UI/UX Design Engineering Background

Data Copilot – Your AI-Driven Data Intelligence Partner

Turning Data into Decisions with Natural Language Intelligence

Data Copilot brings a conversational intelligence layer across your enterprise data landscape, enabling teams to explore insights naturally and intuitively.

Data Copilot is Edvensoft’s AI-powered Data Intelligence accelerator, designed to empower business and operations teams to derive insights instantly through conversational analytics. Built on LLMs and cognitive data models, it transforms how enterprises explore and act on data—no SQL, no dashboards, just simple questions and intelligent answers.

With natural language querying (NLQ), users can ask contextual business questions like “Which campuses have student re-enrollments due next term?” or “Show me stores where sales dipped week over week”and get instant, accurate insights powered by dynamic data pipelines. Data Copilot connects seamlessly with enterprise systems, data warehouses, and BI tools, providing real-time visibility across KPIs and operational metrics.

It supports self-service analytics, trend analysis, and proactive alerting, enabling organizations to make faster, data-driven decisions without dependence on IT or analysts. With secure integrations across databases and cloud platforms, it ensures both governance and agility.

By combining natural language intelligence with robust data connectivity, Data Copilot delivers the next evolution of business analytics from reports to conversations, from data silos to unified intelligence.

Smart Manufacturing
Supply Chain & Logistics

KPIs Delivered as a measurable, enterprise-grade efficiency accelerator

Operational Efficiency & Speed

  • 60–70% reduction in time spent navigating dashboards, reports, and systems.
  • 40–55% improvement in average issue resolution speed (MTTR).
  • 50–65% reduction in BI/reporting dependency on IT & data teams.
  • 30–45% faster decision-making due to instant insight availability.

Service & Customer Support Impact

  • 20–35% increase in First Contact Resolution (FCR).
  • 30–50% drop in SLA breaches through proactive insights and alerting.
  • 25–40% reduction in ticket backlog through quicker data access.

Analytics & Insight Productivity

  • 70–80% faster insight generation compared to manual BI or SQL queries.
  • 5–10x faster access to cross-system data (CRM + ERP + ticketing).
  • 60%+ reduction in ad-hoc reporting requests.

Cost & Resource Efficiency

  • 30–50% lower operational overhead tied to reporting, data pulls, and context switching.
  • 25–35% reduction in tool licensing or BI stack duplication.
  • 20–30% reduction in analyst workload spent on repetitive queries.

Case Study 1: Global Education Network

Problem:

Academic operations, enrollment teams, and campus service staff were dependent on BI and IT for everyday insights — monthly enrollment reports took 2–4 days, fee analytics took hours, and cross-campus comparisons required manual Excel work.

What Data Copilot Did:

  • Connected to campus ERP, SIS, CRM.
  • Enabled natural-language questions:
  • “Which campuses have re-enrollments due next month?”
  • “Show students with pending fee >30 days.”
  • Auto-generated charts & dashboards for leadership.

Impact:

  • 70% faster visibility into enrollment & fee KPIs.
  • 50% fewer data requests to IT/BI teams.
  • Monthly executive insights went from 3 days → under 30 seconds.
  • Campus service teams improved parent query resolution by ~40%.
Smart Manufacturing

Case Study 2: Retil & Consumer Goods Chain (300+ Stores)

Problem:

Store managers and operations teams needed real-time insights on stockouts, sales dips, and promotions.

But BI dashboards were slow, difficult to customize, and could not combine ERP + POS + supply chain data easily.

What Data Copilot Did:

  • Connected POS, inventory DB, CRM promotions tables
  • Users asked questions like:
  • “Show me stores where sales dipped week-over-week.”
  • “Which SKUs will run out in the next 5 days?”
  • Generated trend charts and multi-metric dashboards instantly.

Impact:

  • Week-over-week sales insights generated 10x faster.
  • Stockout prediction accuracy improved by ~35%.
  • Store operations saw 30% improvement in daily decision-making speed.
  • Reduced reliance on BI teams for manual extracts by ~60%.
Smart Manufacturing