Getting Started with LTprophecy

LTprophecy is a B2B AI-powered revenue intelligence platform. This guide walks you through account setup, organization creation, and running your first forecast in under 10 minutes.

Prerequisites

• A valid business email address
• At least 3 months of historical sales data (CSV or JSON)
• Admin access to your organization (if joining an existing workspace)

Step 1: Create Your Account

1. Navigate to ltprophecy.com/sign-up.
2. Enter your business email and choose a strong password.
3. Verify your email address via the confirmation link.
4. Complete your user profile (name, role, timezone).

Step 2: Create or Join an Organization

LTprophecy is built for teams. All forecast data, models, and API keys are scoped to an organization, ensuring complete tenant isolation.

1. After sign-in, click Create Organization in the sidebar.
2. Enter your company name and select the appropriate plan tier.
3. Invite teammates by entering their email addresses. Roles available:
   • admin — full access including billing and settings
   • member — can train models and create forecasts
   • viewer — read-only access to dashboards

Step 3: Upload Your First Dataset

1. Navigate to Data → Datasets in the sidebar.
2. Click Upload Dataset and select a CSV file.
3. LTprophecy will auto-detect column types. Confirm:
   • The date/time column
   • The target metric (e.g., revenue)
   • Any feature columns (e.g., marketing_spend, region)
4. Click Validate & Save. A quality report will be generated.

Step 4: Train a Model

1. Navigate to Models → Train New Model.
2. Select your dataset and target column.
3. Choose an algorithm preset (Auto-select is recommended for first-time users).
4. Click Start Training. Typical training takes 2–10 minutes depending on dataset size.
5. Monitor progress in real-time via the training run panel.

Step 5: Run Your First Forecast

1. Navigate to Forecasts → New Forecast.
2. Select your trained model and set the forecast horizon (e.g., 90 days).
3. Optionally adjust scenario assumptions.
4. Click Run Forecast. Results appear within seconds for most models.

Next Steps