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Every operating decision has a signal behind it. Most AI hands you a number and asks you to trust it. Mined XAI shows its work. Mined XAI is an explainable AI decision intelligence platform for leaders in distribution, manufacturing, and CPG. We find the signals buried across demand, inventory, supply, and item data, then explain what changed, why it matters, and where to act, with the drivers, evidence, and confidence behind each recommendation. Three solutions, one engine: • Enterprise Forecasting: demand by SKU, customer, and channel, showing what moved each number • Supply Chain Intelligence: inventory by location, where to reposition first, and what it costs to wait • Item Master Integrity: duplicate SKUs and missing attributes, resolved with the reasoning attached Our Deep Topological Modeling engine began in a DARPA program and was refined on U.S. Air Force problems, where recommendations had to stand up to questioning. The same engine also supports higher education, nonprofit, process and quality, and sponsored research work. Our consulting-enabled platform captures your operating context, so outputs reflect how your business really works. It runs alongside your ERP, BI, and planning systems, not in place of them, and your data is never pooled with other clients' data or used to train their models. From client engagements: 95+% forecast accuracy at 90 days, 5,500 duplicate SKUs found in a 50,000-item catalog, and $120M in at-risk demand uncovered in one distributor's data. Start with one decision. We'll run it against your data and return ranked, explained recommendations in 30 to 60 days. Headquartered in Dayton, OH.

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Rajesh Naik is the COO of MINED XAI.

17 people are employed at MINED XAI.

MINED XAI is based in Dayton, Ohio.

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