In factories, AI-powered robotics and algorithms are speeding up manufacturing for shampoo, dog food, and more

Published: Monday, September 15, 2025 at 6:08 pm

AI Revolutionizing Manufacturing Across Industries

The manufacturing sector is undergoing a significant transformation, with artificial intelligence (AI) playing a pivotal role in boosting efficiency and production capacity. Companies across diverse industries, from contact lenses to pet food and home batteries, are increasingly integrating AI-powered solutions into their operations.

Bausch + Lomb, facing surging demand for its daily contact lenses, has embraced AI to optimize its manufacturing processes. The company implemented Atlas, an AI software designed to predict and address machinery issues, leading to increased production output.

This trend is echoed across various sectors. A recent survey indicates that a majority of manufacturers plan to increase their AI investments in the coming year. Startups like Prose, Spot & Tango, and FranklinWH are leading the charge, leveraging AI to streamline their operations.

Spot & Tango, a pet food maker, has adopted AI to manage its supply chain, automating a significant portion of its purchase orders and production scheduling. This has allowed the company to scale its production without expanding its workforce. Similarly, Prose, a beauty brand, has utilized AI and automation to reduce manufacturing costs, enabling it to offer custom products at a competitive price. FranklinWH, a home battery producer, is employing AI for visual inspection and customer service, enhancing quality control and operational efficiency.

While the adoption of AI offers significant benefits, some companies are approaching the integration cautiously. Spot & Tango's COO emphasizes the importance of careful evaluation and pilot testing before fully implementing AI solutions.

BNN's Perspective:

The integration of AI into manufacturing presents a compelling case for increased productivity and efficiency. While the initial investment and implementation can be complex, the potential for cost savings, improved quality, and increased output is undeniable. However, a measured approach, including thorough testing and careful consideration of employee training, is crucial to ensure successful and sustainable AI integration.

Keywords: AI, manufacturing, automation, production, supply chain, efficiency, technology, Bausch + Lomb, Spot & Tango, Prose, FranklinWH, robotics, algorithms, innovation, business, industry

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