Skip to content
Try free
BAT logoConsumer Goods & Retail

Competitor intelligence on 200+ vaping products, scanned daily

Competitor data sat across six or more retailer listings and distributor feeds, collected by hand. By the time a price change was logged, days had passed. Automated pipelines now scan every source daily.

200+
products scanned daily
400+
alerts a year
62%
analysis time saved

The workflow

What replaced the manual work

  • Retailer listings
  • Distributor feeds
One pipeline
  • Connect
  • Clean
  • Automate
  • Share

Recorded once, re-run on a schedule.

  • 200+ products scanned daily
  • Over 400 alerts a year

Outcomes

What changed

  • Detection moved from days to hours on competitor pricing and launches
  • 200+ products monitored every day across more than 180 markets
  • Over 400 alerts generated annually without manual collection
  • Analysts own and update the intelligence pipeline with no engineering involved

What they used

The parts of Mammoth involved

  • Data Engine
  • Scheduled refresh
  • Automated validation
  • Alerting

More case studies

Starbucks · 20 days → hours20 days of report assembly, down to hours — across 17 countriesRethinkFirst · 10x50+ hours a month saved, and new analysts productive in under two weeksMUFG · 19KYC standardised across 19 countries, and a week of Excel became 20 minutes

Start with one source and one question.

That's how this deployment began too. Twenty minutes on the free plan is a fair test.

Try freeBook a demo
  • 21-day Pro trial
  • No credit card
  • Viewers always free