Organizing Brownfield Data Across Multiple Plants.
Inbound Warehousing
Supply Chain – Optimizing Inbound Warehousing through Semantic Data Integration.
A multinational consumer packaged goods company faced challenges in managing its inbound warehousing processes due to limited data integration and manual prioritization. By implementing Kobai's semantic layer integrated with their analytics platform, the company aimed to streamline operations and enhance decision-making.
PROJECT
Development of an end-to-end supply chain planning solution using semantic data integration.
WHAT WE DID
Data Integration, Semantic Modeling, Dashboard Development.
CLIENT
Confidential Consumer Packaged Goods Company.
TIMELINE
Start: March 2025, 6 Weeks Design, 10 Weeks Implementation.
PROJECT INFORMATION
The company struggled with prioritization complexity and limited visibility into warehouse operations.
Kobai's approach involved integrating diverse data sources into a flexible semantic model, enabling real-time visibility and improved decision-making. Customized ontologies captured domain-specific relationships, aiding in smart collaboration and scenario planning.
CHALLENGES
- Lack of dynamic prioritization for incoming shipments.
- Limited integration of data sources.
- Capacity constraints leading to bottlenecks.
- Reliance on manual workarounds causing inefficiencies.
RESULTS
- Real-time visibility into supply chain operations.
- Streamlined planning and smart alerts.
- Enhanced agility to respond to market changes.
- Reduced inventory costs and stockouts
- Improved efficiency in logistics and transportation management