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.
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.