Generative AI in Procurement: Redefining the Future of Purchasing

Generative AI in Procurement: Redefining the Future of Purchasing

Dorota Owczarek - September 17, 2024

Procurement leaders can’t afford to delay shaping an AI strategy for the business. Whether it’s refining negotiation strategies, automating routine tasks, or analyzing vast amounts of structured and unstructured data for actionable insights, generative AI is transforming the way procurement processes are managed. For procurement organizations or departments that are looking to stay competitive, the ability to leverage this technology effectively will be crucial.

With recent advancements in the technology space, it is the generative AI we should be taking a deeper look at. The potential of generative AI goes beyond chat-like text generation; it offers a deeper understanding of supplier documents, performance, market trends, and even internal data. With the right tools, procurement professionals can unlock valuable insights that were previously hidden in unstructured data and make more informed decisions. This isn’t about replacing your team with AI; rather, it’s about empowering them to focus on better procurement strategies and building stronger relationships with suppliers.

As chief procurement officers and procurement teams start to explore the possibilities of generative AI, it’s essential to consider how this technology can be integrated into your current systems and processes. Whether you’re automating purchase orders or using AI for negotiation preparation, the time to act is now. Read on to find out how to embrace digital transformation and position your organization to harness the full power of AI in procurement.

What is Generative AI?

Before we dig deeper into the use of generative AI in procurement, let’s touch base on some basic yet often misunderstood technical concepts. The landscape of AI is broad, and it’s important to distinguish between tasks that can be solved by regular AI and the unique challenges that generative AI is best suited for.

Regular AI and machine learning (ML) models handle areas like forecasting, optimization, simulation, what-if analysis, and predictive modeling—all critical for ensuring efficient procurement processes, predicting supplier performance, and managing inventories. These tasks can rely on structured and unstructured data, where patterns and predictions are built from vast amounts of numerical information or historical trends.

Generative AI (GenAI), on the other hand, takes things a step further. It’s all about generation—creating something new from existing data. Whether it’s generating text, images, or even structured outputs like reports, GenAI is especially powerful in handling unstructured data (think contracts, proposals, or negotiation histories). At the heart of GenAI are Large Language Models (LLMs), which can understand and generate human-like text, allowing procurement teams to process complex documents, summarize key insights, and even generate suggestions or responses that mirror the decision-making of a skilled negotiator.

Generative AI is best suited for unique challenges

Generative AI is best suited for unique challenges

So, what exactly does GenAI generate in procurement? It can create draft negotiation strategies, supplier communications, summaries of lengthy procurement contracts, and even purchase orders or reports on supplier performance. LLMs allow GenAI to comprehend vast amounts of unstructured data, transforming it into something actionable and useful. This could be automated purchase order generation, or creating an overview of market trends based on the latest supplier communications and external data.

Combining GenAI, Traditional ML, and Software Engineering in Procurement and Supply Chains

Generative AI, when combined with traditional machine learning and advanced software engineering, has the potential to create truly competitive solutions that revolutionize procurement and supply chain operations. Generative AI offers rapid, intuitive insights and predictions, while traditional AI/ML excels in producing accurate forecasts, optimizing inventory, and managing production schedules.

Together, these technologies enable faster, data-driven decisions, improving supply chain efficiency and responsiveness. Unified by robust software engineering, the combination allows organizations to integrate internal and external data sources, creating a digital twin that provides real-time visibility and control across the entire procurement process.

GenAI and traditional software engineering bring additional value

GenAI and traditional software engineering bring additional value

In the next sections, we’ll explore how generative AI is redefining specific procurement processes, from automating tasks to providing valuable insights into supplier data and helping procurement teams adopt better negotiation strategies.

Key Areas Where Generative AI is Transforming Procurement

Generative AI is reshaping procurement processes by bringing unprecedented levels of efficiency, automation, and data-driven decision-making. From streamlining negotiations to automating routine tasks, procurement teams can now leverage this cutting-edge technology to unlock new capabilities. Let’s explore the key areas where generative AI is making a transformative impact.

1. Automating Supplier Negotiations and Proposal Management

Generative AI revolutionizes how procurement teams handle supplier negotiations, automating much of the effort required to process and evaluate proposals. It enables process automation, reducing the time procurement professionals spend on routine tasks like comparing quotes and drafting responses.

  • AI-driven RFP creation: Generative AI automatically generates RFP documents, integrating both internal and external data to identify suitable suppliers.
  • Intelligent document processing: AI uses cognitive services to analyze supplier proposals, detect key information like pricing, contract terms, and delivery schedules, and ensures high accuracy in identifying the most relevant details.
  • Pricing analysis and disruption detection: LLMs can be used to evaluates external factors, like market changes or geopolitical risks, to predict (or better justify) price changes.
  • Advanced negotiation tactics: Generative AI’s ability to integrate internal and external data provides procurement teams with a clearer view of supplier performance and external factors impacting sourcing and awarding selected offers. Procurement teams can leverage better negotiation strategies through AI-based analytics, reducing human intervention while optimizing supplier relationships.
  • Decision-making support and autonomous awarding: AI evaluates proposals, using advanced analytics to analyze vast amounts of supplier data and provide actionable insights with high accuracy. This tech enables procurement teams to efficiently manage thousands of simultaneous negotiations.

2. Streamlining Contract Management & Compliance

Managing contracts can be a complex process, but AI in procurement simplifies document creation, compliance checks, and contract negotiations. Generative AI assists in drafting contracts while providing real-time updates on external regulations, ensuring organizations maintain compliance.

  • Automated contract creation: AI can auto-generate compliant contracts based on predefined criteria, reducing manual work.
  • Contract analysis: AI enhances potential risk detection by scanning contracts for anomalies, helping procurement professionals make well-informed decisions.

3. Spend Analysis and Cost Optimization

Generative AI is a powerful tool for spend analysis, scanning large volumes of procurement and supplier data to highlight opportunities for cost savings. This AI system categorizes spending patterns and identifies inefficiencies, enabling procurement organizations to optimize their budgets.

  • Data-driven insights: With new data and analytics tools, AI improves decision-making by identifying trends and highlighting the most cost-effective suppliers and contracts.
  • Strategic development: AI-powered spend analysis equips category managers with the information they need to develop procurement strategies that deliver long-term value.

How GenAI brings value through different solutions

How GenAI brings value through different solutions

Benefits of Generative AI in Procurement

Generative AI is quickly proving to be a game-changer in procurement, unlocking new efficiencies and transforming how procurement teams and category managers approach sourcing, negotiation, and risk management. According to recent research from Everest Group (2024), a large majority of procurement leaders are already recognizing significant advantages. Let’s dive into the key benefits they are experiencing:

Increased efficiency and time savings (98%)

Automation is always a time saver. One of the most significant advantages is the ability of Generative AI to automate routine tasks across procurement processes. Tasks like document creation, supplier proposals, and negotiation preparation—once requiring hours of manual effort—can now be handled in a fraction of the time. This allows procurement professionals to focus on strategy rather than getting bogged down by repetitive work.

The result? Faster decision-making and reduced time to complete procurement cycles. In essence, Generative AI enhances process automation while reallocating human resources to higher-value tasks that truly impact the bottom line.

Improved accuracy in decision-making (63%)

Large language models and omnimodels can analyze vast amounts of both structured and unstructured data at high speeds, delivering insights with high accuracy. This reduces human error, allowing procurement teams to make better, data-driven decisions. Generative AI helps procurement teams quickly identify similar patterns in data, whether analyzing supplier performance, evaluating market conditions, or making informed decisions on external relationships and partnerships.

Better risk management and compliance (55%)

Generative AI not only assists in decision-making but also enhances risk management by analyzing external data to flag potential issues with suppliers or compliance requirements. With these AI systems monitoring potential risks and regulatory compliance factors in real time, human intervention is only needed when absolutely necessary.

Whether it’s flagging a non-compliant supplier or predicting a supply chain issue, AI tools allow procurement teams to act proactively, reducing the need for reactive measures. This proactive approach empowers procurement professionals to mitigate risks before they escalate into larger challenges, particularly in highly regulated industries. The ability to make decisions without the immediate need for human intervention also ensures greater compliance and operational fluidity.

Cost reduction and savings (55%)

AI’s ability to process and analyze data for more effective tactics and negotiation strategies leads to tangible cost savings. From automating purchasing orders to identifying optimal supplier contracts, AI in procurement minimizes waste and maximizes the impact of every dollar spent. As AI continuously learns and improves from new data, procurement teams can optimize their strategies, ensuring that they secure the best deals with suppliers and business partners while keeping costs low.

Enhanced supplier collaboration and relationship management (40%)

Although fewer respondents currently view Generative AI as a critical factor in external relationships, there’s immense potential in this area. AI systems can facilitate more informed and efficient communication between procurement teams and suppliers, improving collaboration and driving long-term supplier performance. As AI takes over time-consuming tasks, procurement teams can focus more on innovation and nurturing deeper partnerships.

Research by Everest Group on the benefits of using generative AI in procurement

Research by Everest Group on the benefits of using generative AI in procurement

The Importance of AI-Based Point Solutions in Procurement

AI-based point solutions are like the small but powerful building blocks of a modern procurement strategy. These tools focus on specific tasks—such as automating routine processes, optimizing supplier management, or improving inventory control—and can make a huge difference without the need for a full system overhaul. The beauty of these solutions is their ability to seamlessly integrate into your broader ERP ecosystem. Whether you’re using SAP, Salesforce, or another ERP platform, AI point solutions can connect via APIs, enhancing capabilities without disrupting your existing systems. This flexibility allows procurement teams to stay agile, making improvements where they’re needed most, while continuing to scale as new challenges arise.

Focus on point solutions and unlock efficiency, improve decision-making, and strengthen supplier relationships—all while leveraging your current ERP infrastructure. Think of them as a quick win for boosting your procurement strategy, with minimal effort required to get them up and running.

Unlock the Future of Procurement with nexocode AI Experts

Generative AI is revolutionizing procurement, and at nexocode, we’re ready to help you stay ahead of the curve. Whether you’re looking to optimize your supplier negotiations, streamline routine processes, or enhance data-driven decision-making, our AI-based solutions can seamlessly integrate into your existing ERP systems. Our AI-based building blocks are designed to give your procurement team the tools they need to drive efficiency, reduce costs, and build stronger relationships with suppliers.

Ready to transform your procurement strategy? Contact nexocode today and discover how our tailored AI solutions can help you unlock the full potential of AI in procurement.

Let’s shape the future of procurement, together.

About the author

Dorota Owczarek

Dorota Owczarek

AI Product Lead & Design Thinking Facilitator

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With over ten years of professional experience in designing and developing software, Dorota is quick to recognize the best ways to serve users and stakeholders by shaping strategies and ensuring their execution by working closely with engineering and design teams.
She acts as a Product Leader, covering the ongoing AI agile development processes and operationalizing AI throughout the business.

Would you like to discuss AI opportunities in your business?

Let us know and Dorota will arrange a call with our experts.

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Dorota Owczarek
AI Product Lead

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This article is a part of

AI in Logistics
53 articles

AI in Logistics

Artificial Intelligence is becoming an essential element of Logistics and Supply Chain Management, where it offers many benefits to companies willing to adopt emerging technologies. AI can change how companies operate by providing applications that streamline planning, procurement, manufacturing, warehousing, distribution, transportation, and sales.

Follow our article series to find out the applications of AI in logistics and how this tech benefits the whole supply chain operations.

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