Retail & Ecommerce

Dave partnered with Pecan AI to identify high-risk customers before account upgrades and enable more proactive fraud prevention. By incorporating predictive risk scores into its existing workflows, Dave can guide targeted interventions before potential losses occur. With two predictive fraud models, daily risk predictions, and over $300K in potential annual savings identified through model evaluation, Dave is building a more data-driven approach to managing fraud risk.

Predicted LTV over ROAS, uplift-rationed discounts, weekly churn warnings. 10 data-backed shifts for B2C growth teams, plus what to do this quarter.

Zola partnered with Pecan AI to predict customer lifetime value earlier and give marketing teams a more precise way to measure acquisition quality and optimize spend. With 95% LTV prediction accuracy, four predictive models, and automated delivery into its existing BI tools, Zola can compare expected customer value directly with acquisition costs and make better channel investment decisions, without building a dedicated machine learning team.

ALTHERR used Pecan AI to predict which customers were most likely to purchase again, to help sales teams test targeted, proactive outreach. Within eight weeks, customers identified by the predictive model accounted for €2.4M in pipeline opportunities and €246K in closed-won value.

See how retailers use predictive analytics to forecast demand, reduce churn, personalize offers, improve ROAS, optimize pricing, and prevent fraud.

With predictive LTV, weekly order insights, and upsell models, Little Spoon improved ROAS, strengthened its subscription flow, and expanded data-driven decision-making across teams.

Nanit improved sales forecasting accuracy, reduced time to insight, and gained clear visibility into demand drivers using Pecan AI, resulting in stronger trust and better decisions.

Drive your growth with five AI use cases for subscription e-commerce.

ShopTJC Ltd. partnered with Pecan to predict the likelihood of customers making additional purchases, enabling them to optimize shipping costs effectively.