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Manufacturing · AI + Analytics

Built AI-driven data analytics for a textile manufacturer to expose leakage and growth opportunities.

Leadership teams were making high-value calls without a unified line of sight into where value was leaking across operations.

Leakage Visibility

Real-time

Decision Latency

↓ 82%

Executive Adoption

9/10 Leaders

Margin Uplift Signals

Mapped Quarterly

"We finally had one dashboard that told us where to defend and where to grow."

Chief Operating Officer

Client Context

A large textile manufacturer was running complex multi-site operations with fragmented data between production, inventory, procurement, and sales functions.

Core Challenge

Commercial and operating metrics existed, but were disconnected. It was difficult for executives to identify margin leakage and prioritize growth opportunities with confidence.

Turning Point

We designed a decision-grade analytics framework focused on leakage detection, profitability signals, and growth opportunity mapping for C-suite consumption.

Delivery Journey

The team built integrated data pipelines, AI-assisted anomaly detection, and executive scorecards that tied risk and opportunity signals to specific business owners.

Human Impact

Business leaders moved from debate to alignment in strategy reviews because everyone was working from one trusted version of performance reality.

Outcome

The organization gained faster strategic visibility, stronger accountability on leakage control, and clearer direction on where expansion investments would return value.

Next Step

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