Syntasa is excited to announce the Tech Preview launch of our latest out-of-the-box (OOB) Customer AI model, Cart Abandonment Risk Identification, which is designed to help retailers detect when a shopper is likely to abandon their cart and act before the sale is lost.
It is a well-known statistic that cart abandonment rates in retail are quite high, averaging around 70-80% depending on industry. This means only about 3 in 10 visitors complete their purchase, representing billions in lost revenue. Syntasa’s newest model in its Customer AI suite starts analyzing behavioral, transactional, and contextual signals in real-time to predict abandonment risk – before the customer has added any products to their cart. Retailers can use these predictions to trigger in-session actions, from a range of dynamic offers, to personalize messaging that keeps customers engaged and moving toward checkout.
Part of the Syntasa Customer AI Suite
This newest model is part of Syntasa’s AI module, a core part of our Composable CDP that delivers:
- Out-of-the-box models – like On-the-fence detection, Category affinity and Price Preference detection
- Prebuilt Templates — Ready-to-use model templates for common use cases that can be calibrated to your business in as little as 1–2 weeks.
- Do It Yourself (DIY) AI — Provides your data science team with full access to your unified online + offline dataset in your warehouse for custom model building in your preferred ML stack.
- Generative AI — Secure, cloud-native GenAI capabilities that keep your customer data private while unlocking new personalization and analysis opportunities.
From the moment a visitor lands on your site to years after their first purchase, Syntasa’s Customer AI is built to predict, personalize, and perform at every stage of the customer lifecycle. The Cart Abandonment model joins other proven OOB templates such as Purchase Propensity, Product Recommendations, and Customer Reactivation Likelihood, giving retailers fast access to enterprise-tested models without the heavy lift.
Availability
The Cart Abandonment Risk Identification model is in tech preview with select customers today, and will be released more broadly soon.