Retail & Ecommerce

Discover 5 AI in retail examples that will delight your shoppers. Boost sales, enhance customer experiences, and increase customer loyalty.

With internal data science teams fully engaged with other company projects, this app maker had difficulty building and maintaining an effective demand forecasting model. With Pecan, they transformed their raw sales and inventory data into a powerful, accurate model in just days instead of months.

Predictive analytics recognizes complex patterns in customer data that predict conversions for this customer.

Predictive analytics transforms retail and e-commerce business. Boost sales, personalize customer experiences, and stay ahead of market trends.

Predictive analytics in retail can optimize inventory, increase sales, and enhance customer retention. Tips, issues to address, and examples.

Retail and e-commerce companies are solving challenges posed by economic conditions and constant shifts in omnichannel consumer behavior.

Today’s CX issues have their roots in logistics and planning. Predictive analytics can transform your strategies and resource allocation.