Pecan AI

Pecan AI is a predictive analytics copilot that turns raw business data into ready-to-use forecasts—like who will churn, what demand will be, or which leads will convert—using Predictive GenAI and automated ML.
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Core features
Predictive GenAI assistant that takes a natural-language description of what you want to predict and designs the model pipeline for you.
​Automated data prep and feature engineering (joins, aggregations, handling nulls, time windows) without manual ETL.
​Out-of-the-box templates for churn, LTV, upsell/cross-sell, demand forecasting, credit risk, and predictive maintenance.
​Predictive Notebook (SQL-based) that gives analysts full visibility into queries, training data, and model performance.
​Explainable AI with feature importance, scenario testing, and clear performance metrics to guide business decisions.
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Key tools it offers
Predictive Chat: conversational interface to define use cases, refine models, and interpret predictions.
​Predictive Notebook: auto-generated SQL workspace with all queries and data slices required for the model.
​Connectors to data warehouses and cloud platforms (e.g., Snowflake, BigQuery, Redshift, Azure, AWS) for direct data ingestion.
​Pre-built pipelines for operationalizing predictions into CRM, marketing, and BI tools.
​DemandForecast.ai and other specialized modules tailored to verticals like retail, CPG, and fintech.
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Benefits for users
For BI & analytics teams: Go from SQL skills to full predictive modeling without needing Python, notebooks, or MLOps scaffolding.
​For marketing, product & revenue teams: Target high-value customers, reduce churn, optimize pricing and promotions, and forecast demand more accurately.
​For operations & finance: Improve resource planning, inventory, and risk management with data-driven forecasts instead of spreadsheets and gut feel.