Angel Marinov

Angel Marinov

Head of Innovation at ePlaneAI
February 14, 2025

Reducing Procurement Costs in Aviation with AI-Driven Direct Bidding

Procurement is the backbone of aviation operations. Airlines depend on sourcing everything from spare parts to maintenance services efficiently to keep their fleets in the air. That said, procurement in aviation isn’t straightforward—it’s a complex web of global supply chains, fluctuating costs, and compliance hurdles, where small inefficiencies lead to big financial losses.

Streamlining procurement is an untapped opportunity for cutting costs and driving efficiencies. With AI stepping in, aviation companies now have advanced tools and resources to transform the way they handle sourcing, supplier relationships, operational workflows, and more. This isn’t just about saving money—it’s about staying competitive in a cutthroat industry operating on the narrowest margins.

The challenges that plague aviation procurement

Procurement in the aviation industry is far from “smooth sailing”. Here are some of the main obstacles that aviation procurement specialists face. 

Global supply chain disruptions

The aviation industry relies on a vast, interconnected supply chain. Natural disasters, geopolitical conflicts, or even something as simple as a small port delay can create chaos. 

When critical parts are delayed, airlines scramble to find alternatives, often at a steep cost. These disruptions don’t just hurt procurement—they can ground planes and disrupt schedules.

Cumbersome manual processes

For many airlines, procurement still involves time-consuming methods like combing through long email threads, spreadsheets, and endless approval chains. 

These manual processes are also prone to errors, where something as minor as a misplaced decimal point can snowball into costly delays or inventory shortages.

Rising costs in a volatile market

Fuel, maintenance, and spare parts aren’t immune to inflation or other market volatility. Procurement teams must navigate fluctuating prices while balancing tight budgets. This constant pressure to reduce costs can lead to rushed decisions or short-term fixes that create inefficiencies and inflated costs down the line.

Regulatory compliance headaches

Aviation is one of the most highly regulated industries in the world. Every procurement decision must align with safety, environmental, and regional regulations for the FAA, EASA, and other governing bodies. 

The stakes are high, as non-compliance can lead to fines, reputational damage, or even grounded fleets. Procurement teams must juggle these requirements while managing already overwhelming workloads.

Revamping procurement with AI-driven solutions

AI has redefined what’s possible in procurement. With the automation of routine tasks, AI can analyze data in real-time and improve supplier coordination. Today’s technology is solving such challenges that have held airlines back for decades.

Automating the grunt work

AI is changing the game when it comes to procurement. AI technology can automate up to 90% of low-cost, high-volume purchases—transactions that historically ate up significant time and resources. Instead of being bogged down by routine orders, procurement teams can focus on high-value strategic tasks.

Nicole Mena, a buyer for JetBlue, describes how AI transformed her workflow in an Aviation Pros article. 

“We’ve significantly boosted our productivity by automating low-dollar, high-volume part transactions, and focusing our time and effort on high-value tasks.” 

These high-value tasks include evaluating suppliers to ensure reliability, tightening customer and supplier contracts to allow for greater flexibility, and dynamically adjusting pricing to further streamline automated procurement processes.

Smarter supplier relationships

Strong supplier relationships are essential, and AI strengthens them like never before. By streamlining communication and creating transparency, AI platforms help airlines negotiate better deals, secure competitive pricing, and improve inventory management. This unbiased, neutral lens results in greater cost savings and fewer disruptions.

Real-time insights through data

AI takes the guesswork out of procurement. Predictive analytics help procurement teams forecast demand, assess supplier performance, and optimize sourcing strategies. For airlines operating on thin margins, these insights are invaluable for making better-informed, faster decisions.

Success stories that prove AI works

Delta Airlines: a $2 billion transformation

In 2015, Delta Airlines set out to overhaul its procurement processes. The airline consolidated procurement operations, implemented automation, and developed long-term supplier partnerships. The results were staggering: $2 billion in cost savings over five years, along with a 20% reduction in procurement speed, a 20% reduction in carbon emissions from procurement activities, and a 50% decrease in overall procurement cycle times. 

Why this matters now 

Delta started this journey back in 2015, investing heavily in AI and fine-tuning its systems over the years. Fast forward to today, and you don’t need to reinvent the wheel—they’ve paved the way. With ready-made AI solutions like those from ePlaneAI, you’re not building the tech from scratch; you’re implementing proven systems that work.

But here’s the catch: if you can adopt these solutions, so can your competitors. That makes the urgency to act even greater. The industry has reached a turning point—delaying means falling behind in a race where the starting gun has already been fired. If you haven’t started integrating AI, the gap between you and the competition is only growing.

Avianca’s scaled procurement operations

Avianca, the world’s second-oldest airline in continuous operation, has adopted AI to scale its operations. The airline dedicated 2023 to enhancing operational efficiency and effectiveness through process evaluation, optimization, and automation, said Luis Angel Rodriguez Molana, the airline’s technical procurement coordinator. 

With an increased network of suppliers offering innovative, AI solutions tailored to the specific needs of Avianca, the airline reduced procurement cycle time and improved inventory management and strategic sourcing strategies, realizing major cost savings. 

Building a roadmap for AI adoption in procurement with ePlaneAI

Transitioning to AI-powered procurement might sound complex, but ePlaneAI simplifies the process with targeted, low-risk strategies designed to deliver immediate and measurable results. 

With its tailored solutions like Inventory AI, ePlaneAI enables aviation companies to transform procurement processes without disrupting ongoing operations.

Start with a pilot program

ePlaneAI’s approach begins with a focused pilot program. This allows procurement teams to experience firsthand how much and how easily AI can reduce purchasing cycle times, streamline workflows, and generate cost savings. 

The pilot phase is designed to integrate seamlessly with your existing ERP data, without requiring complex system overhauls, providing a low-commitment, high-impact way to evaluate the benefits of AI. For instance, InventoryAI’s automated purchase order generation and supplier evaluation features allow teams to see immediate improvements in efficiency and accuracy during this trial phase.

Seamless scaling and integration

Once the pilot program demonstrates measurable success (usually a matter of weeks, not months), ePlaneAI supports a seamless transition to full-scale deployment. The platform continues automating procurement tasks while integrating with existing ERP and enterprise asset management (EAM) systems. 

This phased approach maintains minimal disruption, enabling airlines to adopt AI gradually while maintaining their operational momentum. For example, InventoryAI’s real-time data analysis can sync effortlessly with ERP systems like Oracle or SAP, offering enhanced visibility into supplier performance and procurement costs.

Strategies to optimize procurement processes with ePlaneAI

AI isn’t a standalone solution. When paired with broader procurement strategies, AI can help complement and enhance efficiencies for significant benefits. Here’s how ePlaneAI’s AI platform supports best practices for maximizing efficiency and cost savings:

Streamline and standardize operations

Reducing redundancies and simplifying workflows is critical for optimizing procurement processes. ePlaneAI’s platforms automate routine tasks, like processing low-cost, high-volume transactions, freeing procurement teams to focus on strategic activities. 

With InventoryAI, airlines gain real-time visibility into stock levels, ensuring they maintain the right balance of inventory to avoid costly delays or overstocking.

Foster collaborative supplier relationships

ePlaneAI strengthens supplier relationships through its advanced communication and coordination features. InventoryAI facilitates bulk purchasing and strategic sourcing agreements by offering data-backed insights into supplier reliability and pricing trends. 

Such insights improve transparency and alignment between aviation companies and their suppliers, resulting in fewer disruptions and more competitive pricing.

Leverage data-driven decision-making

ePlaneAI’s tools empower procurement teams with actionable insights. Predictive analytics in InventoryAI help forecast demand, identify trends, and evaluate supplier performance with objective benchmark KPIs. 

This ensures that procurement decisions are unbiased and informed, resources are allocated effectively, and risks are minimized. For example, Inventory AI can analyze supplier delivery patterns to recommend adjustments that prevent delays and optimize cost efficiency.

The future of AI in aviation procurement with ePlaneAI

The aviation industry is at a critical juncture. Increasing operational demands, tighter margins, and the push for sustainability make efficient procurement essential. ePlaneAI’s solutions are designed to evolve alongside industry needs, ensuring agility and competitiveness.

Adapting to industry trends

ePlaneAI’s machine-learning capabilities allow it to address the dynamic challenges of aviation procurement. Whether predicting supply chain disruptions or recommending alternative suppliers, ePlaneAI’s tools equip airlines with the flexibility needed to stay ahead in an industry that values adaptability and precision.

Driving sustainability efforts

ePlaneAI helps airlines achieve sustainability goals by optimizing procurement cycles, reducing waste, and consolidating shipments to minimize carbon footprints. 

For example, using Inventory AII to improve demand forecasting accuracy can eliminate unnecessary orders, decreasing both costs and environmental impact, helping IATA member airlines in their ambitious push to be net zero carbon by 2050

Why enhanced procurement efficiency matters and how ePlaneAI leads the way 

Procurement inefficiencies aren’t just frustrating—they drain resources and impede competitiveness in a fast-paced industry. As aviation evolves, the role of AI in procurement is becoming indispensable. Air fleets that hesitate risk falling behind competitors already leveraging AI to reduce costs, enhance efficiency, and drive innovation.

ePlaneAI is leading this transformation with its aviation inventory optimization platform.. ePlaneautomates low-value tasks, enabling smarter decision-making with data-driven insights, and strengthening supplier partnerships. From cutting procurement cycle times to reducing environmental impact, ePlaneAI provides the solutions the aerospace industry needs to thrive in today’s cost-conscious and sustainability-focused landscape.

CTA: Aviation companies that invest in ePlaneAI today position themselves for long-term success. Ready to elevate your procurement processes? Contact ePlaneAI to explore how ProcurementAI and InventoryAI can revolutionize your operations. Let’s talk now! 

FAQs

According to Google Search, here are some of the most commonly asked questions or terms that people also search for when searching for information about (reducing) procurement costs in aviation. 

What is generative AI in procurement? 

Generative AI in procurement refers to the use of advanced artificial intelligence systems to create predictive models, generate recommendations, and streamline procurement processes. 

Unlike traditional AI, generative AI uses machine learning to analyze patterns in data and generate solutions that address procurement challenges, such as supplier selection, demand forecasting, and contract negotiations. 

ePlaneAI leverages AI-driven solutions to bring this advanced technology into aviation procurement, offering tailored solutions that minimize costs and enhance operational efficiency.

What are some generative AI procurement use cases? 

Generative AI has several transformative use cases in procurement:

  • Demand forecasting: Predicting future needs based on historical and real-time data to ensure optimal inventory levels.
  • Supplier selection: Evaluating and recommending reliable suppliers by analyzing delivery performance, pricing trends, and compliance records.
  • Automated RFQ processing: Streamlining the request-for-quote process by automating repetitive tasks and ensuring faster supplier communication.
  • Contract optimization: Identifying cost-saving opportunities and negotiating better terms through AI-generated insights.

ePlaneAI’s ProcurementAI exemplifies these use cases, enabling aviation companies to improve procurement efficiency and decision-making.

What companies are using AI for procurement? 

A growing number of companies in aviation, manufacturing, and logistics have adopted AI-driven procurement solutions to enhance efficiency. Major players like Delta Airlines and Avianca have implemented AI to optimize supplier relationships, reduce cycle times, and streamline operations.

ePlaneAI is a leader in AI-driven procurement for aviation, offering specialized tools like ProcurementAI and InventoryAI to help airlines and aerospace companies achieve similar success. These solutions are designed to tackle the unique challenges of aviation procurement, from regulatory compliance to managing global supply chains.

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