From Siloed Data to Actionable Insights: Mastering the Digital Supply Chain
Company Size
1,000+
Region
- America
Country
- United States
Product
- ZEUS technology platform
- Qlik Sense
Tech Stack
- Qlik
- Oracle
- AI-automated item categorization
- Intelligent part recognition and identification
- Buying automation through the use of bot technology
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Inventory Management
- Predictive Maintenance
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
SDI is a digital supply chain company that focuses on aligning inventories to overall reliability and enterprise risk management strategies. The company ensures the on-time delivery of essential personal protective equipment (PPE) and mission-critical maintenance, repair, and operations (MRO) products. SDI's goal is to improve the way its clients manage these critical supplies, reduce their risk, and save them money by streamlining and digitizing their supply chains. The company offers end-to-end supply chain services, including sourcing, the procure-to-pay process, master data management, on-site storeroom operations and inventory management, as well as continuous improvement/reliability projects.
The Challenge
SDI, a digital supply chain company, was facing challenges in managing and utilizing its data effectively. The company had siloed areas of expertise, with knowledge spread out across the organization. This resulted in a reliance on tribal knowledge and information sharing, which was not efficient or effective. The company was unable to leverage data effectively between accounts, which could have led to shorter lead times and quicker turnaround for customers. Furthermore, the company was using outdated tools like Excel for data management and had not been exposed to enterprise-level BI solutions.
The Solution
SDI implemented the ZEUS technology platform, which includes modules for Data Analytics, eProcurement, Storeroom Technology, and Inventory Management. The platform was initially built to better manage SDI's data and processes internally. The technology stack includes Qlik Sense as the data visualization layer. Qlik Sense was chosen for its data ingestion, ETL tools, integration with Oracle, and the online Qlik Community. The first app developed on the platform aimed to democratize SDI's spend data so that buyers could make more informed decisions. The company also started using robotic process automation in conjunction with ZEUS to gather data from various sources and automate certain processes.
Operational Impact
Quantitative Benefit
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