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.
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.
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.