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 quality management startups.
Global Startup Heat Map highlights 5 Top Quality Management Startups impacting Logistics out of 160
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 160 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 quality management 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 155 quality management solutions for logistics, get in touch.
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Visichain automates Sourcing Processes
Traditional supply chain management such as logistics and procurement is currently time-consuming. The existing manual quality management tools lead to delays in logistics processes and also produce errors. By using AI to automate quality checks, procurement managers are able to reduce errors. Thus, startups are developing solutions to digitize the quality management processes involved in logistics.
Chinese startup Visichain develops digital platforms for increasing transparency in supply chain and procurement activities. The startup’s platform automates sourcing and facilitates real-time data flow, eliminates silos in systems, and regularly syncs the data. The platform enables the procurement team to monitor supply chain risks and take critical action using automated procurement workflows. Moreover, the platform provides a holistic picture of suppliers by evaluating factories’ scores based on quality, social responsibility, and delivery history.
Wenda offers a Cloud-based Process Traceability Platform
Damage of goods in transit causes financial losses, among other challenges, for logistics companies and managers. Mainly, monitoring and managing temperature conditions of the transit vehicles are difficult and lead to spoilage, especially for food and agricultural products. To enable easier monitoring, startups are developing IoT-based solutions for quality control.
Italian startup Wenda provides a farm-to-fork platform for unified visibility and collaboration across the supply chain. The startup’s cloud-based platform enables temperature management and process traceability to ease quality management at various stages in the supply chain. The software is compatible with multiple tracking technologies and integrates real-time data for process quality improvement. The collaboration platform is useful for retail companies, as well as food processing and catering companies.
Logmore provides a Condition Monitoring Platform
Shipments of pharmaceutical or perishable products, like vaccines, drugs, and meat require proper temperature control. Due to strict regulations guiding the cold-chain transportation of drugs or food, any variance in the conditions of transportation leads to wastage. To solve this, startups are developing cloud-based solutions to monitor transit conditions and ensure the quality of logistics.
Finland-based startup Logmore provides a condition monitoring solution for quality management in logistics. The startup’s Logmore Guardian QR data loggers track predefined conditions with calibrated sensors. It offers extreme condition monitoring such as dry ice temperature data loggers to monitor cold chain shipments. The cloud-based platform also provides data visualization and generates industry standards-compliant reports. Further, the platform enables end-to-end encryption to increase security and prevent data manipulation.
Geekplus enables Smart Warehousing
Warehousing for manufacturing logistics currently faces challenges of inaccurate inventory, poor layout utilization, inaccurate inventory shelving, and more, leading to a compromise in the quality of the processes. Due to the inflexibility of the traditional logistics systems, manufacturers find it difficult to change production lines and production capacity. Therefore, startups are developing smart warehousing solutions that integrate with existing warehouses as well as new automation technologies.
Chinese startup Geekplus provides logistics efficiency solutions for manufacturing companies, including the Smart Warehouse solution. The Smart Warehouse combines multiple logistics processes including materials receipt, and quality inspection, as well as warehousing, moving, and picking. For example, the bin-to-person system facilitates quality inspection and multi-layer shelving to reduce manpower requirements in warehouses. The system also increases picking efficiency, enhances spatial utilization, and ensures the accuracy of inventory data.
Elementary builds an AI-based Quality Inspection System
Computer vision and AI-based systems easily detect defects in products that are difficult to trace by the human eye. With increasing complexity in manufacturing lines, it becomes difficult to keep track of the product at every stage. As a result, manufacturing companies have to deal with faulty batches of products and monetary losses. Therefore, startups are developing solutions to reduce wastages and automate quality management along production lines.
US-based startup Elementary provides an AI-based advanced vision system. The deep learning-based solution uses a Radian inspection camera for automating the inspection of moving production lines. The system is integrable with existing manufacturing systems and instantly customizes the quality inspection workflow. It runs multiple quality checks simultaneously and provides high-speed inspection data using AI. The solution also provides data visualization tools to track, assess, and increase returns on investments (ROIs).
Discover more Logistics startups
Logistics startups such as the examples highlighted in this report focus on digital quality management solutions using AI and IoT, as well as cloud-based technology and advanced analytics. While all of these technologies play a major role in advancing quality management in logistics, 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.
