"A Logistics Provider Looks to AI to Keep Its Trucks on the Road" – NFI Industries is in the Wall Street Journal.
NFI Industries teams up with Noodle.ai to bring world-class artificial intelligence to the Transportation and Distribution industries.
External forces and constantly-shifting transportation dynamics create unhealthy and underperforming fleets plus warehouse inefficiencies.
As a technology leader and visionary, Gerard Darby is no stranger to transformation. He pioneered the use of large-scale data-warehousing and business intelligence for many retail companies, including 1,700 store off-price retailer, Ross Stores.
As CIO of NFI, Gerard knows that driving incremental efficiencies across a complex enterprise like NFI means looking beyond static, rules-based TMS & WMS systems to solve challenges. These rules-based systems and existing mental models are no longer enough. They are unsuited to the dynamic nature of the business – Gerard needed a system of intelligence to solve complex supply chain problems. Enter Noodle.ai.
Noodle + NFI Strategy
Gerard Darby knew that he wanted to focus on the fundamentals that would make a meaningful difference in his operations. To realize this vision, NFI needed a 360-degree view of their fleet, curating signals from transportation, maintenance, sensors, and external signals such as weather and traffic patterns.
Noodle and NFI first invested time identifying NFI's fundamental Level 0 operations. These functions had to fulfill three criteria:
- Large capex exposure
- Inefficiencies due to static rules-based systems
- Ability to operationalize AI-driven predictions.
For transportation, this meant running the fleets more efficiently by reducing downtime & cost per mile. For distribution, this meant running the warehouse more efficiently and optimizing labor cost.
Noodle.ai's Fleet Health Intelligence app creates a digital twin of NFI’s fleet, mapping every incident, trip, breakdown, or other unplanned incident, then feeding that data into our machine learning models. This enables us to predict asset and component-level failure. On top of that, NFI gains insights into asset acquisition/disposition and preventive maintenance effectiveness.
Noodle.ai’s Warehouse Labor Intelligence app mines data from WMS, time card systems, and relevant external signals to build an accurate demand profile, which is then translated into a labor profile for the shift/day/week level, broken down by tasks.
NFI is using Noodle.ai’s applications to define the future of transportation maintenance strategy. With artificial intelligence apps that are sensing signals from transportation, maintenance, and sensor systems, NFI is able to predict asset and component failure and optimize for a radically efficient fleet operation.
We’re excited to partner with Noodle AI. Their cutting-edge applications will serve as the backbone for NFI’s enterprise AI initiatives to bring even greater efficiency to our customers’ supply chains.
Gerard Darby, CIO of NFI
NFI has seen increased fleet uptime, reduced cost per mile, and reduced labor costs while maintaining efficient service levels.
- 5.7% reduction in direct labor handling costs
- 7% savings in maintenance and purchased transportation costs over 3 years by transitioning asset maintenance from static and scheduled to predictive and dynamic