# How Walmart Rebuilt Its Supply Chain with Real-Time Data Page: https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-walmart-rebuilt-its-supply-chain-with-real-time-data-2 Text version: https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-walmart-rebuilt-its-supply-chain-with-real-time-data-2.md Podcast: [The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org](https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807) Published: 2026-06-18T19:20:11+00:00 Episode link: https://audio.fexingo.com/business/the-cto-podcast/episode-0059.mp3 Audio file: https://audio.fexingo.com/business/the-cto-podcast/episode-0059.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/episodes/how-walmart-rebuilt-its-supply-chain-with-real-time-data-2 Duration seconds: 461 ## Resource Walmart's supply chain is the largest in the world, moving over 5 billion units annually. In this episode, Lucas and Luna explore how Walmart rebuilt its supply chain on real-time data from edge to shelf. They break down the 2019 shift from batch processing to streaming events, the use of Kafka at massive scale, and how a machine learning model called 'Eddie' predicts demand by the hour. Lucas explains why Walmart moved its inventory management from mainframes to a cloud-native architecture built on Google Cloud, and how real-time visibility reduced out-of-stocks by 16% in pilot stores. The conversation covers the technical trade-offs—why they chose Apache Beam for processing, how they handle data locality across 4,700 stores, and what happens when a hurricane disrupts the supply graph. Luna pushes back on whether smaller retailers can replicate this, and Lucas outlines the core principles that transfer. This is a deep, non-obvious look at how the world's largest retailer treats logistics as a data platform. #Walmart #SupplyChain #RealTimeData #ApacheKafka #ApacheBeam #GoogleCloud #MachineLearning #InventoryManagement #DataEngineering #TechArchitecture #BusinessAndTechnology #CTO #Logistics #RetailTech #StreamingData #EdgeComputing #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/episodes/how-walmart-rebuilt-its-supply-chain-with-real-time-data-2/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-walmart-rebuilt-its-supply-chain-with-real-time-data-2.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.