End-to-End Agentic AI data pipeline automation for a Global Logistics Leader
Client Overview
The client is a leading US multinational recognized for revolutionizing overnight air delivery and setting new standards in speed and reliability. Over the years, it has evolved into a trusted provider of end-to-end transportation, e-commerce, and business solutions, serving millions of customers across the globe. Their operations span an extensive logistics network that integrates advanced air and ground shipping capabilities, ensuring seamless movement of goods across continents. Beyond fast delivery, the company supports businesses with supply chain management, cross-border trade facilitation, and tailored shipping solutions, making it a cornerstone of global commerce.
Taming Heterogeneous Data for Scalable Analytics
Critical data was sequestered within disparate business units, creating isolated silos. This resulted in a heterogeneous data landscape with inconsistent schemas, complicating any unified data governance or cross-functional analysis.
Frequent, uncoordinated schema changes across source systems broke existing data contracts. This inconsistency introduced significant operational overhead, requiring constant manual intervention to maintain data pipeline efficiency and reliability.
The lack of a centralized data catalog and clear data lineage became a critical bottleneck. As the number of data products proliferated, this governance gap made it impossible to track data provenance, ensure quality, and manage dependencies, hindering further scaling efforts.
The existing data ingestion and transformation scripts were rigid and monolithically structured. This lack of modularity made even minor updates complex and risky, severely hampering the pace of new development and time-to-market for new data products.
Architecting an Intelligent Data Ecosystem with AI Agents
We architected a fundamental shift from a manual, siloed operation to an integrated, intelligent system. The solution established a new development paradigm where automation and governance are inherent, not afterthoughts. Following are the
Contract-First Development
Mandated API and data contracts as the initial step, enforced by AI agents to eliminate specification of drift and rework.
Shift-Left Data Governance
ntegrated validation and quality checks directly into the early development phases, catching issues of pre-production.
Persona-Driven Agentic Workflows
Deployed specialized AI agents that translate business logic from analysts into precise technical artifacts for engineers.
Schema-Centric Architecture
Built all pipelines and services around a dynamic, metadata-driven core to ensure interoperability and resilience to change.
Automated Artifact Generation
Agentic AI handlers managed complex file formats and auto-generated all necessary DDL, DML, and pipeline code.
End-to-End Automation
Streamlined the entire workflow from requirement intake to pipeline generation, ERD design, and final contract execution.
Transforming Data Silos: The Quantifiable Gain
200x Increase in Pipeline Throughput
The business can now develop and launch new data products and analytics features at a pace that was previously impossible, unlocking new revenue streams and operational capabilities.
180x Faster Shipment Data Processing
By automating the parsing of waybills and invoices, we slashed the data-to-insight lag. This provides near real-time visibility into the entire shipping network, enabling proactive management and superior customer tracking.
50% Reduction in Delivery Issue Resolution
AI agents that instantly analyze incidents and recommend fixes allow operations teams to resolve problems before they escalate. This directly translates to fewer delayed shipments, lower costs, and higher customer satisfaction.
40% Improvement in Contract Efficiency
Enforcing data contracts upfront eliminated misinterpretations and rework between teams. This streamlined development cycles, accelerated time-to-market for new data services, and reduced the operational cost of data errors.
About Indium
Indium is an Al-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative Al, Product Engineering, Intelligent Automation, Data & Al, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.
With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology-driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an Al-first world.
