the voice of customer experience technology
Front page
NewsCX Intelligence3h · 12:01 BST · 5 min read

Your Decision-Making Strategy is Now on a Timer

AI is becoming the customer journey’s discovery and decision layer. This week’s reports show why CX leaders need real-time, governed data, accurate product information and human escalation paths to turn automation into trusted, competitive experiences at scale.

Your Decision-Making Strategy is Now on a Timer

Across this week’s developments, the CAI market is moving from experimentation towards a more consequential phase: AI is becoming a decision-making and discovery layer across the customer journey, not simply a service channel or marketing add-on. 

This week, I spoke with Jessica Keehn, CMO of SAP CX, to get an insight on its latest Engagement Cloud report, revealing 35% of consumers prefer AI recommendations to advice from friends and family, while 32% regularly use AI to help decide what to buy.    

She notes:  

“People are really looking to help simplify the buying experience and they’re taking AI capabilities to actually reduce the noise and simplify the process of selection.”

For CX leaders, the latest competitive issue is whether their systems can interpret intent, connect the right customer context and take useful action at the exact moment it matters.  

Customers increasingly expect AI to reduce effort, yet they remain quick to withdraw trust when automation lacks accuracy or an accessible human fallback. 

This creates a higher bar for customer intelligence, where data must be unified across service, commerce and marketing; governed appropriately; and available in real time.  

It also has to include signals beyond conventional transactions and text, from browsing behaviour and product data to visual and conversational intent. 

The strongest competitors will use this intelligence to make each interaction feel more relevant, meaning measuring outcomes such as resolution and not simply automation rates.  

As AI begins to influence what customers discover, buy and expect, this week's CX strategy must combine speed with context, and personalization with clear accountability. 

AI is Handling 52% of European CX Interactions, Twilio Reveals

Twilio's latest customer insights report has revealed that AI already handles roughly 52% of customer service interactions in Europe, with businesses expecting that share to reach 60% by 2027.  

The report also sighted a significant confidence gap, that while 84% of European businesses believe customers are satisfied with AI-powered service, only 48% of consumers agree. 

Today, consumers recognise progress in CX, and how organizations are delivering an intelligent experience. 

In fact, 58% say bots have improved over the past year, 81% say they save time, and 27% are now more likely to choose a chatbot over a human.  

However, trust remains conditional, as 53% would not trust AI to initiate a loan application, compared with 51% not trusting it to make a payment or purchase. 

The report shows that customer intelligence must supply the context behind automation, requiring data to be accurate, permissioned, and real-time to resolve issues effectively. 

CX leaders must now focus on measuring resolution quality, customer effort, containment, escalation effectiveness and trust by journey. 

This also includes identifying high-risk decisions and ensuring customer data is unified and governed to give agents the full context when an interaction transfers. 

Optimove Shows Off Early Black Friday Predictions 

As we enter the holiday season, Optimove’s new report has discovered that AI is becoming a mainstream holiday-shopping discovery channel, with 72% of surveyed US consumers use AI assistants for gift ideas or shopping recommendations, at least occasionally.  

Previously Black Friday 2025 statistics delivered a 593% increase in new customers versus the January–October daily average, alongside a 359% rise in returning customers. 

Pini Yakuel, CEO of Optimove, suggests marketers need to identify and respond to these distinct customer needs in real time. 

"Black Friday isn't a retention event or an acquisition event. It's both, happening in the same hours," he said.  

"Loyal customers are coming back, first-time buyers are arriving from AI assistants and everywhere else, and each one needs something different."

During peak trading periods, CX cannot be managed through broad segments or a simple retention-versus-acquisition lens.  

Returning shoppers may be comparing, replenishing or exploring a new category, however first-time buyers may have been referred by an AI assistant and have no established relationship with the brand. 

This requires CX leaders to ensure their data is updated, especially during these key buyer moments, for relevant, personalized experiences. 

"Positionless Marketing gives marketers the power to recognize every shopper and act on real-time data instantly, deciding the right message, offer, and timing while attention is at its peak," he explained. 

Furthermore, ensuring product information, pricing, availability and promotion details to be accurate, structured and current enough is critical for external AI tools to recommend confidently. 

Pinterest Launches AI App Feature to Improve the First Stage of the Journey

This week, Pinterest launched Beauty Guides, an AI feature that converts a hair or nail image into a practical plan, from salon language and expected results to comparable looks, products and at-home steps.  

Available initially to US iOS users, it combines Pinterest’s visual-understanding technology with an LLM for assisted decision-making. 

This news was announced alongside the launch of its 2026 Beauty Trend Report, showing beauty intent is increasingly specific and visual. 

In fact, searches for “polka dot cat eye nails” rose 1,585%, while “mocha balayage hair” climbed 949%. 

Furthermore, 85% of weekly beauty users discover trends there before elsewhere, with the platform now capturing early, high-intent signals before consumers can articulate them in conventional search terms. 

This model reveals the value of joining unstructured visual data with first-party behavioural signals and generative AI, revealing how customers can recognise a desired outcome but cannot describe it accurately to a stylist, retailer or service adviser. 

This reveals that traditional recommendation engines that simply show “more like this” are becoming obsolete, as brands now need systems that explain options, add relevant context and help customers take the next best action. 

To ensure success CX leaders should consider where image, voice and behavioural data could validate AI guidance and preserve transparent source signals, measuring whether guidance improves the journey experience. 

rate this story
helps rank stories across CX Today
The discussion0 takes · attributed & checked

Does this reflect your experience?

opening the room…
Read nextordered by techtelligence · every pick explained
same beat · CX Intelligence

Marketers Have Months Left to Spot Human Intent

8 Oct 2026
matches this topicYour Enterprise May Have a Decision-Making Problem28 Sept 2026same beat · CX IntelligenceTurning Teams Recordings into Conversation Intelligence7 Oct 2026