By leveraging advanced Natural Language Understanding (NLU) and deep contextual awareness, they can process complex queries from different business teams, decode intent, and uncover hidden business challenges—whether in customer engagement, revenue growth, churn reduction, or product optimisation.
Trained on trillions of real-world data points, they dynamically develop their own reasoning by analysing all possible data. It does not just retrieve answers; it derives insights, forms strategic interpretations, and anticipates future outcomes to enable proactive decision-making.
Niya-X moves beyond recommendations—it is built to autonomously create and execute workflows to solve business problems at hand. Whether it’s personalising digital onboarding journeys, optimising campaign performance, or automating customer issue resolution workflows, Niya-X executes decisions with precision, speed, and contextual intelligence, reducing the need for manual interventions.
Unlike static AI models, Niya-X is powered by a Federated Learning Engine that continuously refines its intelligence. Trained on trillions of real-world data points, it dynamically adjusts its reasoning to market shifts, customer behavior changes, and evolving business goals. It adapts and improves its workflows to get better results.
Create new product bundles, handle product inquiries, discover GTM segments, suggest price adjustments, do sales forecasts, optimise existing catalog, etc.
Identify user persona, personalise onboarding, recommend content, set and track journey milestones, run digital campaigns, etc.
Discover upsell/ cross-sell opportunities, create segments, suggest offers/messages, design and execute multi-channel campaigns, optimise conversions, etc.
Predict churn, do root cause analysis, create churn segments, suggest retention offers, optimise win-back programs, etc.
Predict context/issue, do smart routing, map resolution channel and agents, guide on resolving issues, prepare interaction summaries, etc.
Explain product features, guide users on how to do tasks on NEON-dX, raise support requests, share best practices, etc.