Learning-enabled Third Party Logistics
External forces and constantly-shifting transportation dynamics create unhealthy and underperforming fleets plus warehouse inefficiencies.
Gerard Darby, CIO of FCI 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 FCI 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.
FCI + Hudeccan ai Strategy
Hudeccan and FCI first invested time identifying FCI’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.
Hudeccan ai's Impact on FCI Industries
FCI has seen increased fleet uptime, reduced cost per mile, and reduced labor costs while maintaining efficient service levels.