How L2L is Building Shop Floor Intelligence with AWS

L2L, a Utah based software company, announced the launch of L2L Execution AI which it says addresses a critical productivity gap in modern manufacturing. 

Productivity in manufacturing has declined since the late 2000s. Now, new technologies such as AI look to increase productivity by turning complex data into actionable summaries. 

The technology is built on Amazon Web Services (AWS). Ben Schreiner, Head of AI and Modern Data Strategy for AWS, says “Manufacturers are looking for proven ways to turn their data into a competitive advantage.” 

L2L’s Execution AI

L2L’s say its specialised Solvers are pre-defined, focused prompts that allow plant teams to bypass the traditional delays caused by manual data correlation and reporting. The technology provides instant visibility into machine analysis, preventive maintenance and operational availability. 

Ben says: “L2L Execution AI is a powerful example of how innovation can bridge the productivity gap on the shop floor.

"We are excited to work with L2L to bring these advanced AI capabilities to customers, helping them stabilise and optimise their operations at scale.”

L2L says its new AI-driven Solvers eliminate guesswork by identifying hidden bottlenecks and root causes and prescribing the exact actions needed to restore production. 

The company says the shift from observation to execution ensures that chronic failure patterns are not just seen, but solved.

John Davagian, CEO at L2L, says: “The launch of L2L Execution AI is about moving beyond simply recording what happened and providing the frontline with real-time, actionable steps to improve plant productivity.

“By collaborating with AWS, we are ensuring our customers have access to a solution that is as reliable and scalable as it is innovative. This ensures that frontline effort is always directed toward the most urgent operational priorities.”

US manufacturing

According to the Information Technology and Innovation Foundation, American manufacturing employment fell by 33% in the 2000s, in part owing to the integration of China into global trade.

Data from the Bureau of Labor Statistics and the New York Federal Reserve shows that US labour productivity has slowed down, beginning in the late 2000s

The New York Federal Reserve says that labour productivity grew at an average of 3.4% per year from 1987 to 2007, whereas measured growth in labour productivity was down 0.5% from 2010 to 2022, a slowdown of 3.9% per year.

This slowdown in employment and productivity has been stark, in part driven by the rise of China as a superpower and intensified by US companies who sought to offshore to make operations cheaper.

New technology and a changing landscape

US President Donald Trump has set his sights on restoring US manufacturing, with various Executive Orders targeting a wide range of areas including shipbuilding, technology, pharmaceuticals and metals. 

In this context, new technology such as AI integrations within connected manufacturing operations seek to rapidly improve productivity for US manufacturers.

Market data cited by L2L shows that most plants remain stuck at 60% overall equipment effectiveness. The company estimates that the average worker spends 50% of their week simply chasing down information across siloed systems.

L2L says its Execution AI tool eliminates this analytical bottleneck by turning complex data into actionable summaries and data-driven suggestions for actionable improvement.

The company says that early adopters of the now available AI tool have already reported tangible ROI and productivity gains within weeks of implementation.