Mowito uses robotics and AI to speed up warehouses

This article is a part of Startup Spotlight, a series that features young, up-and-coming startups.

Image credit: Mowito

Traditional supply chains struggle with labor shortages and soaring costs. Using a combination of robotics and vision AI, Indian startup Mowito is tackling these issues and helping operators save time and money.

Keep reading to explore their unique approach to automation.

Problem

Warehouses, supply chains, and factories faces hurdles ranging from labor shortages to cost inefficiencies. These problems hinder profitability and can lead to extended downtime during peak demand.

The need for adaptable, cost-effective solutions is growing more urgent, especially given the rigid nature of legacy systems.

Solution

Mowito provides AI-driven vision software that guides robotic arms for item picking in warehouses and factory “machine tending”, which refers to the use of robots to load and unload production machines.

In essence, it aims to give robotic arms a brain to learn and work like humans.

This adaptable solution works with moving conveyor belts, uses off-the-shelf hardware, and does not need custom or task-specific AI model training. Their software reduces costs without requiring complex equipment.

Mowito claims it can improve throughput by up to six times while reducing staffing cost by 50 percent.

Market Size

The market opportunity is substantial, driven by the fact that only 1% of warehouses in the US are fully automated. Item picking in supply chains is a huge market, with the manufacturing sector having an industry size of US$902 billion.