Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Transportation
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Last Mile Delivery
- Transportation Simulation
Services
- Hardware Design & Engineering Services
About The Customer
Cisco is a global IT leader that businesses rely on for hardware, software, and services to run critical infrastructure. The company's reputation for reliable, high-performing equipment and world-class customer service forms a core part of its value. DHL Service Logistics manages a comprehensive service and support logistics operation on behalf of Cisco across 19 countries in Asia-Pacific. The operation includes hardware and spare parts from 80 rapid DHL fulfillment sites operating 365 days a year, shipping replacement equipment in as little as two hours and coordinating closely with Cisco’s own sales, customer support, and technical teams.
The Challenge
Cisco, a global IT leader, relies on DHL Service Logistics for managing a comprehensive service and support logistics operation across 19 countries in Asia-Pacific. The operation includes hardware and spare parts from 80 rapid DHL fulfillment sites operating 365 days a year. However, the network faced challenges in coping with unexpected events, ranging from minor transport delays to major natural disasters. The objective was to improve service operations performance and enhance the support provided to Cisco customers. The need was to enhance the network's resilience and agility to handle unexpected events effectively.
The Solution
DHL turned to Everstream Analytics, a leading supply chain predictive analytics company, to increase the resilience and agility of Cisco's supply chain. Everstream provided location-level risk analysis based on historical incident data and real-time monitoring of potentially disruptive events through a single, integrated portal. The platform was activated in the Cisco Logistics Support Center in Singapore, providing a comprehensive model of all operating locations and major freight lanes in the network. Each location was geo-coded at the street address level, providing a detailed overview of the nature and severity of supply chain risks. This helped in tailoring risk management, mitigation, and contingency planning. The platform also supported the risk assessment process when considering new warehouse sites or transport routes, allowing the companies to pick secure locations for facilities and target their investment in risk mitigation activities.
Operational Impact
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