The five DataHawk modules — Alerts, Insights, Sherlock, AI Copywriter, and MCP — each solve a different piece of the puzzle. Used together, they create a full workflow from "something changed" to "I've fixed it."
Scenario 1: Conversion rate drops on a key ASIN
A common Monday-morning problem.
- Insights flags a conversion rate drop on ASIN B0XXXXXX in your Findings or Anomalies list
- Alerts confirms the Buy Box was lost two days ago — the alert email arrived Sunday morning
- Sherlock diagnoses the root cause: a competitor undercut your price by 8%
- MCP lets you ask Claude to draft a Slack update for your team, with the latest numbers pulled live
Time saved: what used to be a half-day of manual digging now takes about 20 minutes.
Scenario 2: Catching an inventory risk before it costs sales
- Alerts notifies you when a tracked ASIN drops below 30 days of cover
- Insights flags any anomaly in units-sold velocity — useful when demand is rising faster than your last forecast assumed
- Sherlock answers "is my stock health good across the catalogue?" in plain English, prioritised by impact
- MCP wires this into n8n or Make to trigger a daily Slack digest in your inventory channel
Scenario 3: Weekly performance review
A weekly habit that ties everything together.
- MCP pulls a fresh executive summary into Claude or ChatGPT every Monday morning — revenue, ACOS, top movers, biggest drops
- Insights has the week's Findings ready to review (top-performing ad campaigns, listings that need refreshing)
- Sherlock is on hand for any "why did this happen?" follow-ups
- AI Copywriter helps you action listing changes before the week starts