# How MBTA uses Fairmarkit

**$100K**: “an average monthly savings of over $100K per month for the organization”

As published on [fairmarkit.com](https://www.fairmarkit.com/case-studies/mbta). Captured by usedby on 2026-10-07.

- Company: [MBTA](https://www.usedby.ai/companies/mbta.md)
- Tool: [Fairmarkit](https://www.usedby.ai/tools/fairmarkit.md)
- Customer since (as the page says): Since the engagement began in 2017

## What the story says

The MBTA uses Fairmarkit to digitize tail spend sourcing, replacing a manual paper-based process. Buyers send RFQs to multiple vendors automatically, compare bids side by side, and award requisitions while keeping bid data in the platform.

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

> Since the engagement began in 2017, the MBTA has received over 36,000 bids on over 14,000 RFQs through the platform, saving almost $1,000 per RFQ. These bids have resulted in an average monthly savings of over $100K per month for the organization

- **$10M**: “with a total cost avoidance of $10M dollars since implementation”
- **36,000**: “the MBTA has received over 36,000 bids on over 14,000 RFQs through the platform”
- **$1,000**: “saving almost $1,000 per RFQ”

> Fairmarkit gives our buyers the tools they need to make responsible, informed decisions, based on a detailed history of purchasing information...I paid for the system in the first month, just with that functionality of making a public platform that stores how much people are quoting or bidding on my system is worth its weight in gold
>
> Nick Easley, Chief Transformation Officer of the MBTA

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $100K is printed word for word on the page, near the name of MBTA.
- Checked: the passage quoted above is copied word for word from the page, near the name of MBTA.
- Checked: MBTA uses Fairmarkit. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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