Overview
A leading global aviation company, operating across multiple regions, manages large-scale inventory and spare parts to support continuous flight operations. With thousands of critical components spread across warehouses worldwide, ensuring the right part is in the right place at the right time is key to operational excellence.
Industry
Aviation
Services
Applied AI, Data Engineering & Analytics
Platform
1.5 Years
The client faced significant challenges in balancing supply and demand for spare parts. Lack of real-time forecasting and insights led to excess purchases, inefficient transfers, and delayed turnaround times for inventory. By leveraging Applied AI with Natural Language Processing (NLP), integrated with ETL pipelines, Dremio Data Lakehouse, and MCP capabilities, DnT Infotech enabled the client to optimize inventory planning, improve supply-demand forecasting, and achieve cost savings of $2.4M annually.
A global aviation leader, operating in 150+ airports, managing 150 aircraft, and handling 117,750 flights annually, transporting 829,419 tonnes of cargo and 10.1 million passengers with a 98% dispatch reliability. Their expertise in cargo logistics and passenger services positions them as a dominant player in industry.
Industry
Aviation
Services
IT System Integration & Scalability Enhancement
Platform
2 Years
The Challenges
1
Fragmented Data,
Limited Insights
Inventory data was spread across systems, making it difficult to unify and analyze in real time.
2
Excessive
Inventory Costs
Without demand-driven forecasting, new parts were frequently ordered unnecessarily, raising costs.
3
Inefficient
Transfers
Moving parts between warehouses lacked optimization, often leading to delays and excess logistics cost.
4
Slow Decision-Making
Operations leaders lacked AI-driven guidance for day-to-day decisions, affecting turnaround times.
5
Lack of Forecasting
Capability
Static reports did not provide predictive insights into supply-demand planning.
Solutions by DnT Infotech
ETL Pipelines for Clean,
Reliable Data
Automated extraction, transformation, and loading ensured accurate, structured data across all inventory systems.
Unified Data Lakehouse
with Dremio
Centralized inventory, supply chain, and operational data, enabling high-performance analytics.
MCP-Integrated
NLP Analytics
Business users could ask natural language questions (e.g., “Where do we need more AOG parts?”) and receive instant, actionable insights.
AI-Powered Demand
Forecasting
Machine learning models predicted inventory needs, avoiding excess ordering and improving stock allocation.
Cross-Warehouse
Optimization
AI-driven recommendations optimized transfers between warehouses, ensuring the right part availability at the right location.
Impact on the Business
$2.4M Annual Savings
through optimized ordering and reduced excess purchases.
Faster Turnaround Time
with AI-driven guidance for inventory allocation and movement.
Smarter Supply-Demand Planning
using predictive models for real-time and future forecasting.
Empowered Business Users
via NLP queries, eliminating dependency on IT or data experts.
Operational Agility
with AI-powered dashboards supporting proactive, data-driven decisions.
Scalable AI Platform
ready for future adoption of predictive maintenance and autonomous decision-making.
Conclusion
DnT Infotech’s Applied AI solution transformed inventory management for a leading aviation player. By combining ETL pipelines, Dremio’s Data Lakehouse, NLP-powered analytics, and MCP integration, the client gained real-time visibility and predictive insights across supply and demand. The outcome delivered measurable cost savings of $2.4M, faster decision-making, and improved operational turnaround—creating a scalable foundation for AI-driven growth.
HEAR FROM OUR CUSTOMER
What our client says
about working with us
“DnT Infotech’s Applied AI solution brought a breakthrough in how we manage inventory. With NLP-powered analytics and predictive forecasting, we now make smarter decisions daily, reduce excess costs, and ensure the right parts are where we need them. The $2.4M savings are just the beginning—we now have a future-ready AI platform.”
Global Aviation Client
Head of Operations