Optimize for your industry and objective
After only a few hours contributed time, a retailer with multiple brands saw an effective upsell model built from raw sales and customer data.
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.
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.
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.
A top tier supplier of custom radio frequency (RF) components, saw a fully trained demand forecast model in 14 days.
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.
A direct-to-consumer food and beverage service was experiencing unexpected customer churn for its subscription-based beverage program.