Presentation: Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience
Supply Chain & LogisticsOperationsData Science
THE AI ANGLE
Generating nightly retail inventory recommendationsWalmart Global Tech deployed a multi-agent LLM workflow across 4,700 stores to run nightly batch inventory forecasting. The system combines real-time data like weather with historical demand models to send direct stocking recommendations to store managers. Switching from provisioned throughput to pay-as-you-go cloud inference reduced operational costs from over $100,000 to $10,000 per month.
THE TEACHING ANGLE
Practitioners must consider whether to trust automated agent recommendations directly or require local human managers to verify every directive.Read the original at infoq.com Generate teaching or study materials
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