engineering.grab.com
Oct 5, 2026
Powering AI-led research through simulation
AI-summarised brief · reviewed before publication
A new simulator, sim-rs, enables rapid experimentation with dispatch strategies in a food‑delivery marketplace. By ingesting historical booking and driver data as plain files, the tool runs a closed‑loop model that updates driver locations and future opportunities in real time. A single command processes an entire city day in minutes, producing a concise metrics report. The simulator’s self‑contained design eliminates the need for production services, allowing software agents to test dozens of strategies quickly and reproducibly. This approach addresses the scarcity of real‑world trials and accelerates AI‑driven decision‑making.
💡 Why It Matters
- · Rapid, repeatable testing unlocks insights that would otherwise require weeks of engineering and production experiments, accelerating innovation in high‑stakes logistics.
