ShedBoxAI for Competitive Intelligence
Build competitive intelligence pipelines with ShedBoxAI. Track competitors, analyze trends, and generate strategic insights.
Competitive Intelligence Use Cases
Competitor Monitoring
Track competitor activity:
data_sources:
competitor_data:
type: csv
path: "competitor_tracking.csv"
market_data:
type: rest
url: "https://api.marketdata.com/trends"
headers:
Authorization: "Bearer ${MARKET_API_KEY}"
response_path: "data"
ai_interface:
model:
type: rest
url: "https://api.anthropic.com/v1/messages"
method: POST
headers:
x-api-key: "${ANTHROPIC_API_KEY}"
Content-Type: "application/json"
options:
model: "claude-sonnet-4-20250514"
prompts:
analysis:
system: "You are a competitive intelligence analyst."
user_template: |
Analyze competitor activity and market trends:
Competitor Data:
{% for comp in competitor_data %}
- {{ comp.name }}: {{ comp.recent_activity }}
{% endfor %}
Market Trends:
{% for trend in market_data %}
- {{ trend.category }}: {{ trend.direction }}
{% endfor %}
Provide:
- Competitor moves summary
- Market trend analysis
- Strategic recommendations
output:
type: file
path: "competitive_intel.md"
format: json
Pricing Intelligence
Track competitor pricing:
data_sources:
pricing:
type: csv
path: "competitor_pricing.csv"
processing:
advanced_operations:
pricing_by_competitor:
source: "pricing"
group_by: "competitor"
aggregate:
avg_price: "AVG(price)"
min_price: "MIN(price)"
max_price: "MAX(price)"
sort: "avg_price"
ai_interface:
model:
type: rest
url: "https://api.anthropic.com/v1/messages"
method: POST
headers:
x-api-key: "${ANTHROPIC_API_KEY}"
Content-Type: "application/json"
options:
model: "claude-sonnet-4-20250514"
prompts:
pricing_analysis:
system: "You are a pricing strategy analyst."
user_template: |
Analyze competitive pricing:
{% for comp in pricing_by_competitor %}
- {{ comp.competitor }}: Avg ${{ comp.avg_price }}, Range ${{ comp.min_price }}-${{ comp.max_price }}
{% endfor %}
Compare to our pricing and recommend adjustments.
output:
type: file
path: "pricing_analysis.md"
format: json
Market Trend Analysis
Identify market opportunities:
data_sources:
industry_data:
type: csv
path: "industry_trends.csv"
ai_interface:
model:
type: rest
url: "https://api.anthropic.com/v1/messages"
method: POST
headers:
x-api-key: "${ANTHROPIC_API_KEY}"
Content-Type: "application/json"
options:
model: "claude-sonnet-4-20250514"
prompts:
trends:
system: "You are a market research analyst."
user_template: |
Analyze these industry trends:
{% for trend in industry_data %}
- {{ trend.category }}: {{ trend.growth_rate }}% growth, {{ trend.market_size }}
{% endfor %}
Identify:
- Emerging opportunities
- Threats to monitor
- Strategic recommendations
output:
type: file
path: "market_trends.md"
format: json
Why ShedBoxAI for Competitive Intel
| Need | Solution |
|---|---|
| Data aggregation | Multi-source pipelines |
| Pattern recognition | AI analysis |
| Regular updates | Scheduled runs |
| Actionable insights | AI recommendations |
Get Started
pip install shedboxai
shedboxai run intel_pipeline.yaml