Providing the best consumer experience hinges entirely on knowing what the individual shopper desires out of the purchase process.
WibiData provides an interface for marketers, merchandisers and analysts to collaborate, customize and test models and rules without interrupting the customer experience or engaging engineering resources.
Retailers can use the platform to conduct machine-learning experiments and create more real-time, individualized customer experiences. Through the experiments, WibiData analyzes current customer information without any data preparation. Overall, the time to modify and implement personalization models can decrease from months to minutes. Users can create intellectual property by customizing models based on their unique data, business needs and training models.
Advertisement
“Digital marketers have been trying to deliver real-time personalized customer experiences for some time now,” said Rob Seaman, VP of Product at WibiData. “But existing commercial and custom-built solutions have fallen short in their attempts to ‘personalize’ customer experiences by using a subset of customer information and ignoring the most recent data — which is actually the most important — in their analyses and predictions. It’s now possible for them to embrace real-time, live experimentation to get to the personalized experiences they covet.”
