# How Doordash Rebuilt Delivery Logistics for Peak Demand Page: https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-doordash-rebuilt-delivery-logistics-for-peak-demand Text version: https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-doordash-rebuilt-delivery-logistics-for-peak-demand.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: 2026-06-23T07:30:41+00:00 Episode link: https://audio.fexingo.com/business/the-cto-podcast/episode-0068.mp3 Audio file: https://audio.fexingo.com/business/the-cto-podcast/episode-0068.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-doordash-rebuilt-delivery-logistics-for-peak-demand Duration seconds: 482 ## Resource This episode of The CTO Podcast dives into how Doordash rebuilt its delivery logistics platform to handle peak demand during the COVID-19 pandemic and beyond. Lucas and Luna explore the specific architecture decisions behind Doordash's real-time dispatching system, which processes millions of orders per day with sub-second latency. They discuss the shift from a monolithic Rails backend to a microservices-based system using Kotlin and gRPC, the use of geospatial indexing with PostGIS for proximity search, and the implementation of a custom time-series database for demand forecasting. The conversation also covers how Doordash handles 'dark store' inventory synchronization and the trade-offs between centralized and decentralized routing algorithms. Listeners will learn one concrete insight: how Doordash uses a technique called 'batch optimization with rolling horizons' to balance driver utilization and customer wait times. Perfect for CTOs, engineering leaders, and anyone interested in the operational challenges of real-time logistics at scale. #Doordash #DeliveryLogistics #Microservices #Kotlin #PostGIS #RealTimeDispatching #DemandForecasting #TimeSeriesDatabase #BatchOptimization #RollingHorizons #DarkStore #gRPC #EngineeringLeadership #CTO #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TheCTOPodcast 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-doordash-rebuilt-delivery-logistics-for-peak-demand/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-doordash-rebuilt-delivery-logistics-for-peak-demand.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.