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Cactus AI

Your AI Market Intelligence Team

Working together to answer questions, explain change, simulate decisions, and predict what comes next. Cactus AI is an agentic intelligence layer built into Cactus Market Intelligence — instead of searching through dashboards, users simply ask a business question, and Cactus AI orchestrates a team of specialized AI agents to deliver answers, insights, recommendations, and forecasts.

Each agent has a distinct role, but they work together using a shared semantic model and trusted business data, ensuring every response is grounded in consistent, governed analytics.

Why it matters

Traditional BI tells you what happened. Cactus AI tells you what to do

Cactus AI transforms market intelligence from passive reporting into an interactive decision intelligence experience — answering the four questions that actually drive commercial action.

  1. 01

    What happened

    Surface the numbers and trends across every module.

  2. 02

    Why it happened

    Explain the drivers, competitive moves, and root causes.

  3. 03

    What could happen next

    Forecast outcomes from market signals and seasonality.

  4. 04

    What you should do

    Recommend the commercial actions worth taking now.

Cactus AI
Visualization Mode

Show me market share trend for the last 52 weeks by manufacturer

Market Share Trend: Last 52 Weeks by Manufacturer

  • Goal: Compare apparel market share across leading manufacturers over the latest 52 weeks.
  • Key insight: Nike leads named manufacturers at 18.8%, followed by Adidas at 13.6% and VF Corp at 10.2%; the remaining market is distributed across a long tail of apparel manufacturers.
Visualization
Chart Data table
Market share (%)Apparel · Latest 52 weeks
0%10%20%30%31.4%Others18.8%Nike13.6%Adidas10.2%VF Corp7.8%PVH6.4%Levi Strauss5.1%Ralph Lauren4%Under Armour2.7%Columbia
VisualizationInsightScenario PlanningSoonPrediction & ForecastingSoon
The Cactus AI agent team

Four specialists, one shared semantic model

Each agent owns a distinct part of the decision workflow — and every answer is grounded in the same governed business data.

Available

Analytics Agent

Ask questions. Explore your data. Visualize answers.

Your conversational BI analyst. Ask a question in natural language and the agent retrieves the relevant data, generates charts, filters information, and builds visualizations.

Example questions

  • Show market share trends for the last 52 weeks.
  • Compare Walmart and Target performance.
  • Which SKUs grew the fastest this month?
  • Show sales by retailer and region.

Capabilities

Natural language queriesInteractive dashboardsAutomatic chart generationDrill-down analysisDynamic filteringCross-module analyticsExecutive KPI summaries
Available

Insight Agent

Explain what changed — and why.

Continuously analyzes market data to identify meaningful changes, emerging trends, competitive movement, and hidden opportunities — with business context and commercial recommendations.

Example questions

  • Why did our market share decline?
  • Which competitors gained the most share?
  • What caused Walmart sales to slow?
  • Which promotions delivered the highest ROI?

Capabilities

Root cause analysisTrend detectionCompetitive intelligenceDriver analysisAI-generated executive summariesCommercial recommendationsRisk & opportunity identification
Coming soon

Scenario Planning Agent

Explore decisions before committing to them.

Lets commercial teams test strategies in a safe environment before taking action. Modify assumptions and immediately understand the potential business impact.

Example questions

  • What if we increase promotions by 10%?
  • What if Amazon pricing decreases by 5%?
  • What if we expand distribution into another retailer?
  • What happens if a competitor launches a new product?

Capabilities

What-if analysisBusiness simulationsSensitivity analysisCommercial impact modelingDecision comparisonOpportunity & risk evaluationAI-generated recommendations
Coming soon

Prediction Agent

Anticipate what happens next.

Combines historical performance with market signals, retailer activity, seasonality, promotions, and external intelligence to forecast future outcomes — so teams can prepare, not react.

Example questions

  • Forecast next quarter's sales.
  • Predict category growth for the holiday season.
  • Which products are likely to lose momentum?
  • Estimate the impact of competitor promotions.

Capabilities

Sales forecastingMarket share predictionDemand forecastingProduct performance predictionPromotion effectiveness forecastingRetailer performance forecastingEarly warning alerts
One conversation. Four specialists.

Every question is routed to the right combination of agents

“Why did Amazon sales decline, what happens if we increase advertising by 15%, and what do you predict for next quarter?”

  • Analytics Agent

    Retrieves the data behind Amazon's sales decline.

  • Insight Agent

    Identifies the underlying drivers of the change.

  • Scenario Planning Agent

    Evaluates a 15% increase in advertising spend.

  • Prediction Agent

    Forecasts the likely outcome for next quarter.

Each specialist agent handles the job it does best, working together to deliver a complete answer.

Benefits

From passive reporting to active decision intelligence

  • Ask questions in plain English
  • Instantly generate charts and visualizations
  • Understand why performance changed
  • Discover opportunities before competitors
  • Simulate commercial decisions before acting
  • Forecast future market performance
  • Receive AI-generated executive recommendations
  • Eliminate manual analysis and report creation
  • Make faster, more confident business decisions

Meet your AI Market Intelligence team

See how Cactus AI answers questions, explains change, simulates decisions, and predicts what comes next — all grounded in your governed data.

Book a live demo