Manufacturers have data available today to start using AI
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Many manufacturers believe they’re not ready for AI because they think their data isn’t organized or robust enough. However, the ERP systems they use daily are already rich in data that can support AI initiatives. Manufacturers might feel they need to start from scratch, but they’re closer to AI readiness than they realize. They just need to unlock the value in their existing data. Epicor ERP provides a smart manufacturing data structure that eliminates the silos of data that come from having disparate systems. With a single cohesive data framework, Epicor provides manufacturers the ability to leverage data more easily to take advantage of AI. |
It’s a common myth that you need advanced data systems or a team of experts to start with AI. Most manufacturers already have what they need: an ERP system filled with high-quality, structured data. It’s not about having perfect data; it’s about using what you have. ERP data is central to running your business. It’s curated, regularly updated, and vital for daily operations. With the right tools, manufacturers can tap into AI without massive data restructuring. They’re further along the journey than they think.
One immediate use case of AI in manufacturing is AI-driven querying. With AI, users can ask their ERP for specific insights—like how a product line performed last quarter or which suppliers are most cost-effective—without running reports or accessing multiple screens. AI delivers the ability to, in a way, have a conversation with your ERP. Another example is AI-supported inventory management. AI can help forecast demand, optimize stock levels, and even identify substitute products when something’s out of stock, all based on patterns learned from past data. These are practical solutions that directly impact productivity and efficiency in your day-to-day operations.
AI applications are designed to simplify work, rather than create more complexity. AI can automate repetitive or time-intensive tasks, freeing up employees to focus on strategic work. AI will support, not replace, people’s roles, enabling them to do more with less hassle.
Epicor Enterprise Content Management (ECM) is an example of how GenAI being applied to ERP applications will automate, and improve, previously manual processes. Epicor ECM creates high-quality structured data from the scattered and varied documents manufacturers deal with, like receiving or certification documents, which often come in inconsistent formats and from multiple sources. For manufacturers who need supply chain traceability and product documentation, this is a compelling use case for GenAI, which will allow you to ask questions about your content or add additional automation to ECM’s business workflows. The result is a more comprehensive end-to-end solution when Epicor ECM is combined with GenAI agents.
Looking to the future, AI is evolving rapidly, and one exciting result is deeper supplier relationship management. Imagine being able to identify and prioritize purchase orders that need immediate attention and automate follow-up communications—in your ERP using natural language prompts. AI can also tackle data deduplication, which can be a huge time-saver in inventory management, helping to clean up data inconsistencies that often go unnoticed. These advancements make manufacturers’ operations more efficient, reduce errors, and open the door to even greater AI-driven insights.
For manufacturers looking to begin their AI journey, it’s best to start small and start smart. First, familiarize yourself with basic AI concepts; there are plenty of free resources available from reputable sources. Next, engage with industry peers or associations for guidance and firsthand experiences. And perhaps most importantly, talk to your ERP partner. Ask about their AI capabilities and roadmap. At Epicor, we collaborate with our customers to develop AI solutions tailored to their needs, helping ensure a smooth transition into this new landscape.
Manufacturers have more resources at their disposal than they often realize, and AI is increasingly accessible. By demystifying AI and taking those initial steps, manufacturers can position themselves to reap significant benefits, both today and in the future.
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