AI AGENTS

Weekly Competitor Price Trend Report to Leadership

An agent collects the week's competitor prices, loads them into BigQuery, analyzes week-over-week movement per category, and emails leadership a narrative trend report.

CategoryAI Agents
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionAgent captures current competitor pricesBrowserbase
  • ActionLoad observations into BigQuery price historyGoogle BigQueryBigQuery
  • LogicQuery week-over-week deltas, averages, and outliersGoogle BigQueryBigQuery
  • ActionAgent drafts narrative trend summary
  • OutputEmail trend report to leadershipGmailGmail

What it does

Produces an executive-level read on competitive price movement over time. The agent sweeps competitor storefronts, lands the observations in BigQuery alongside prior weeks, then runs aggregate analysis to surface which categories rivals raised or cut, average gap versus your catalog, and notable outliers. It writes a plain-language summary and emails it to stakeholders.

When to use it

Use it for a weekly or monthly leadership cadence where decision-makers want trends and direction rather than per-SKU noise. Pairs well with a separate real-time alerting flow handling the urgent cases.

How it works

  1. 1A weekly schedule triggers the report.
  2. 2The agent browses the competitor catalog and captures current prices.
  3. 3Observations are loaded into a BigQuery price-history table.
  4. 4A logic step queries BigQuery for week-over-week deltas, category averages, and outliers.
  5. 5The agent drafts a narrative summary highlighting the most material shifts and what they imply for your positioning.
  6. 6The report is emailed to the leadership distribution list via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BrowserbaseHeadless browsers, sessions, replays.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect GmailRead, draft, send, label.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.