Pecan AI Unveils New Co-pilot for Predictive Modelling
Pecan’s co-pilot supports businesses of all sizes by simplifying predictive analytics and unlocking actionable insights.
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Pecan AI, a provider of predictive analytics, has unveiled its new co-pilot for Predictive Modelling, designed to enable organisations to harness predictive analytics without reliance on data scientists.
The platform enables business intelligence (BI) analysts to independently train machine learning models and deliver predictive insights, marking a significant step in democratising AI for businesses of all sizes.
“With our predictive modelling co-pilot, we address key challenges such as simplifying complex workflows and enabling seamless adoption of predictive analytics- a first of its kind,” said Zohar Bronfman, CEO and Co-Founder of Pecan.
“This enables every BI team to independently predict outcomes like customer churn, conversion, demand forecasting, and lead scoring, enabling organisations to see tangible returns on their data investments.”
Pecan’s predictive co-pilot simplifies complex datasets by providing users with tools to extract meaningful trends and insights, enabling actionable decision-making. It uses intuitive, conversational AI to help users without data science backgrounds refine data, explore trends, and train predictive models—all within one streamlined platform.
Real-World Impact: Predictive Analytics in Action
The predictive co-pilot is already delivering measurable value for companies looking to make better use of their data. One example is Little Spoon, a direct-to-consumer food delivery service, which turned to Pecan to address challenges in predicting customer lifetime value (LTV) and improving retention without the resources of a dedicated data science team.
Using Pecan’s platform, Little Spoon achieved significant outcomes:
- Refined Marketing Efforts: Predictive models helped identify the most effective marketing channels, optimising budget allocation.
- Enhanced Customer Retention: Order likelihood predictions supported targeted strategies to reduce churn.
- Company-Wide Adoption: The platform’s ease of use encouraged teams across functions to explore data-driven solutions.
“Predictive analytics has been key to scaling our efforts, and Pecan made it achievable for our team without additional technical expertise,“ said Adam Smith, Director of Strategic Analytics at Little Spoon.
This example illustrates how Pecan’s co-pilot supports businesses of all sizes by simplifying predictive analytics and unlocking actionable insights.
