Machine Learning and AI in Retail

Understand the long-term value of your customers to make better-informed, short-term decisions on which customers to prioritize.

Predict the likelihood that a vendor invoice is fraudulent.

Forecast the volume of inbound shipments required over the next month to allocate the right levels of staffing.

Maximize the productivity of your sellers by predicting the performance of each seller throughout the determined selling period.

Demand forecasting / sales forecasting with AI/ML helps reduce overstocks and out of stocks, helping you optimize your supply chain and working capital.

Foresee and mitigate potential disruptions to your supply chain by predicting whether shipments will arrive on time.

Develop intimacy across your customer base by predicting which customers are likely to churn within a defined period of time.

Predict the likelihood of response to catalogs on a seasonal basis.

Offer products that customers are most likely to purchase to maximize cross-sell and up-sell opportunities.

Forecasting the demand of to-be-launched products enables retailers to optimize inventory, logistics, and working capital, and be better prepared to serve their customers.

Remove products predicted to perform poorly to leave a more targeted assortment for your customers.

Machine learning duplicate detection is key to cleaning up your customer records.

Are you using AI and machine learning to reduce customer churn? Gain control of your customer churn analytics and improve customer retention.

Use machine learning and AI to target the right leads, the right way. Improve your direct marketing efforts with DataRobot.