AI AGENTS

Competitor Stockout Opportunity Monitor

An agent watches competitor product pages for out-of-stock states, and when a rival sells out of an item you carry.

CategoryAI Agents
EngineSim + Paperclip
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFrequent availability-check schedule
  • ActionRead watched SKUs and competitor mapping from NotionNotionNotion
  • ActionAgent reads competitor in-stock / out-of-stock stateBrowserbase
  • LogicFind SKUs where rivals are out of stock and you have inventory
  • ActionLog opportunity to Notion with suggested increaseNotionNotion
  • OutputPost prioritized price-raise opportunities to SlackSlack

What it does

Hunts for pricing opportunities created by competitor stockouts rather than price changes. The agent checks each tracked competitor page for availability, and when a rival goes out of stock on a product you have in inventory, it treats that as a window to capture margin. It records the opportunity in a Notion database and proposes a measured price increase in Slack, scaled to how many competitors are now unavailable.

When to use it

Use it when demand shifts to you as competitors run dry and you want to capitalize before they restock, common with constrained inventory or seasonal spikes.

How it works

  1. 1A frequent schedule triggers availability checks.
  2. 2The agent reads the watched SKUs and competitor mapping from Notion.
  3. 3Browserbase loads each competitor page and reads the in-stock or out-of-stock state.
  4. 4A logic step finds SKUs where one or more competitors are now out of stock while you hold inventory.
  5. 5The agent logs each opportunity to Notion with competitor-availability count and a suggested increase.
  6. 6Slack receives a prioritized list of price-raise opportunities.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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