Popularity has launched a serious improve to its platform, marking a shift towards AI-native infrastructure geared toward remodeling how companies seize and act on shopper sentiment in real-time.
The re-engineered platform combine new intelligence engine capabilities that may analyse disparate knowledge streams in an effort to transform buyer suggestions into actionable insights.
By embedding superior AI into its core, Popularity says the platform is now geared up to assist manufacturers navigate an more and more complicated and feedback-driven market with larger agility and precision.
“We’ve spent the final two years making ready for the seismic shift AI is now bringing to each business,” mentioned Joe Burton, CEO of Popularity.
“We’re ushering in an period of AI-powered status administration – one the place workflows are automated and companies can higher perceive and act on buyer sentiment in real-time. This next-gen engine, knowledge lake, and processing hub is on the core of how we’re remodeling the best way companies handle their manufacturers.”
A key improve to the platform is its expanded intelligence community, which now pulls from a wider array of high-impact knowledge sources – together with Yelp, a platform utilized by 76 million individuals each month looking for evaluations and enterprise suggestions.
“The way forward for status administration is proactive, predictive, and powered by real-time intelligence,” mentioned Shantanu Sarkar, Popularity’s chief expertise officer. “Most platforms are attempting to retrofit AI into outdated programs. We rebuilt our basis with clear knowledge, clever tagging, and a brand new structure designed for contemporary LLMs and vector databases.
“To actually lead with AI, you want infrastructure that delivers real-time insights, adapts at scale, and places intelligence straight into the palms of decision-makers. This new platform will do exactly that.”
Popularity mentioned the totally AI-native structure has additionally been constructed to scale with future fast-moving market shifts
Deliberate updates will embrace predictive sentiment evaluation, AI-powered aggressive benchmarking, and a pure language interface to make refined analytics accessible to frontline groups.
Talking on the Could 15 London launch of Popularity’s next-generation platform, CEO Joe Burton and EMEA managing director Anthony Gaskell underlined each the challenges and transformative potential of AI’s superior capabilities to chop by way of the rising noise of shopper suggestions and sentiment throughout an more and more fragmented vary of digital channels.
Gaskell pointed to the growing complexity of buyer suggestions channels as each a problem and a possibility. “There’s extra noise within the system than ever,” he mentioned, citing the proliferation of latest digital platforms and the rising quantity of user-generated content material.
“It’s tougher for companies to pay attention. However individuals nonetheless wish to be heard – and their voices nonetheless form status.”
Referencing latest business knowledge, Gaskell famous that 15% of Google searches are fully new, typically extremely particular.
“Customers know precisely what they need. However they’re additionally nonetheless asking their neighbour, their good friend, or checking evaluations earlier than they decide. It’s a paradox: we stay in a hyper-personalised world, however belief nonetheless depends upon phrase of mouth.”
He warned towards shallow implementations of AI in response to those pressures. “There’s a number of ‘lipstick AI’ on the market – seems good, nevertheless it doesn’t clear up something,” he mentioned. “This isn’t about floor gloss. It’s about deep worth.”
Burton, commenting on the brand new capabilities of the platform mentioned. “We’re not layering AI on prime of what we already had,” he mentioned. “We’ve rebuilt the platform from the bottom up with AI on the core – not for the sake of hype, however to assist our purchasers make higher selections.”
“We’re right here to assist prospects make sense of the chaos – pay attention higher, act smarter, and construct belief when it’s briefly provide.”
As AI turns into more and more built-in into the shopper expertise, Burton mentioned companies can now not afford to deal with AI as an add-on.
“The businesses that win would be the ones that use AI to drive significant transformation,” Burton mentioned. “Not simply quicker. However smarter, fairer and higher.”
