Smart Competitive Intelligence System Using AI
Problem
Organizations often miss critical competitor signals due to fragmented data sources like social media, job portals, and news platforms.
Solution
Our AI agent automates competitor tracking and generates insights such as:
- What changed
- Why it matters
- What actions to take
How Memory Works
The system uses persistent memory storage (vector DB + metadata) to:
- Store competitor history
- Track timelines
- Learn patterns over time
Code Snippet
memory = []
def store_event(event):
memory.append(event)
def get_history():
return memory
store_event("Competitor hired 20 AI engineers")
print(get_history())
Example
The agent notices multiple AI-related hires and predicts:
👉 “Competitor is likely building an AI-driven product.”