4 Top Augmented Reality Stock & Inventory Management Startups In Industry 4.0

We analyzed 97 Augmented Reality Stock & Inventory Management solutions. Clear Spider, Cerekon, Covariant.ai, and GBK Soft develop 4 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in industry 4.0. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 4 promising Augmented Reality (AR) stock & inventory management solutions.

Heat Map: 4 Top Augmented Reality Stock & Inventory Management Startups

For our 4 picks of startups, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 4 interesting examples out of 97 relevant solutions. Depending on your specific needs, your top picks might look entirely different.

Augmented Reality Stock & Inventory Startups Global Heat Map StartUs Insights

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Which startups develop the other 93 solutions?

 

Clear Spider – Augmented Navigation & Instructions

Augmented reality significantly improves the handling of various issues within warehouse floors, projecting them onto workers’ headsets and providing hands-free navigation towards the aisles that need attention.

Canadian company Clear Spider develops a cloud-based inventory management system that provides a transparent overview of inventory and employs various AR tools to empower the warehouse workers of their clients.

Cerekon – Vision Picking

Inventory management stands to greatly benefit from the use of augmented reality. Using AR headsets, workers receive visual order picking instructions, the precise location of objects in the aisles, as well as other relevant information.

Singaporean startup Cerekon creates end-to-end Internet of Things (IoT) and Immersive Reality (AR & VR) solutions for a range of industries. Their VizPick Smart Glass solution for warehousing and logistics helps to save time in locating products, picking validation, determine the availability of quantity, and updating inventory for pick-an-pack services. Their picking solutions offer real-time object recognition, barcode reading, indoor navigation, and integration with Warehouse Management (WMS) Systems and Enterprise Resource Planning (ERP) Systems.

Covariant.ai – Collaborative Robotics

The advancement of robotics coupled with artificial intelligence (AI) and machine learning (ML) algorithms presented a host of growth opportunities in the logistics and supply chain sectors. Augmented reality takes it even further, though, by allowing humans to map out the robots expected behavior using their regular movements. In other words, you show the machines how various tasks should be done, which is a very natural and easy way of cooperating with robots.

The US-based startup Covariant.ai develops AR-centered solutions to make the process of programming robots much more quick and effective through teleoperation with a headset and pointers. In essence, this is a more precise and natural way of “teaching robots” how to operate in different scenarios, from assembly to inventory managing and processing.

GBK Soft – Freight Loading Optimization

Freight loading is an essential part of operations of any logistics or shipping business out there. To optimize the process, AR brings clever algorithms and adaptive projections to the table.

Ukrainian company GBK Soft develops augmented reality applications that enhance and simplify the freight loading process. Warehouse workers receive interactive loading instructions that are re-calculated and updated constantly before being projected on their headsets.

What About The Other 93 AR Stock & Inventory Management Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 4 startups showcased above are promising examples out of 97 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.

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