One AI dashboard replaced 6 systems and 3 days of manual reporting

Three plants. Six systems. One very tired operations analyst spending three days every week building a PowerPoint deck for the Thursday leadership meeting. ERP data in one place, quality logs in another, production schedules in Excel, sales forecasts in email threads, machine uptime in a SCADA dashboard nobody checks, and supplier data in — you guessed it — another spreadsheet.

By the time the Thursday deck was ready, some of the data was already 4 days old. Decisions were being made on stale numbers. Twice in the past year, production scheduling was off because the data in the review deck didn't reflect a quality issue that had already been flagged in a different system.

We built a unified analytics layer. Not a new BI tool — they'd tried that already and nobody used it. We built a system that pulls from all 6 data sources, normalizes the data, and generates natural-language summaries. Instead of "Widget A: 94.2% yield, -1.3% WoW", the dashboard says "Widget A yield dropped for the third consecutive week — the decline correlates with raw material batch #4471 from Supplier X." It tells you what happened AND why.

Anomaly detection runs continuously. When machine utilization drops below threshold, or a quality metric trends downward for 3+ days, the plant manager gets an alert with context — not just a red number, but what changed and which upstream factor is likely driving it.

The Thursday meeting went from a 90-minute data review to a 25-minute decision session. The operations analyst now spends her time analyzing trends and recommending process improvements instead of copying numbers between tabs. Decision-to-action cycle dropped from 7 days to 1.8 days — 3.8x faster.

The COO's feedback: "For the first time, I trust the numbers in front of me because I know they're real-time, not someone's best guess from Tuesday." When leadership trusts the data, they act faster. When they act faster, the floor improves. That's the compound effect of good analytics.