Recent procurement innovations include the rise of artificial intelligence (AI) and procurement automation. Introducing incredible amounts of efficiencies and cost savings, procurement managers are now finding that their workflows are becoming ever more streamlined, too.
With so many advantages of AI and automation in modern procurement, it’s important to take a look at all the different ways in which these technologies can help you. That’s exactly what this article delves into, so keep reading to learn more.
How Can AI and Automation Enhance Modern Procurement?
Modern procurement is at the epicenter of innovation. Technologies such as AI and automation are leading to a range of advantages that can help businesses involved in procurement thrive and remain ever more competitive. Take a look at just some of the ways in which these sophisticated technologies are shaping the modern procurement landscape.
Data analysis and insights
A few examples of how AI and automation can enhance modern procurement include their use in data analysis and insights that help facilitate better decision making. In particular, these technologies can help with:
- Data processing and cleansing: Procurement data includes purchase orders, invoices, contracts, supplier performance metrics, and others. With AI algorithms and automation, this vast data can be processed, while automation can help clean the data up. This ultimately leads to better identification of errors, inconsistencies and duplicates.
- Pattern recognition and trends identification: The ability of AI to sift through large volumes of data means that it can quickly identify patterns and trends from the data that’s fed to it. One example of the way in which AI and automation can help include detecting seasonality in purchasing patterns. This can help teams in purchasing better plan for surges in demand.
- Predictions: It is also possible to use this tech to predict future outcomes. Looking at historical data, these tools can help identify any suppliers which may be at risk of non-compliance or forecast potential supply chain disruptions, driving better and more informed decision making processes.
- Supplier performance: By analyzing supplier performance data, AI can provide quickly accessible insights into which ones are performing well and which ones aren’t. This can also aid in the decision-making process, as it enables procurement managers to make more informed decisions.
Analyzing spend and costs
This is another area where AI and automation can help. Here are some practical examples of how these technologies can improve the financial side of the procurement equation by introducing cost-saving strategies.
- Market intelligence: With real-time market intelligence, AI can help organizations improve their spending. Real-time market data can include aspects such as changes in commodity prices, regulatory developments, and economic trends.
- Dynamic pricing: Negotiating pricing with suppliers can be a difficult job. However, AI can step in and recommend optimal pricing strategies by analyzing historical data.
- Risk assessments: If you work with global suppliers, you’ll want to mitigate against risks that range from financial health to geopolitical risks that can impact the supply chain. With such risk assessments in place, it makes it easier for procurement managers to create risk mitigation strategies.
- Performance benchmarking: AI can quickly and easily compare supplier performance in conjunction with benchmarks in the industry, offering insights into negotiation strategies and those that deal with evaluating suppliers.
- Reporting: Automation and AI can step up to the plate and offer real-time insights and data to the right organizational stakeholders, reducing manual efforts.
Selecting and evaluating suppliers
Selecting and evaluating suppliers is a major part of procurement. One wrong supplier and workflows and supply chains may be disrupted, affecting the end-customer. Here are some ways that AI and automation can help.
- Screening: Feed AI tools the right information about suppliers such as databases, financial reports, public information, and others to pinpoint those suppliers that meet predefined criteria.
- Performance monitoring: AI can be taught which key performance indicators to check the supplier against and then look out for any deviations from the norm.
- Diversity: To promote organizational diversity and inclusion, you can use AI to assess a supplier’s diversity data.
Sourcing and processes
Whether it’s a Request for Information, Request for Proposal, or Request for a Quotation (RFx), AI and automation can help with this aspect, too. Examples include:
- Data-driven sourcing: Strategies can be optimized with AI as it helps identify the best approach that covers factors including cost, risk, and supplier capabilities.
- Identification and prequalification: AI can scrape databases and publicly available information and then assess their capabilities and suitability.
- Generating RFx documents: Simply give the AI the right templates and requirements and these documents can be created instantly.
- Automating communication: Keeping information and communication about and with suppliers in one place helps to streamline efforts, while ensuring that no deadlines or other important details are missed.
Other ways that AI and automation can help
The above-mentioned examples are just a prelude to what procurement managers can enjoy when using AI and automation in their processes. Other examples include:
- Contract management
- Creating automated contracts
- Reviewing and approving contracts through predefined workflows
- Extracting critical data from contracts
- Keeping contracts organized
- Sending alerts and reminders
- Monitoring compliance
- Automatically renewing contracts
- Creating customized contract templates
- Facilitating contract collaboration and e-signatures
- Managing supplier relationships
- Tracking supplier performance
- Facilitating real-time collaboration
- Creating supplier scorecards and key performance indicators
- Identifying opportunities for development
- Offering recommendations for improvement
- Procure-to-pay process
- Automated requisitions
- Integrating supplier catalogs
- Generating purchase orders
- Automating approval workflows
- Matching and processing invoices
- Invoice approvals
- Automated payment processing
- Analyzing spend
- Handling exceptions
- Demand forecasting
- Historical data analysis
- Consideration of external factors
- Seasonal/cyclical pattern recognition
- Impacts on the supply chain
- Stronger inventory management
- Scenario modeling
- Demand sensing
Conclusion
It’s clear that AI and automation can significantly speed up procurement processes and contribute to strategic sourcing and introduce greater levels of procurement efficiency. Supplier management is no longer a manual and laborious process.
Instead, it is driven by data-driven procurement that facilitates stronger supply chain resilience. When it comes to your individual procurement BPO (business process outsourcing) efforts, you need a sound and reliable partner that can help introduce these advantages to your business.
That’s where StorsenDigital takes center stage with years of experience in multiple markets and at affordable prices. Simply get in touch with us and let us help you implement procurement best practices while ensuring you also mitigate risks in your vendor management process.
