How a Distributor Built AI-Ready Operations by Stabilizing Delivery First

Is Your Company AI Ready?

Executive Summary

Like many distributors, this organization wanted to leverage AI to improve forecasting, efficiency, and decision-making. But early AI efforts failed to deliver value.

Integratz helped leadership recognize a critical truth: AI cannot fix unstable systems.

By stabilizing delivery, improving data quality, and introducing probabilistic forecasting, the organization became genuinely AI-ready - without chasing tools.

The Challenge: AI Without Reliable Data

The organization explored AI for:

• Forecasting delivery

• Optimizing workflows

• Improving planning accuracy

But results were inconsistent:

• Historical data was unreliable

• Delivery timelines fluctuated wildly

• Forecasts were based on estimates, not reality

AI models amplified noise instead of insight.

The Root Cause

AI requires:

• Stable processes

• Clean, consistent data

• Predictable system behavior

This organization had none of those. Their delivery system was statistically unstable, making AI outputs unreliable.

The Results

• Over 90% of work delivered within forecasted ranges

• Predictable delivery timelines

• Reliable historical data

• Leadership confidence in AI-assisted decision-making

• AI became an accelerator - not a risk