Logistics & Supply Chain

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%.

softreetechnology.com/case-studies
logistics
0%
Reduction in manual logistics reporting
0%
Improvement in on-time delivery
0%
Faster shipment issue resolution

Client Profile

A global enterprise in the IT services sector, operating across North America and managing a complex IT environment. The client partnered with Softree Technology to leverage Logistics Control Tower & Shipment Visibility Platform for improved IT service management and operational efficiency.

Use Cases
Operations, Shipment Visibility, Predictive Analytics, Workflow Automation
Industry
Logistics & Supply Chain
Project Type
AI-Powered Logistics Control Tower & Shipment Visibility
Scale of Operation
15 distribution centers, 1,200+ delivery vehicles, and 5M+ shipments annually
End Users
Logistics managers, dispatch teams, warehouse supervisors, and executives
Service Provided
AI DevelopmentData EngineeringPower PlatformPower BIWorkflow Automation
The Client Challenge

Business Process Challenges

  1. Operated across 15 distribution centers and managed more than 5 million shipments annually.
  2. Shipment data was distributed across transportation management systems, warehouse management systems, GPS tracking, ERP systems, and carrier portals.
  3. Limited real-time visibility into shipment status, fleet movement, delivery performance, and shipment exceptions.
  4. Traffic, weather, and operational disruptions contributed to delivery delays.
  5. Disconnected systems made coordination between warehouse, transportation, and ERP operations difficult.
  6. Manual reporting slowed operational decision-making and reduced reporting efficiency.
  7. Limited predictive analytics made it difficult to identify potential delivery delays and route risks in advance.
  8. Required a centralized logistics analytics solution to provide real-time shipment visibility, improve fleet utilization, automate alerts, and support proactive decision-making.
Our Approach

Our Strategic Approach

  1. Designed a centralized Logistics Control Tower and Shipment Visibility Platform using Microsoft data, analytics, automation, and AI capabilities.
  2. Integrated data from TMS, WMS, ERP, GPS tracking, carrier APIs, fleet systems, IoT devices, and Excel reports using Microsoft Fabric.
  3. Established centralized logistics data management through Microsoft Dataverse.
  4. Created structured data models for shipments, vehicles, drivers, warehouses, customers, routes, GPS locations, carriers, and logistics KPIs.
  5. Developed Power BI dashboards for shipment tracking, fleet performance, route analytics, carrier scorecards, and delivery KPIs.
  6. Built a Power Apps operations portal for managing shipments, routes, fleet activity, warehouse coordination, proof of delivery, and exceptions.
  7. Automated shipment delay alerts, delivery notifications, route deviation alerts, proof-of-delivery confirmations, escalations, and Microsoft Teams notifications using Power Automate.
  8. 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.
  9. Implemented a phased delivery approach covering data integration, centralized data management, analytics, operations management, workflow automation, and AI-powered intelligence.
Project Delivery Lifecycle

Our Engineering & Delivery Process

Our structured project delivery approach takes you from discovery and planning to development, testing, and deployment, ensuring quality, transparency, and predictable outcomes at every stage.

I
PHASE 01

Discovery & Architecture

Deep-dive technical audit of existing systems, security baselines, API mapping, and comprehensive cloud target blueprinting.

Architecture BlueprintIntegration MatrixSecurity Baseline
II
PHASE 02

UX & System Prototyping

Role-based user journeys, wireframing, high-fidelity clickable Figma prototypes, and API contract specifications prior to build.

Interactive PrototypesDesign System TokensAPI Contracts
III
PHASE 03

Agile Sprint Engineering

Modular development sprints delivering clean, shippable code with automated CI/CD pipelines and continuous testing.

Production ModulesAutomated CI/CDPeer-Reviewed Code
IV
PHASE 04

QA & Security Hardening

End-to-end regression suites, cross-device verification, load stress audits, and penetration testing for enterprise resilience.

Automated Test MatrixPenetration AuditZero-Defect Sign-off
V
PHASE 05

Production Launch & Scale

Zero-downtime blue-green production deployment, real-time telemetry, administrator training runbooks, and ongoing SLA support.

Live Production ReleaseCloud TelemetrySLA Support Runbook
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The Logistics Control Tower delivered measurable improvements across shipment visibility, delivery performance, fleet utilization, operational efficiency, and logistics reporting.

  1. 30% improvement in on-time delivery performance
  2. 25% reduction in shipment delays
  3. 20% improvement in fleet utilization
  4. 35% faster shipment issue resolution
  5. 18% reduction in transportation costs
  6. 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.

Results & Business Impact

The numbers behind the rollout.

01
Reduction in manual logistics reporting
40%
02
Improvement in on-time delivery
30%
03
Faster shipment issue resolution
35%
Reference Tech Stack

The full integration layer.

Microsoft Fabric
Power BI
Power Apps
Power Automate
Microsoft Dataverse
Copilot Studio
AI Builder
Azure Machine Learning
Microsoft Teams
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

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What we offer

Enterprise Integration
Cloud Architecture
AI & Automation
Microsoft Solutions
Offshore Engineering

Offices

  • Bengaluru

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  • Cuttack

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    San Francisco, CA 94108 · United States

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