AI-powered solution to predict SLA breaches, prioritize support tickets, and enhance JIRA workflow efficiency using machine learning.
Automatically converts freeform customer support notes into operational KPIs by extracting issue signals, scoring customer pain, identifying escalation risk, and enabling prioritization.
π€ Streamline JIRA ticket management with AI-driven SLA predictions for improved automation and efficiency in customer support.
Interactive Power BI dashboard analyzing analyst performance, SLA compliance, ticket resolution efficiency, and workload distribution to support data-driven operational decisions.
Apple Support automation scraper
Forecasted support incident volumes using Holt-Winters and SARIMA models to identify seasonality, optimize resource planning, and improve operational readiness.
AI call QA agent for transcript scoring, policy detection, escalation misses, and coaching notes.
Prototype: Raw Slack support threads β structured support intelligence outputs (issue type, summaries, response/resolution metrics)
π Streamline support notes into actionable KPIs, improving operational efficiency and customer satisfaction through structured insights and data-driven decisions.
π Forecast daily support incident volumes to enhance resource planning using advanced time series analysis and reliable forecasting models.
π Analyze and monitor analyst performance with an interactive Power BI dashboard that highlights productivity, SLA compliance, and optimization opportunities.
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