Type
Supply Chain Visibility Platform
Objective
A prominent Denmark-based logistics company sought to enhance visibility and efficiency across their supply chain by developing a comprehensive platform. The primary goal was to create real-time visibility of goods and inventory movement, optimize logistics, and improve decision-making for stakeholders throughout the chain. By entralizing data, the client aimed to minimize delays, reduce costs, and increase operational transparency.
Technologies
.NET, C#, SQL, Azure, Kubernetes
Country
Denmark
Project Attributes
Engagement Model
Time & Material
Duration
Ongoing since 3 Years
App Users
Supply chain managers, logistics operators, suppliers, and customers
Challenges
- Limited Visibility: Tracking goods and inventory at each stage of the supply
chain was challenging, leading to delays in delivery, increased operational costs,
and low customer satisfaction. - Data Silos: Various data sources and formats across the supply chain created
silos, making it difficult for decision-makers to access unified data. This led to
inefficient communication among stakeholders. - Inconsistent Updates: Due to the lack of real-time data updates, stakeholders
experienced inconsistent information on inventory levels, shipment status, and
potential delays. - Scalability Issues: The client struggled with scaling their platform to
accommodate rising data volumes and fluctuating demand, impacting overall
platform performance and user experience.
Solutions
- Centralized Data Platform: Adorebits developed a scalable platform on Azure to
centralize and integrate data from multiple sources, utilizing SQL for efficient
database management. This centralized approach eliminated data silos and
provided a unified view of the entire supply chain. - Real-Time Visibility: Leveraging .NET and C#, Adorebits built functionalities for
real-time tracking of shipments, warehouse inventory, and in-transit goods. This
feature empowered logistics managers with actionable insights, helping them to
preemptively address bottlenecks and delays. - Kubernetes for Scalability: The platform was deployed on Kubernetes to
ensure robust scalability and manage high data volumes efficiently. This enabled
the client to handle peak loads and unexpected surges in demand, enhancing
platform performance and user satisfaction. - Automated Alerts & Notifications: To enhance user engagement, Adorebits
integrated automated alerts for shipment status, inventory shortages, and other
critical updates. Stakeholders received timely notifications, allowing them to take
immediate action as required. - Predictive Analytics: Adorebits designed a predictive analytics model to
forecast inventory needs and potential delays based on historical data. This
feature supported proactive planning and streamlined decision-making.
Results:
- Enhanced Visibility: With real-time tracking and centralized data access, supply chain visibility improved by 60%, empowering stakeholders with complete transparency.
- Operational Efficiency: Automated notifications and predictive analytics reduced manual monitoring and increased efficiency by 35%, allowing logistics teams to focus on higher-value tasks.
- Reduced Delays: Real-time tracking and predictive insights helped decrease delays by 40%, enabling timely deliveries and increasing customer satisfaction. Cost Optimization: Through better visibility and predictive capabilities, the platform helped cut operational costs by 25%, making the logistics process more streamlined and cost-effective.
Conclusion:
Adorebits’ supply chain visibility platform not only met the client’s objectives but also established them as a forward-thinking leader in logistics technology,
ensuring real-time tracking, optimized costs, and seamless operations throughout their supply chain.