Case Studies How Clearwater Paper Uses FourKites to Foster Collaboration and Efficiency Throughout Its Network
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How Clearwater Paper Uses FourKites to Foster Collaboration and Efficiency Throughout Its Network

Analytics & Modeling - Predictive Analytics
Functional Applications - Fleet Management Systems (FMS)
Networks & Connectivity - Network Management & Analysis Software
Paper & Pulp
Retail
Logistics & Transportation
Warehouse & Inventory Management
Fleet Management
Predictive Maintenance
Supply Chain Visibility
System Integration
Training
Clearwater Paper sought a supply chain visibility solution in 2016 to improve efficiencies, communication, and collaboration throughout its network. The company aimed to shift from a 'tender-a-load-and-forget-it' culture to one that provides higher customer service and proactive operations management. Prior to deploying FourKites, Clearwater Paper was bogged down by home-grown technology that lacked tracking tools and communication capabilities, leading to strained relationships with carriers.
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Clearwater Paper, based in Spokane, Washington, is a premier private brand tissue manufacturer and producer of high-quality paper products. Founded in 1900 as the Clearwater Timber Company in Lewiston, Idaho, the company has evolved over its 120+ year history to become an industry leader. It operates 12 facilities across the U.S. and employs 3,000 people, generating $1.8 billion in annual revenue. Clearwater Paper supplies private brand tissue to major retailers, including grocery, club, mass merchants, and discount stores, and produces bleached paperboard for quality-conscious printers and packaging converters.
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Clearwater Paper started its journey with FourKites in 2016, managing approximately 5,000 monthly loads on FourKites’ end-to-end supply chain visibility platform, including truckload, LTL, and parcel. The platform provides real-time visibility and predictive ETAs, allowing yard, dock, and warehouse personnel to reassign staff and minimize delays. FourKites’ technology has also improved relationships with carriers by reducing manual check calls and dwell times. The platform’s advanced machine learning ETA predictions enable proactive management of sales, customer, and carrier expectations, enhancing communication and collaboration across internal and external stakeholders.
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Improved relationships with carriers due to accurate ETAs and reduced manual check calls.
Eliminated manual communication, boosting collaboration and allowing for proactive issue resolution.
Enhanced customer service through live-tracking dashboards and proactive monitoring tools.
Manages approximately 5,000 monthly loads.
Reduced detention charges.
Increased customer satisfaction.
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