Logistics Operations With AI-Powered Shipment Visibility
A leading 3PL centralized shipment data with AI-powered visibility, improving on-time delivery by 30% and reducing shipment delays by 25%.
Business Process Challenges
- Operated across 15 distribution centers and managed more than 5 million shipments annually.
- Shipment data was distributed across transportation management systems, warehouse management systems, GPS tracking, ERP systems, and carrier portals.
- Limited real-time visibility into shipment status, fleet movement, delivery performance, and shipment exceptions.
- Traffic, weather, and operational disruptions contributed to delivery delays.
- Disconnected systems made coordination between warehouse, transportation, and ERP operations difficult.
- Manual reporting slowed operational decision-making and reduced reporting efficiency.
- Limited predictive analytics made it difficult to identify potential delivery delays and route risks in advance.
- Required a centralized logistics analytics solution to provide real-time shipment visibility, improve fleet utilization, automate alerts, and support proactive decision-making.
Our Strategic Approach
- Designed a centralized Logistics Control Tower and Shipment Visibility Platform using Microsoft data, analytics, automation, and AI capabilities.
- Integrated data from TMS, WMS, ERP, GPS tracking, carrier APIs, fleet systems, IoT devices, and Excel reports using Microsoft Fabric.
- Established centralized logistics data management through Microsoft Dataverse.
- Created structured data models for shipments, vehicles, drivers, warehouses, customers, routes, GPS locations, carriers, and logistics KPIs.
- Developed Power BI dashboards for shipment tracking, fleet performance, route analytics, carrier scorecards, and delivery KPIs.
- Built a Power Apps operations portal for managing shipments, routes, fleet activity, warehouse coordination, proof of delivery, and exceptions.
- Automated shipment delay alerts, delivery notifications, route deviation alerts, proof-of-delivery confirmations, escalations, and Microsoft Teams notifications using Power Automate.
- Leveraged AI Builder, Azure Machine Learning, and Copilot Studio to predict shipment delays, identify high-risk routes, forecast delivery performance, and provide conversational logistics insights.
- Implemented a phased delivery approach covering data integration, centralized data management, analytics, operations management, workflow automation, and AI-powered intelligence.
How we delivered it.
Explore the Solution Through visuals
What changed for the client.
The Logistics Control Tower delivered measurable improvements across shipment visibility, delivery performance, fleet utilization, operational efficiency, and logistics reporting.
- 30% improvement in on-time delivery performance
- 25% reduction in shipment delays
- 20% improvement in fleet utilization
- 35% faster shipment issue resolution
- 18% reduction in transportation costs
- 40% reduction in manual logistics reporting
The platform also improved visibility across the supply chain and enabled AI-driven delay prediction for proactive logistics planning. Executives gained improved visibility into logistics operations and performance, while operational teams could respond faster to shipment risks and exceptions.
The numbers behind the rollout.
The full integration layer.
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Offices
Bengaluru
11th Floor, Prestige Tech Park, Platina 2 · Outer Ring Rd, Kadubeesanahalli · Bengaluru, Karnataka 560087, India
Cuttack
PLOT 5C/1283, SECTOR-10, CDA · Cuttack, Odisha 753014 · India
San Francisco
San Francisco, CA 94108 · United States
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