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← All case studies REPUTATION MONITOR · Logistics

Hear about it before the market does.

A monitor that finds public mentions of a logistics firm, judges the tone and alerts the team.

Sample runSample data
The work

What it actually looks like.

  1. Trigger Watch public posts Social feeds and news, around the clock.
  2. Step 1 Is it really them? Duplicates removed, other companies with similar names ruled out.
  3. Step 2 Judge the tone The AI rates sentiment and how serious it is.
  4. Result Alert the team Only what matters, straight to their phones.
In action

Four moments from one run.

Snapshots from the sample run above, one for each step. The data is made up; the steps are the real ones.

01 · TriggerWatch public posts
02 · Step 1Is it really them?
03 · Step 2Judge the tone
04 · ResultAlert the team

Before and after the automation.

TaskBeforeAfter
Finding mentionsSomeone searchingWatched continuously
Similar company namesRead one by oneFiltered out
A serious postFound when someone lookedSent to the team as an alert
How it is built

What it runs on.

Connects to
Social feeds
News
Telegram
Runs on
HubCloudflare Workers
Models
A large language model
The benefits

What it gives back.

  • No more searching

    Nobody has to go looking for mentions. The monitor is built to watch public posts around the clock.

  • Earlier warning

    A serious post is designed to reach the team as an alert, so they can respond before it spreads.

  • Less noise

    Look-alike company names are filtered out, so the team should only hear about its own.

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FACE CHECK-IN · Corporate

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