External forces and constantly-shifting transportation dynamics create unhealthy and underperforming fleets plus warehouse inefficiencies.
Gerard Darby, CIO of NFI Industries, 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.
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 – unsuited to the dynamic nature of the business.
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.
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 AI 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.
NFI has seen increased fleet uptime, reduced cost per mile, and reduced labor costs while maintaining efficient service levels.