How AI Is Making It Easier To Close Supply Chain Gaps How
How AI Is Making It Easier To Close Supply Chain Gaps: Building Small Tools To Fix Costly System Breaks
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Executive Summary

Supply chain teams often spend hours fixing reports, reconciling data, and resolving errors caused by gaps between systems. These gaps can lead to inventory discrepancies, backorders, lost sales, unnecessary costs, and hours of manual work. But many are too specific for packaged software and too small to justify a major integration project.

AI is changing the cost and speed of solving these problems. Teams can use coding models to build targeted tools in weeks. Once built, the tools can run like conventional software, applying defined rules without requiring an AI model each time.

At a $15 billion consumer goods manufacturer, planners spent over 50 collective hours each week reconciling inventory data. A small tool reduced the process to about 10 minutes, enabled same-day discrepancy detection across distribution sites, and freed planners to focus on root causes.

The paper examines how these small, purpose-built tools can close supply chain system gaps and what organizations need to turn them into lasting capabilities.

Read the paper now.

 

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Frequently Asked Questions

Supply chain system gaps occur when connected systems do not share or reconcile data cleanly. This can leave teams manually fixing reports, checking inventory data, and investigating discrepancies.

AI can help build small, targeted tools that clean data, reconcile systems, apply defined rules, and present results. Once built, these tools can run without AI in the process.

System gaps can create inventory discrepancies, backorders, lost sales, unnecessary tax costs, and hours of manual work. They can also make it harder to identify the source of inventory problems.

AI-built tools suit problems that have clear, repeatable steps but are too specific for packaged software or too small to justify a large custom integration project.

The paper identifies two important steps: central hosting and clear ownership. Central hosting supports wider access and governance, while a named owner can keep the tool updated as systems and data formats evolve.