Additionally, these technologies offer insights into customer behavior as well.
US-based startup Pandion offers machine learning-based delivery optimization. It utilizes machine learning for faster, more precise, and more reliable integration with the delivery network for last-mile delivery. This results in better on-time delivery and allows for improved asset utilization. In addition, it enhances shipper performance while building customer relations at lower costs.
OneTrack facilitates Process Streamlining
Logistics issues include challenges that stem from the factory floor. For example, failures in pick-and-place machines lead to delays in the overall delivery of packages. When coordinating different tasks in the warehouse, insights on redundancies reduce downtime. Thus, startups develop solutions that provide information on different aspects of the warehouse which facilitate operation planning.
Austrian startup OneTrack provides streamlining solutions for logistics. Lift-mounted OneTrack devices rely on algorithms and sensors to capture data to minimize failure and assist maintenance activities. Further, fleet learning enables all connected devices to benefit from the data. An AI engine leverages data from different management systems to identify critical process anomalies. This allows users to analyze and implement insights from the software.
ImpactSure offers Delivery Automation
In the packaging industry, there is a lack of transparency in tracking goods from packaging to delivery. This reduces customer trust and leaves space for mishandling and maltreatment of packages. Machine learning improves transparency by tracking shipments and providing optimization solutions to businesses. Thus, startups develop machine learning solutions to optimize business-to-consumer (B2C) relations and ensure the proper delivery of packages.
Indian startup Impactsure offers package delivery solutions. The startup provides a software application, SureLogistics, which uses native cloud and robotic process automation to automate the shipping process from packaging to delivery. It utilizes a PDF reader for reading preceding invoices and RPA for tracking shipment till delivery. This improves visibility for all stakeholders as well as enhances productivity due to automation.
Daskell enables Logistics Optimization
Machine learning enables users to detect and resolve anomalies before these develop into operational bottlenecks. For example, dynamic payload estimation allows logistics companies to estimate loaded weight in excavator’s arms in real-time. These solutions solve the unanticipated downtime issues of logistics companies. Thus, startups develop optimization and analysis solutions that assist users to optimize warehouse processes.
Italian startup Daskell develops logistics optimization solutions. The startup enables dynamic payload optimization, product object recognition, and self-scanning anomaly detection. These improve the efficiency of the workflow inside warehouses. In addition, the startup provides analysis services that include a patient status classifier.
Discover more Logistics Startups
Logistics startups such as the examples highlighted in this report focus on warehouse management, logistics management as well as robotic process automation. While all of these technologies play a major role in advancing the logistics industry, they only represent the tip of the iceberg. To explore more logistics technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Logistics Innovation Report to save your time and improve strategic decision-making.
