Data alone isn't enough. Drive more accurate insights with custom AI models — without coding.
Many leading brands now rely heavily on artificial intelligence and machine learning to reveal critical insights, fuel data-driven decisions and automate routine processes. AI Studio from Sprinklr helps you create your own AI models, evaluate their accuracy and customise them to meet your teams' needs – without pulling in engineers or data scientists.
of board members view AI as one of the biggest game-changers for customer experience.
Trusted by the world’s biggest brands
"Sprinklr AI Studio really enabled our team to create a unified, one-stop shop for organising and responding to customer questions, and we’re thrilled with the value their listening AI has provided in identifying trends and additional engagement opportunities. Plus the dashboarding feature allows us to elicit actionable insights to improve productivity which help us deliver a better customer experience."
Microsoft Azure Customer Experience Team
Drive meaningful, AI-powered insights with more than 80% accuracy.
Sprinklr’s text classification models empower your teams to categorise messages to match a wide range of use cases – driving critical brand, business and operational insights.
Save time and improve business efficiency by up to 40%.
Sprinklr’s customisable AI models replace labour-intensive manual work, expanding your capacity to analyse messages at scale while saving time and increasing efficiency – which can help boost profitability by an average of 38%.
Leverage an AI experience that's so intuitive your team can actually use it.
AI Studio offers a simple user experience that empowers teams to create text classification models from scratch. It even presents model accuracy metrics across a variety of available data sources before you deploy – so you can strategise, iterate and drive stronger results.
How can customised AI models increase team productivity by up to 40%?
The task of classifying and managing messaging tags from a wide spectrum of digital and social channels is cost-prohibitive, time-consuming and – for more businesses – virtually impossible without artificial intelligence. The solution? Sophisticated, easy-to-customise AI models powered by a unified customer experience management (Unified-CXM) platform.
Sprinklr’s customised text classification models help teams address a wide range of use cases by training AI to automatically categorise up to millions of mentions from more than 30 modern channels – creating a powerful competitive advantage by refining text analytics, prioritising focus, and capturing and revealing the insights needed to make mission-critical decisions.
Take ownership of your AI models with Sprinklr AI Studio.
Connect with the AI experts at Sprinklr to discuss your goals and how you can:
Classify listening mentions for Sprinklr Service more effectively by defining the criteria to automatically remove irrelevant messages from agent work streams – so customer service teams can focus on the cases that require a human touch.
Ensure that your dashboards across the platform – from Sprinklr Insights to Sprinklr Service and Sprinklr Social – are streamlined for accuracy, so you can be confident that your insights on messages and mentions are accurately catalogued and actionable.
Leverage customised results for reporting, engagement and automation use cases across the Sprinklr platform – so customer service agents, brand analysts, programme managers and research administrators can all take full advantage of insights.
Create powerful AI models in just hours.
Elevate your analysis by automatically excluding irrelevant messages, categorising mentions for deeper insights and addressing other text use cases.
Deploy models flexibly through multiple data sources and languages.
AI Studio’s flexible deployment options make it easy to pinpoint which languages and sources you want your AI models to process.
Validate AI models – and improve their accuracy.
Maintain model performance and accuracy as conversations shift over time through dedicated validation and approval workflows.
How one of the world’s leading technology companies leveraged customised AI models to reduce operational effort and achieve over 85% AI model accuracy.
Filtering out irrelevant data with leaner categorisation
Before AI Studio, the brand’s engagement team was routing messages into their issue queues that included terms common to the brand name. This ‘Brand disambiguation’ use case required AI text classification to filter out these irrelevant messages.
Reducing labour-intensive manual work
With AI Studio, the team stopped maintaining keywords, queries and themes, and instead created a customised text classification AI model to automatically filter out irrelevant messages and eliminate the need for manual approvals.
Sharing critical findings with templated executive reports
With AI Studio, the team was able to easily leverage the output of AI models in their executive reports – minimising the time and effort required to access and share actionable insights.
Sprinklr named a leader in The Forrester Wave™: Social Listening Platforms, Q4 2020
Forrester Research evaluated 10 vendors based on 36 criteria – Sprinklr received one of the highest scores in the criteria of data, set-up, performance, supporting services and revenue.
‘Sprinklr good for large companies’
‘Sprinklr makes social media management and tracking metrics easy. At our company, we manage multiple channels across several US states, and each channel has a unique audience and voice.’
– Review on G2
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