In a 40-minute live session, industry experts dived into real-world use cases, architectural insights, and future-forward strategies to scale personalization and operationalize intelligence.
Here’s how modern retailers are turning AI into a competitive advantage—across marketing, customer engagement, operations, and loyalty—with real-world examples to bring each capability to life:
Insight-driven creativity: Turning data into direction
One of the biggest challenges for today’s marketers is making sure every piece is on-brand, relevant, and backed by insight.
Traditional performance reporting often lags behind decisions. Marketing teams wait for analysts, dashboards, or weekly reviews—by which time the opportunity has passed.
Valtech’s conversational analytics demo tackled this head-on. Powered by Google’s Conversational Analytics API, it lets marketers ask questions in plain English—“Which campaigns drove the most engagement last week?”—and receive instant, contextual answers. No dashboards, no SQL.
This kind of real-time, conversational intelligence turns analytics into a daily creative partner—fueling quicker, more confident decisions. It represents a broader shift: from “data as reference” to “data as dialogue.”
“Data is most powerful when it's in dialogue, not hidden behind layers of reports.”
— Gabriel Laliberté, Head of Strategy, Retail/CPG, Valtech Americas
AI-powered discovery: Let the experience sell
As customer expectations rise, product discovery must evolve from generic filtering to intuitive guidance. The future isn’t search bars—it’s sales conversations at scale.
“Conversational touchpoints are now part of the journey, not just a support function.”
— Jake Holmquist
Valtech’s AI Concierge transforms commerce by embedding a branded assistant into the buying experience. It understands complex queries, navigates inventory in real time, and even integrates tools like color configurators—all within the conversation.
This is commerce reimagined not around interfaces, but around interaction.
“We’re seeing the rise of concierge-like assistants in retail—natively embedded in every phase of the customer journey.”
— Lars Ahlfors, Sr. Customer Engineer, ML & GenAI, Google