# Managing dynamic marketplace content at scale: Grab's approach to content moderation

[Grab](https://yomu.fyi/company/grab) · Poonam Gambhire · Feb 1, 2024

**Type:** Explainer

## Summary

Grab manages content moderation across GrabFood and GrabMart, where merchants update over 100,000 item listings daily across eight countries. The platform must adhere to internal rules, local government regulations, and external platform guidelines across these markets. To handle scale and regional nuance, Grab uses an in-house automated system powered by algorithms and machine learning to scan daily listings for violations. Items flagged as requiring subjective judgment or cultural awareness are routed to human moderators for manual review. Additionally, Grab collaborates with Google to maintain compliance with Play Store policies.

## Context

Merchants across eight countries update over 100,000 dynamic listings daily on GrabFood and GrabMart, creating the challenge of maintaining compliance with internal rules, evolving government regulations, and platform policies.

## Approach / What changed

Grab combines in-house machine learning and algorithms for automated scanning with human moderators who review flagged listings requiring contextual and cultural judgment, while collaborating with Google on Play Store policy compliance.

## Takeaways

- Grab uses in-house machine learning models and algorithms to automatically scan over 100,000 daily merchant listing updates across eight countries.
- Human moderators handle listings flagged by automated systems when cultural awareness and subjective contextual judgment are required.
- Grab collaborates directly with Google to maintain compliance with Google Play Store policies and guidelines.

**Tags:** [Machine Learning](https://yomu.fyi/topic/machine-learning), [Scalability](https://yomu.fyi/topic/scalability)

[Read original post](https://engineering.grab.com/dynamic-marketplace)