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Pickommerce raises $3.4M to upgrade warehouses with robotic piece-picking solution

Pickommerce raises $3.4M to upgrade warehouses with robotic piece-picking solution

The company’s PickoBot utilizes a computer vision system powered by machine learning that enables the safe and intelligent packaging of objects of different sizes, weights and textures. 

CTech | 15:00, 17.09.24

Pickommerce announced on Tuesday that it has secured $3.4 million in funding to advance the development, production and marketing of its PickoBot piece-picking robot. The funding round was led by IL Ventures, a fund focused on disruptive technologies for legacy industries, and includes InNegev, Fusion VC, the Israel Innovation Authority and strategic investor ZIM Ventures, the corporate venture arm of maritime shipping company ZIM.

Full list of Israeli high-tech funding rounds in 2024

Pickommerce was founded by Kfir Nissim (CEO), Prof. Amir Shapiro (CTO), and Prof. Elon Rimon (Advisor).

Pickommerce founders. Pickommerce founders. Pickommerce founders.

Today’s logistics warehouses are increasingly automated, with processes like crate collection and package unloading now predominantly handled by robots. However, the final “Pick and Pack” step largely relies on human pickers, even in the most advanced warehouses. This presents a significant challenge, as there is a global shortage of tens of millions of workers in these roles. To fill this void, piece-picking robots are quickly becoming a critical component of the modern automated warehouse. They increase efficiency by picking and placing inventory for a wide range of items, reducing labor needs for repetitive tasks while improving performance and decreasing errors.

PickoBot utilizes a computer vision system powered by machine learning that enables the safe and intelligent packaging of objects of different sizes, weights and textures. It features multiple gripping methods in a single station, including vacuum, finger-based, and patented adhesive-based grippers. An AI-driven decision-making algorithm selects the optimal gripper and grasp configuration for each item.

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"We are pushing the boundaries of the industry by offering unmatched, robot-agnostic flexibility with the PickoBot's diverse gripping abilities," remarked Kfir Nissim, Co-Founder and CEO of Pickommerce. "This is achieved through the seamless integration of advanced computer vision, a highly optimized packing algorithm, and AI-powered decision-making."

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