Engage individual customers at every touchpoint with on-brand tailored content and recommendations.
Automate tasks and suggest relevant content so your teams can focus on the bigger picture.
Drive longevity at every stage of the customer journey with personalized experiences at scale.
Remove the guesswork from personalization and let AI take the lead. Our AI Decisioning Engine analyzes customer behavior and preferences to predict the next buying stage, ensuring your team can deliver the right information and the right products at the right time.
Ensure your personalized content is delivered at the right moment on the right channel with AI predictions and automation.
Connect existing data sources and allow the AI engine to continuously learn with every interaction.
Gain transparency and view insights into why certain AI-driven recommendations have been suggested.
Increase ROI with personalization specifically matched to your business. Our AI Decisioning Engine enables you to align your personalization and business strategies based on tailored criteria.
Watch demo videoHighlight specific items and products to include in recommendations to boost interactions and conversions from customers.
Define specific items and products to exclude from recommendations and, therefore, will not be seen by customers.
Identify groups of items and products to boost recommendations to ensure more engagement from customers.
Use data to understand customers and make them feel understood in personalized campaigns, showcasing relevant products and guiding them through the buying journey to drive website traffic.
Create unique and engaging website experiences no matter the device with 1:1 personalization embedded in each touchpoint, increasing purchases, repeat visitors and customer loyalty.
Continuously learn about your customers with real-time data and provide them with fast, efficient and personal service, ensuring re-engagement and loyalty even after needing assitance.
Our AI Decisioning Engine seamlessly integrates with our service and marketing tools to create a unified customer experience and unify data across departments. It effortlessly connects to our Customer Data Platform, Mobile Marketing Cloud and Mobile Service Cloud.
Our Engagement Platform connects our AI Decisioning Engine with our Customer Data Platform, enriching 360-degree customer profiles with tailored recommendations.
Our Engagement Platform integrates our AI Decisioning Engine with our marketing automation platform to generate tailored recommendations and boost marketing campaigns.
Our Engagement Platform integrates our AI Decisioning Engine with our Agent Inbox, showing recommendations right next to customer conversations enabling agents to recommend products.
Through our partnership, we at Sligro delivered 30 million personalized promotions, achieved a 5% increase in conversion rates, and saw an 11% rise in location visits, significantly advancing our mission to support food professionals in the hospitality industry.
Sligro
There are many factors that influence the trip you are looking for, such as the travel group and the length of the trip. With the AI Decisioning Engine, we were able to offer a relevant and personalized offer to each customer selected from the large selection from across the travel group.
Mike de Block, CEO Bookit
The AI Decisioning Engine of CM.com provided Corendon with a predictive solution for a personalized approach for almost every aspect in marketing communications. More traditional channels such as print and telephone are also benefiting from these accurate predictions.
Ed Rice, Head of Commercial
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Step-by-step explanations of key features and benefits.
The holiday season is almost here, and it comes with the perfect opportunity to connect with customers in a personal and meaningful way. Messaging channels like WhatsApp, RCS, and SMS can help you create an unforgettable customer experience this Christmas. In this blog, you’ll discover how these channels can boost satisfaction and drive sales during the busiest time of the year.
More and more companies are rolling out AI agents that go far beyond generating content or answering simple questions. They handle customer requests, update systems, trigger workflows, and even complete transactions. This brings speed, efficiency, and relief from manual, repetitive work. But once AI starts doing instead of merely assisting, something fundamental shifts. You need more than clever technology. You need a clear way to stay in control of what it does, why it does it, and the limits within which it can operate. This is where AI governance comes in. Not as a tick-box compliance layer, but as a practical foundation that keeps AI predictable, explainable, and safe as it becomes more autonomous.
Black Friday is a huge shopping event, drawing crowds of eager shoppers hunting for deals. But once the rush fades, the real challenge begins: turning one-time shoppers into returning customers. Customer retention is vital for long-term success, and the period after Black Friday is the ideal moment to turn short-term excitement into lasting relationships. In this blog, you’ll learn how to keep customers engaged and coming back long after the rush is over.
Imagine customer inquiries being answered 24/7 without wait times, automatic updates on delayed orders, or fully digital shopping assistants guiding customers from browsing to purchase. These are just a few examples of what Agentic AI can achieve. In this article, CM.com’s Marketing Lead AI & SaaS, Sander Harryvan, and Product Marketer, Tom Faas, share their insights on where businesses currently stand in adopting Agentic AI, what the next phase looks like, and why Agentic AI will have a profound impact on the way we do business in the coming years.
Artificial Intelligence (AI) has been in development for decades, but the way we use it today has changed dramatically. With the advent of ChatGPT and other applications, AI has suddenly become tangible for the general public. While it was previously used primarily for specific, often invisible applications (think fraud detection in banking or predictive maintenance in industry), it now actively assists in content creation, enhancing customer experiences, and streamlining processes. Within customer experience, three forms of AI are particularly relevant: generative, agentic, and predictive AI. In this article, we’ll break them down and explain how to leverage them effectively.
The insurance industry is known for its complex processes and heavy administrative load. Fragmented communication, outdated systems, and complicated policy conditions mean that finding the right information or processing changes often takes far longer than it should. AI agents can change that. They answer questions, pull real-time data from internal systems, and seamlessly trigger processes.
In today’s competitive global real estate market, agencies are flooded with inquiries on listed properties. Buyers expect instant answers about availability, pricing, and next steps — often outside office hours. For real estate agents, this creates a heavy workload: handling repetitive questions, scheduling viewings, and informing disappointed buyers when a property is already sold or oversubscribed. Without automation and smart workflows, agencies risk being overwhelmed, leading to frustrated buyers and missed opportunities for meaningful interactions. HALO, CM.com’s AI-powered engagement platform, helps real estate companies streamline these processes. AI agents work 24/7, provide human-like responses, and handle routine tasks instantly. This frees agents to focus on what matters most: building relationships and guiding serious buyers through the transaction.
The live events industry - from sports matches to festivals and concerts - is under pressure. Fans demand more, technology evolves constantly, and internal teams are stretched thin. In this shifting landscape, AI agents aren't here to replace people, but to amplify them - bringing structure, speed, and clarity where it's needed most.
AI agents aren’t just shaping the future they’re transforming how companies serve and connect with their customers right now. From answering service requests instantly, to guiding shoppers through a purchase, to spotting upsell opportunities in real time, the question is no longer if you should implement AI, but how quickly you can put it to work.
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