Case study Data Analytics

Real-Time Supply Chain Analytics Dashboard

Created a comprehensive analytics platform providing real-time visibility into supply chain operations, reducing inventory costs by 25% and improving delivery times by 40%.

Explore the project

Client: Manufacturing Company
Timeline: 5 months
Project date: July 2024
Team: 6 Engineers

25%Inventory Reduction

-40%Delivery Time

92%Forecast Accuracy

$1.2M/yearCost Savings

Reported project results · Specific to the original project scope. See results and context below.

The brief

Project overview

This account is restored from Actinode’s original project portfolio. Results describe that project and are not a guarantee for another engagement. “Ready” or compliance-related terminology describes the stated project scope, not an independent certification.

Original challenge

The manufacturing company lacked real-time visibility into their supply chain, relying on manual reports that were often outdated by days. This led to inventory stockouts, overstock situations, delayed shipments, and inability to quickly respond to disruptions. Decision-makers needed immediate access to actionable insights across multiple facilities and suppliers.

Solution and contribution

We designed and built a real-time analytics dashboard that aggregates data from multiple sources including ERP systems, warehouse management systems, shipping providers, and IoT sensors. The platform features predictive analytics for demand forecasting, automated alerts for anomalies, and customizable KPI tracking.

Implementation

How we delivered it

Data Pipeline Architecture

Built a scalable data pipeline processing 1M+ events daily from 20+ different sources with real-time streaming and batch processing.

Analytics & ML Models

Developed predictive models for demand forecasting, inventory optimization, and delay prediction using historical data.

Dashboard Development

Created an intuitive dashboard with customizable views for different roles, from executives to warehouse managers.

Integration & Deployment

Seamlessly integrated with existing systems without disrupting operations, with phased rollout across facilities.

The outcome

Results & business impact

Reduced inventory holding costs by $800,000 annually
Improved on-time delivery rate from 75% to 96%
Decreased stockouts by 85% through predictive replenishment
Enabled proactive response to supply chain disruptions
Reduced manual reporting time by 90%

Interpret figures with the original scope and baseline above. Where the account does not specify a measurement window, sample or denominator, do not infer one; discuss the relevant evidence and comparable workload with us before using a result to estimate your project.

Conclusion

This analytics platform provided unprecedented visibility into supply chain operations, enabling data-driven decision making at all levels. The system has become a critical tool for operational excellence and competitive advantage.