Understanding the customer journey is all about analyzing more data, faster.
Many marketers try to “skip ahead” to a single view of the customer, but there is tremendous value to be gained simply by making data more accessible.
Pluto7 AI-driven solutions help marketers get more access to customer data and spot meaningful trends in purchase behavior.
Marketing ML™ help marketing team deploy scalable AI-driven solutions for dynamic segmentation, product recommendation, and much more.
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Sentiment ML leverages AI to quickly analyze your customers’ reviews, interactions across your online channels.
Marketing teams can elevate the customer experience and optimize campaigns based on real customer feedback
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Value Chain ML is a comprehensive solution that is built on Google Cloud Platform. It intelligently connects unrelated functions of business, starting from procurement to production, and from marketing to after-sales services.
Read morePluto7 Solutions analyze your customer interactions at scale. Delivering a seamless customer experience across all channels is possible with our AI-driven marketing solutions.
Get more access to customer data and spot meaningful trends in purchase behavior to inform decision-making.
Deliver tangible value across all your channels. Understanding how your customers feel about your products is key when it comes to optimizing your customer journey.
Activate your customized AI-driven solutions on Google Cloud. Pluto7 solutions can be deployed in one click.
Also, our team will provide personalized support and services during this phase.
Migrate and deploy your entire ML applications and AI strategy. At this point, you can kick-off your business transformation journey and start getting tangible, real results.
“With Google Cloud Platform, we can now get data from many more channels, so we can help ensure the best omni-channel customer experiences. We’re also getting much more granular data, which means we can better understand a customer through their entire journey with us.”
"Marketing data silos were a reality for us. Being able to take all of that information and put it in one place so that we can run machine learning models to get deeper insights was a really big important step for us".
