Upgrading Digital Effectiveness for Retailers
Retailers need to quickly upgrade customer-facing sales and service applications to keep up with digital competitors. simMachine’s machine learning technology enables you to make this a reality, by understanding your customers in an entirely new and revolutionary way. Our machine learning software drives significant performance lift for marketing campaigns, customer lifecycle modeling, supply/demand forecasting, and improving one-to-moment customer experience management.
``We would absolutely find dynamic predictive segmentation useful... It would give us the ability to improve the revenue and profit by customer on a day-to-day basis. It would help us not oversaturate customers with information, so we can send the right message to the right people at the right time.`` - VP of Omnichannel Marketing, Retailer
Capture The Customer Moment With Dynamic Predictive Segmentation, a January 2018 commissioned study conducted by Forrester Consulting on behalf of simMachines
Machine Learning for Retail
simMachines provides marketing, sales forecasting and e-commerce applications for retailers needing to significantly upgrade their agility in forecasting product demand, optimizing inventory, and their relevancy in communicating with customers.
Dynamic Predictive Shopper Segmentation
Customer Opinion Clustering
Customer Lifecycle Predictions
eCommerce Fraud Prevention
Product Demand Predictions
Intelligent Store Communication
Customer Experience Predictions
Sales/Call Center Agent Predictions
See it in action
simMachines supports use cases for retailers spanning marketing and eCommerce fraud detection.