Customer Company Size
Large Corporate
Region
- Asia
Country
- China
Product
- QlikView
Tech Stack
- Business Intelligence
Implementation Scale
- Departmental Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Automotive
Applicable Functions
- Procurement
- Warehouse & Inventory Management
Use Cases
- Inventory Management
- Supply Chain Visibility
Services
- Software Design & Engineering Services
About The Customer
Anji-TNT Automotive Logistics Co. Ltd. is the first automotive logistics joint venture established in China between the Shanghai Automotive Industry Sales Corporation (SAISC) and CEVA Logistics (TNT Logistics), a subsidiary of Apollo. Anji-TNT offers logistical services for both automotives and their parts. It also provides logistics training, technical support, logistics planning, and logistical management. The company has a workforce of 4,300 employees and operates in the logistics industry.
The Challenge
Anji-TNT Automotive Logistics Co. Ltd., a joint venture between the Shanghai Automotive Industry Sales Corporation (SAISC) and CEVA Logistics (TNT Logistics), was in need of a Business Intelligence (BI) solution to manage the inventory of raw materials, parts, equipment, and finished products efficiently and effectively. The company had previously adopted a competitor's solution, which proved to be complicated to deploy and difficult for end users to navigate. After comparing different vendors' solutions in terms of cost and performance, Anji-TNT selected QlikView.
The Solution
Anji-TNT implemented QlikView in the first stage in its procurement department in China for supply chain analysis. The solution was used to plan the demand for different raw materials and parts, analyze procurement and supplier performance, manage inventory and warehouse, as well as analyze logistics and fulfillment. QlikView was adopted due to its simple and rapid implementation process, which took only two months, three times faster than other competitive solutions.
Operational Impact
Quantitative Benefit
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