--- title: "Supercharging DoorDash logistics through causal ML and joint optimization" url: https://daily.dev/posts/supercharging-doordash-logistics-through-causal-ml-and-joint-optimization-dayt4yydi source_url: https://careersatdoordash.com/blog/supercharging-doordash-logistics-through-causal-ml-and-joint-optimization type: article source: "Doordash" published: 2026-05-21T18:45:41.854Z updated: 2026-05-21T18:46:14.251Z tags: ["machine-learning"] reading_time: 14 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Supercharging DoorDash logistics through causal ML and joint optimization **[Doordash](https://daily.dev/sources/doordash)** · 14 min read · 1 upvotes · 0 comments ## Summary DoorDash engineering team describes how they replaced independent supply and assignment systems with a unified joint optimization framework. The new system uses causal ML to estimate the heterogeneous treatment effects of Dasher peak pay incentives and delivery batch rates on delivery duration and cost. Key technical choices include: formulating the problem as a constrained integer program over discretized decision variables, using R-learner with LightGBM as the base causal model, designing low-cost RCT experiments (small-exposure A/B and multi-arm switchback) to gather unbiased training data, and applying a softplus constraint to enforce non-negative HTE predictions. The result is a two-stage proactive/reactive optimization system validated via A/B tests to improve delivery quality while reducing total cost. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Smarter promotions with causal machine learning](https://daily.dev/posts/smarter-promotions-with-causal-machine-learning-ygancerwy) · Doordash · 0 upvotes · 0 comments - [Using LLMs to infer grocery preferences from DoorDash restaurant orders](https://daily.dev/posts/using-llms-to-infer-grocery-preferences-from-doordash-restaurant-orders-ig7ur8p29) · Doordash · 1 upvotes · 0 comments - [Part 1: DoorDash 2025 summer intern projects](https://daily.dev/posts/part-1-doordash-2025-summer-intern-projects-d0jgiftvq) · Doordash · 0 upvotes · 0 comments - [Part 4: DoorDash 2025 summer intern projects](https://daily.dev/posts/part-4-doordash-2025-summer-intern-projects-jfbjtyoh1) · Doordash · 1 upvotes · 0 comments - [How DoorDash uses AI Models to Understand Restaurant Menus](https://daily.dev/posts/how-doordash-uses-ai-models-to-understand-restaurant-menus-ibczh6mpz) · ByteByteGo · 6 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning) [View this post on daily.dev](https://daily.dev/posts/supercharging-doordash-logistics-through-causal-ml-and-joint-optimization-dayt4yydi)