4 Top Machine Learning Startups Out Of 157 In Warehousing

4 Top Machine Learning Startups Out Of 157 In Warehousing

We analyzed 157 machine learning startups. Datex, Scandit, GetVu, and Fellow Robots are our 4 picks to watch out for. To learn more about the global distribution of these 4 and 153 more startups, check out our Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups in the logistics industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. So, let’s take a look at promising machine learning solutions disrupting warehousing.

Heat Map: 4 Top Machine Learning Startups Impacting Warehousing

For our 4 picks of machine learning 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 157 relevant solutions. Depending on your specific needs, your top picks might look entirely different.

 

ML_in_Warehousing_Heatmap_StartUsInsights-noresize

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Who are the other 153 Machine Learning Startups?

 

Datex – Warehouse Management Software

Blending machine learning and logistics can significantly improve demand forecasting, understocking and overstocking flows in warehouses. By integrating machine learning software, warehouse managers are able to use historical data to forecast most of the numbers within their operations. The US-based company Datex works on a warehouse management platform that provides businesses with visibility of all inventory and orders in all facilities, performance metrics to measure order fulfillment across the entire enterprise, and the status of inventory and orders in 3rd party sites.

Scandit – Scanning With Augmented Reality

The recognition of items within a warehouse is much quicker and more accurate if workers use specialized devices for scanning barcodes, text or objects. It is the way the person can quickly receive the necessary information about a product and resume work. Scandit, a startup from Switzerland, offers a convenient system that works on smartphones or tablets and scans an item for additional information. It is possible to synchronize the app with the warehouse database as well.

GetVu – Performance Evaluation

The next step after surveillance cameras is devices that capture and analyze human behavior in a warehouse. This type of surveillance can be both a method of preventing accidents and a tool evaluating the work of staff. Indian GetVu develops a data-driven system that evaluates individual performance as well as the performance of the whole unit and displays the data in the form of a graph or report. It also acts as a mapping tool for improving warehouse management.

Fellow Robots – Pick-By-Voice

Remaining handsfree in a warehouse is sometimes very critical for the process optimization. Thus, using voice commands instead of typing inquiries either to fill the report or find the required item, people can save up lots of time. US-based Fellow Robots are used as real guides for finding any tool simply by saying what you need. The system works with both natural language processing (NLP) and machine learning to recognize the required item quickly and correctly.

What About The Other 153 Machine Learning 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 machine learning startups showcased above are promising examples out of 157 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.

 

Ready to discover your top Machine Learning solutions?
Ready to discover your top Machine Learning solutions?




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