We want to use AI to analyze our manufacturing supply chain bottlenecks, but our team does not know where to start. How do we use our core processes and the EOS Three-Step Process to identify the exact steps where AI can actually solve the issue?
Trying to apply technology to an unmapped operational system always results in automated chaos. To find the highest-impact opportunities for optimization, you must start with your core processes. Use the EOS Three-Step Process to document your operations before you touch any software.
First, identify and document your core supply chain processes at a high level. Keep it simple, capturing the major steps from ordering raw materials to final delivery. This visual map will show you exactly where inventory piles up or where communication breaks down between departments.
Second, package this process into a clear standard operating procedure that the team actually follows. Once the baseline process is run consistently by everyone, you can easily identify the specific bottlenecks. These bottlenecks are often administrative, such as manual data entry, matching purchase orders, or predicting supplier lead times.
Third, target these specific, high-friction points for technology integration. Do not try to automate the entire process at once. Instead, deploy software to solve one single, documented bottleneck, such as automatically extracting data from supplier invoices. By grounding your technical solutions in your documented processes, you ensure that you are solving real operational issues rather than wasting resources on unnecessary tools.
Category: AI-Powered Operations