Provectus Launches Crystal Engine For Personalisation
Provectus, an artificial intelligence (AI) consultancy, has launched Crystal Engine to provide customer behaviour prediction and personalisation. The product is now in closed beta. Crystal Engine analyses customer-related data and serves a suite of use-cases, including the following: Customer churn prediction; Personalised recommendations; Next-best action; Conversion rate optimisation; Customer engagement prediction; and Customer journey insights. […]
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Provectus, an artificial intelligence (AI) consultancy, has launched Crystal Engine to provide customer behaviour prediction and personalisation. The product is now in closed beta.
Crystal Engine analyses customer-related data and serves a suite of use-cases, including the following:
- Customer churn prediction;
- Personalised recommendations;
- Next-best action;
- Conversion rate optimisation;
- Customer engagement prediction; and
- Customer journey insights.
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Crystal Engine is available in a self-service mode (for prediction use cases only), or it can be customised and deployed in clients’ cloud environments.
“Finding the right balance between versatility and flexibility of an AI solution is always a challenge. We strive to bring maximum value to our partners, so we created Crystal as a perfect fit to address two needs at the same time: minimising time to market and meeting flexibility requirements for each particular business and product we work with. Our partners can benefit by gaining maximum accuracy of [machine learning] models while preserving ownership and security of their data and maintaining low,” said Stepan Pushkarev, CEO of Provectus.
