Pecan has unveiled its Predictive AI Agent, a revolutionary tool designed to help organizations anticipate future outcomes and take action before it’s too late. This innovation enables business teams to input raw data and ask questions in plain language such as which customers are likely to churn, how demand might shift, or which deals are most likely to close and receive statistically validated, production-ready predictions in minutes, without relying on data science teams.
Unlike traditional analytics tools, Pecan’s agent autonomously handles the entire predictive workflow. It translates business intent into predictive objectives, prepares and validates data, and runs predictions that teams can act on immediately. By interpreting each company’s unique data structure and transforming raw, business-specific data into AI-ready datasets, the agent overcomes a major limitation of previous automation efforts, which often assumed standardized data. Importantly, its output is not just a report or dashboard it provides actionable foresight that can guide business decisions instantly.
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Zohar Bronfman, CEO of Pecan, said: “For years, businesses have invested billions in data platforms, dashboards, and analytics, yet the most critical decisions are still made too late. Customers churn only after disengaging. Demand is recognized only after inventory runs out. Revenue gaps surface when the quarter is already over. Not because companies lack data, but because their systems are fundamentally backward-looking. Modern organizations are built to explain what already happened, not to anticipate what will happen next, even as business cycles accelerate and the cost of late decisions continues to rise.”
Bronfman added: “Companies like OpenAI have made generative AI easy to use for the everyday person and employees at any level. What we’ve done is make the other doctrine of AI just as easy to use. And prediction, knowing what will happen while there’s still time to change it, has always been the missing capability in business. We built Pecan’s Predictive AI Agent to make reliable predictions operational, not theoretical, so companies can act while outcomes are still uncertain, not after they’re inevitable.”
As planning windows shrink, relying on hindsight has become an operational liability. Traditionally, predictive modeling required specialized workflows and data science expertise, keeping most organizations without timely foresight. However, Pecan’s agent shifts decision-making from reactive analysis to proactive action, supporting revenue, retention, and operational strategies.
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Shai Eisenman, CEO of Bubble, shared their experience: “What changed for us was how quickly prediction became usable. We didn’t need to restructure our data or rely on data science resources to get started. Teams could ask real business questions and get reliable predictions they could act on immediately. That shift from explaining what already happened to acting on what’s likely to happen changed how decisions get made across the business.”
Designed specifically for real business data, Pecan combines natural-language accessibility with robust statistical safeguards, reducing risks like overfitting, data leakage, and unreliable models. Predictions integrate seamlessly into existing platforms, including CRMs, data warehouses, and operational systems.
Pecan is already deployed across leading e-commerce, subscription, gaming, fintech, fulfillment, and supply chain organizations, including Nanit, Little Spoon, TJC, SciPlay, ShipNetwork, Frontier Dental Supply, Mars Wrigley, Kenvue, and Moultrie Feeders. With this launch, Pecan aims to make reliable predictive capabilities accessible to all businesses, regardless of size or technical maturity, ensuring that acting on the future is no longer a privilege reserved for a few.
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