Between your enterprise resource planning (ERP), warehouse management system (WMS), customer service software, and other platforms, you’re generating tons of data every day. But how helpful is this data if you’re not using it? Supply chain intelligence (SCI) is how you get actionable insights out of raw information.
Using AI, Internet of Things (IoT) solutions, and advanced analytics to collect and analyze your operational data, you can make more strategic, proactive decisions. It enhances visibility into each aspect of your supply chain, enabling you to manage risks and meet your business goals.
What Is Supply Chain Intelligence?
SCI involves collecting data from multiple sources and assessing it for insights on everything from procurement and sourcing to distribution. Instead of making decisions based on fragmented data and reacting to supply chain issues, SCI lets you anticipate situations and plan ahead.
Intelligent supply chains aren’t limited to your internal data. Combining your raw data with information from supplier portals, market reports, and weather data improves predictive analysis. You can identify patterns impacting your supply chain and adjust workflows to manage risks, including delays and shortages.
Visibility vs. Intelligence: Why Real-Time Context Matters
Real-time asset tracking innovations, including IoT tags and GPS, have greatly improved end-to-end supply chain visibility for businesses like yours. But this isn’t always useful if you don’t know what you’re looking for. Supply chain visibility tells you what’s happening. SCI tells you how it impacts you and what to do about it.
For example, your inventory management system or sales platform may show significantly higher demand for a certain product over the previous quarter. Without context, you would order more inventory to meet increased demand. But if you look at a demand forecast based on historical sales, you would see that the increased demand is seasonal and will fall off next quarter. SCI helps you prepare for these upticks without carrying costly inventory you can’t sell later.
The Importance of Intelligent Supply Chain Management
The global supply chain is prone to interruptions. Market volatility, geopolitical disruptions, and fluctuating costs have become more common. These days, the question isn’t if you will see a supply chain disruption. It’s when and how long it will be. But even with delays, your customers will still expect the fast delivery they’re used to.
Intelligent supply chains enable you to proactively plan for these issues to keep your customers satisfied. On the other hand, if you’re looking at data without context, you’re likely reacting to supply chain volatility rather than planning ahead. This is the main difference between a reactive and proactive supply chain.
It may seem simpler to operate normally and just deal with problems as they arise, but reactive supply chain management is becoming more costly. Waiting to react to supply chain disruptions can lead to inventory shortages and longer wait times, which potentially damages your relationship with customers. You’re also handing sales to competitors who have the inventory on hand.
SCI puts you in a better position to anticipate disruptions and mitigate them. You maintain your expected service levels and reduce waste in the process.
How Intelligent Supply Chains Reduce Operational Friction and Risk
Intelligent supply chain management enables you to shift from reactive decision-making to proactive planning. SCI offers supply chain data and intelligence that keeps you informed of bottlenecks, delays, and other challenges and disruptions to make alternate plans. This intelligence can also guide automated workflows.
SCI goes beyond supply chain visibility by using AI and other tools to more accurately predict customer demand based on historical data and market insights. AI-driven forecasts combine traditional buying patterns and your supply chain KPIs with current market conditions, weather data, and global supply chain trends. Because these tools work with larger data quantities than what you could manually enter into a database, the supply chain predictive analytics are more accurate and don’t pose as many forecast challenges.
AI can help you identify inventory imbalances, transportation bottlenecks, and demand spikes before they spiral into large operational failures. AI in supply chain operations won’t replace supply chain management (SCM). Rather, it offers data and insights that make SCM more effective.
Key Factors of an Intelligent Supply Chain Architecture
You need the right programs in place, along with high-quality data, for a truly intelligent supply chain. Improve your global supply chain intelligence with:
- Real-Time Data Collection: IoT sensors, RFID tags, and other tracking devices collect and transmit data in real time to catch bottlenecks and other disruptions earlier. You can also keep customers informed if their order is delayed.
- System Integration: Even with AI demand planning, your supply chain intelligence is only as good as your data quality. Your ERP, WMS, transportation management system (TMS), and supplier platforms should sync with your SCI program for a full view of operations.
- Predictive Analytics and AI: Machine learning models interpret big data sets to identify patterns and surface anomalies to guide your forward-thinking decisions.
- Risk Mitigation and SCM Resilience: A good SCM platform offers dashboards, data visualizations, alerts, and reports that keep you informed without having to dig through the data. You are instantly notified of potential operational, logistical, and procurement issues for immediate decision-making.
- Feedback Loops: Your SCM should learn from previous outcomes to improve forecast accuracy over time. Accurate forecasts guide sound decisions.
Surgere’s AI-powered Interius SaaS offers all of these features to gather highly accurate data and gain deep insights to improve your SCM.
Supply Chain Intelligence Across Global Operations
When you work with a global supply chain, SCI becomes complicated fast. Suppliers and other partners in different countries report and format data differently, making direct comparisons difficult. You’re likely working with fragmented information and external volatility from geopolitical conflicts, natural disasters, varied regulations, and other factors.
Using a unified SCI platform enables better end-to-end visibility, no matter where your suppliers are located, for consistent decision-making.
Turn Data Into Actionable ROI With Supply Chain Intelligence Software
Make your data work for you through supply chain intelligence. Surgere offers a strong technological foundation to connect hardware, data, and analytics for useful decision-making tools. The Interius SaaS brings together systems to turn your real-time location and asset data into actionable insights. Our system works with Power BI to generate readable analytics you can understand.
Contact us today to transform your data into measurable results.
