Knowledge is power for manufacturers—but not all knowledge has equal impact.
Understanding the past helps manufacturers identify strengths and weaknesses. Looking at the present makes it possible to prevent mistakes or seize opportunities. But knowledge of the future is by far where the most power comes from. When manufacturers can predict what’s coming and do so accurately, consistently, and dynamically, they can position themselves early to maximize the rewards and minimize the risks.
Smart manufacturing gives manufacturers a greater understanding of the past, present, and future, but the ability to predict the months and years ahead will transform manufacturing as we know it. The combination of ERP + AI makes that possible like never before. It’s a reality that all manufacturers must plan for, both in terms of how they will leverage predictive capabilities of their own and how they will compete against companies with the same advantages.
With smart manufacturing quickly coming online, the time to prepare is now.
How ERP + AI Facilitates Predictive Capabilities
Modern ERP systems excel over past solutions in several regards. They break down data silos and combine multiple data streams into a true single source of truth. They collect data from more sources with the help of IoT devices and integrate it with existing information at real-time speed. And they leverage the cloud to ensure that ERP works everywhere, for everyone, all the time.
In essence, ERP contains more data than ever. Combining all that information with AI, which can organize, analyze, forecast, and model information in powerful ways, makes predictive capabilities possible. Manufacturers can look farther into the future and make more precise predictions about what will happen when AI has enough data at its disposal. They can also leverage predictive capabilities without needing experience or training in data modeling by simply asking for predictions in natural language.
With ERP + AI, the future comes clearly into focus.
What Predictive Decision-Making Means for Manufacturing
There’s only so much that manufacturers can do to optimize production or innovate operations. To a large extent, success depends on making the existing approach continue working even as forces around the business change in unpredictable ways. Being able to predict those forces early and see the impact before it happens makes it possible to bypass disruptions, change proactively, and adapt strategically. Creative manufacturers will find countless ways to leverage predictive capabilities, but a few compelling examples include:
- Anticipate Downtime: AI can analyze maintenance records, correlate them with machine performance data, and predict when breakdowns will happen, allowing technicians to intervene beforehand and prevent downtime.
- Optimize Inventory: Comparing historical sales flows against current economic conditions leads to accurate demand forecasts that indicate how much inventory to keep on hand to avoid over- and under-stocking.
- Increase Agility: Using signals from the supply chain and sales team, manufacturers can anticipate when production will need to grow or shrink and take measures to prepare the business appropriately.
- Act Boldly: Taking the guess work out of strategic planning by understanding what lies ahead allows decision-makers to plan changes, spend capital, or conserve resources and feel confident they’re making the right choice.
How to Unleash Predictive Capabilities
Making predictive capabilities not just possible but also practical and productive has two fundamental requirements. The first is technological. Manufacturers need a modern ERP capable of synthesizing massive amounts of data that comes with AI smart enough to make trustworthy forecasts and effectively model “what-if” scenarios. Many ERP products claim to turn data into foresight, but far fewer can back it up with reliable results.
The second requirement is strategic. Manufacturers need to understand what they should be predicting, how far in the future to look, and how to adapt their operations and outlook accordingly. Powerful as these capabilities may be, AI isn’t an oracle, and some forecasts are more reliable and impactful than others. It will be important to build confidence, prove ROI, and align adoption with business goals over the course of a pilot period rather than trying to predict anything and everything immediately.
Take the Next Step Towards Predictive Capabilities
Manufacturers are used to being reactive, looking at past data to make decisions. With ERP + AI, they become proactive, preparing for the future before it happens. It’s a fundamental change in mindset that can’t be underestimated, happening at the same time that smart manufacturing transforms so many other assumptions and expectations.
At Guide Technologies, we help companies adapt to the era of smart manufacturing and thrive while they transform. Our team of manufacturing technology experts can put ERP and AI tools in place that make predictive capabilities possible along with so much more. We also help clients update their production processes, business strategy, and organizational culture to align with the future of manufacturing.
What lies ahead? Contact Guide Technologies to get the answer.
