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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

NeedSolution
Data aggregationMulti-source pipelines
Pattern recognitionAI analysis
Regular updatesScheduled runs
Actionable insightsAI recommendations

Get Started

pip install shedboxai
shedboxai run intel_pipeline.yaml

Quick Start Guide →