Side Project2025

CompetitiveIntelligence

AI-powered competitive monitoring for CPG

PythonAI/LLMWeb Scraping

Overview

AI-powered competitive monitoring and intelligence tools for the CPG industry. Automates the gathering and analysis of competitive data.

Key Metrics

CPG
Industry
AI-Powered
Type
Automated
Process

Case Study

The Problem

Manually monitoring competitor pricing, promotions, and activity across CPG requires constant analyst attention and still produces stale intelligence. By the time a competitive move is spotted and analyzed, the window to respond has often closed.

The Approach

1

Built automated scraping pipelines to aggregate publicly available competitive data — pricing, promotions, media activity, product launches

2

Added an AI analysis layer that identifies patterns, anomalies, and emerging competitive trends across the data stream

3

Designed for CPG-specific signals: shelf presence patterns, promotion frequency, media spend proxies, and product line changes

4

Delivered as a monitoring dashboard with automated alerting so teams are notified when something material changes

The Impact

Automated what previously required weeks of manual analyst effort per competitive review cycle

Real-time competitive signals replace quarterly point-in-time snapshots — intelligence is always current

Enables proactive competitive response instead of reactive scrambling after the fact