The pandemic was perhaps the biggest wake-up call for direct materials sourcing teams. As supply and demand shocks reverberated through supply chains, teams scrambled to secure parts through whatever means necessary. Most of the time, they paid a premium and had to take extraordinary measures just to get what was needed.
What if more direct materials sourcing teams had access to part risk intelligence and supply chain risk intelligence platforms? They may have been able to better shield their companies from disruptive events. It’s just a matter of time before new supply chain shocks hit, and your process will be tested once again. But this time can be different.
Today, procurement professionals are still trying to manage and optimize their spend with disparate tools and disconnected market intelligence. This is exacerbated even more by the collaboration gap between engineering design and procurement execution. When addressed, this collaboration ultimately ensures the best part selection.
From sourcing from failing suppliers that impacts sourcing resiliency to dealing with unexpected cost fluctuations during market shifts, the way you manage part risk can have a big financial impact on your organization. That’s where part risk intelligence and supply chain risk intelligence platforms can help.
Supply chain risk intelligence platforms that tap into the power of AI to aggregate and contextualize your parts spend can concisely augment a global commodity manager’s ability to make the best sourcing decisions. That’s because advanced analytics make up the core of procurement platforms and provide actionable contextually blended insights.
These insights are geared toward prioritizing value drivers and prioritizing parts that have the best spend and sourcing resilience opportunities. For example, sophisticated part risk intelligence platforms provide comprehensive qualitative insight and awareness, such as pricing transparency, to quickly compare current pricing against market pricing. With hundreds of data sources and billions of part data points, platform users can quickly understand the corresponding lead time, inventory trends, part age, sources, and even alternate sources—all from a single, comprehensive view.
Here's a deeper dive into some of the features that sophisticated AI-powered direct sourcing platforms can bring to your part risk intelligence strategy:
If you’re still relying on traditional tools to navigate part risk, it’s time to update your part risk intelligence strategy. By incorporating hundreds of data sources and contextualizing billions of part data points, direct materials sourcing platforms powered by AI provide real-time intelligence and insights you can’t possibly squeeze out of a spreadsheet.
Many manufacturers have yet to make the leap to these AI-powered part risk intelligence platforms, so there’s a huge opportunity right now to get ahead of the competition in a very strategic way. An investment now will not only pay immediate dividends but will also set you up longer term to improve margins and add to top-and-bottom-line growth. Why wait?
AI enhances supply chain risk intelligence by analyzing vast amounts of data in real-time, identifying patterns, and predicting potential risks. It can monitor global news, weather patterns, political changes, and supplier performance to flag potential supply chain disruptions. By providing actionable insights, AI helps procurement teams make data-driven decisions, optimize sourcing strategies, and quickly respond to unexpected events, thus improving supply chain resilience and efficiency.
Watch our demo on demand and see why leading supply chains worldwide rely on LevaData's decision intelligence, procurement in supply chain management, and direct material sourcing platform.