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RetailForecastingAutomation

AI-Powered Inventory Forecasting for Retail

How we helped a retailer cut overstock by 34% using AI demand forecasting integrated into their existing Airtable setup.

Tools:ClaudeAirtable

The Challenge

Write 2-3 sentences about the business problem.

What We Built

Describe the AI solution we implemented.

How It Works

Explain the technical approach simply.

Results

  • 34% reduction in overstock
  • 5x faster reorder decisions
  • $200k saved in first quarter

Tools Used

Claude for demand signal analysis, Airtable as the data layer, Zapier for workflow automation.

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