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Bat

Automating Competitor Analysis in the Vaping Market with Mammoth

BAT use Mammoth to cut reporting delays by 58%, save 62% in analysis time, and empower teams with self-serve market intelligence.

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Operational Efficiency

58%

Reporting delays
Streamlined across global teams
Time Savings

62%

Validated views
Driven by pipeline automation
User Adoption

70%

Team-driven analytics
Empowered with self-serve tools

About

Company size

Large-sized

Headquarters

United Kingdom

Industry

Consumer Package Goods & Retail

Use Cases

Competitor Analysis Automation, Market Intelligence, Data Standardization

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The Company

About BAT
British American Tobacco (BAT) is a leading global consumer goods company, known for its diverse portfolio of tobacco and nicotine products. Operating in over 180 markets, BAT is committed to delivering innovative products and driving transformation in the industry through digital initiatives.

The Challenge

Streamlining Competitor Analysis in a Dynamic Market
BAT faced challenges in monitoring the rapidly evolving vaping market, with competitor information scattered across various platforms. The manual process of collecting and analyzing data was time-consuming, error-prone, and lacked scalability. There was a need for an automated solution to provide real-time insights and enhance decision-making.

Solution

Implementing Automated Competitor Intelligence
With Mammoth, BAT was able to:
  • Deploy automated scripts to scrape competitor product data across multiple sources
  • Standardize and consolidate disparate datasets into a unified format
  • Generate interactive dashboards for real-time competitor analysis
  • Generate interactive dashboards for real-time competitor analysis

Outcome

Achieving Operational Efficiency
  • Automated daily scanning of over 200 competitor products
  • Generation of more than 400 active alerts annually
  • Elimination of manual data collection processes
  • Empowerment of analysts to independently manage data workflows

The Mammoth Advantage

Why Mammoth?
  • Efficiency: Automated data processes reduced manual workload
  • Scalability: Adaptable solutions accommodated diverse data sources
  • Empowerment: Researchers gained autonomy with self-service tools
  • Visibility: Enhanced transparency across research data management

“Mammoth's platform revolutionized our competitor analysis, providing clarity and efficiency across our market intelligence operations.”

— Market Intelligence Lead, British American Tobacco

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