# How Toyota uses Notion

**3x**: “reduced approval timelines by 3x”

As published on [notion.com](https://www.notion.com/customers/toyota), July 2024. Captured by usedby on 2026-10-13.

- Company: [Toyota](https://www.usedby.ai/companies/toyota.md)
- Tool: [Notion](https://www.usedby.ai/tools/notion.md)
- Industry: [Automotive Manufacturing](https://www.usedby.ai/companies/industry/automotive-manufacturing.md)
- Teams: Frontier Research Center

## What the story says

Toyota's Frontier Research Center uses Notion to run the approval workflow for its social media posts and to keep research schedules, budgets, meeting minutes, tasks and research knowledge in shared databases. It serves as a single source of truth with automations, notifications and timeline views.

Summary written by usedby from the source page, in English. The figures are those of Notion and Toyota, not ours.

> With Notion, every post gets drafted and sent for approval in an easy-to-follow workflow that ends with a single click of the “approve” button that reduced approval timelines by 3x.

> Not only do our streamlined workflows in Notion save us time, they also make it easier to stay up to date on task details and progress. This means our social media posts are more accurate, and we can publish them faster than before.
>
> Taku Wakasugi, Toyota Frontier Research Center

Source: [notion.com](https://www.notion.com/customers/toyota), captured 2026-10-13.

## What usedby checked

We compared the story with its live page on 2026-10-13.

- Checked: the figure 3x is printed word for word on the page, near the name of Toyota.
- Checked: the passage quoted above is copied word for word from the page, near the name of Toyota.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Toyota uses Notion. Confirmed line. Latest check across sources: 2026-10-13.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/toyota-notion · How we check: https://www.usedby.ai/methodology