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Case Study: Commerce website doubled conversion rate with upsell model
After only a few hours contributed time, a retailer with multiple brands saw an effective upsell model built from raw sales and customer data.
Case Study: Mobile game maker keeps big spenders engaged
A mobile game maker wanted to increase player engagement. By using Pecan, they were able to cut the player churn rate in half with models built in a matter of days.
Industry: CPG
When patterns of supply and demand keep changing, traditional data-driven decision making can fail to stack up. With predictive analytics, CPG manufacturers and retailers can stay at pace with new customers while retaining existing ones.
Industry: Retail & Ecommerce
To achieve success in a highly dynamic market, ecommerce businesses must be able to stay one step ahead of their customers—by predicting their behavior and interests in advance.
Industry: Direct-to-consumer
Direct-to-consumer products are booming. But as incumbent brands adopt subscription models for product lines, DTC companies need to stay laser-focused on the immediate future with predictive analytics.
Industry: eLearning
eLearning companies are disruptive by design. But in disrupting education and training, clear obstacles like the course completon gap and new membership and subscription models require a forward-thinking analytics strategy to master.
Case Study: Fast fashion retailer cut overstock by 50%
A multinational fast-fashion clothing company needed granular sales forecasting—by day, by store. With Pecan’s models, they saw a reduction of up to 50% in overstock amounts, leading to 10-25% more sales.
Case Study: Grocery delivery app saw 10x faster time to market
A grocery delivery app with over 12,000 suppliers was struggling to deploy data science. By using Pecan, they turned raw sales and inventory data into an effective demand forecast model in days instead of months.
Case Study: High tech manufacturer forecasts demand for specialized products
A top tier supplier of custom radio frequency (RF) components, saw a fully trained demand forecast model in 14 days.
Case Study: Auto insurance company reduces overstaffing by 20%
With Pecan’s AI, a 2 million+ member automobile association was able to create a smart staffing management tool and predict customer assistance inquiries in advance.
Case Study: Global direct-to-consumer slashes membership churn
A direct-to-consumer food and beverage service was experiencing unexpected customer churn for its subscription-based beverage program.
Industry: Gaming & Mobile Apps
The mobile app is perhaps the most critical use case for getting predictive right. When a company’s future hinges on what happens in the first 90 days after user acquisition, descriptive analytics can be ineffective.