How Label Your Data Automated Business Reporting and Insights with AI

🤔 Challenge

Label Your Data relied on manual reporting, spreadsheet work, and scattered feedback sources across CRM, email, and meetings.
Key problems included: long reporting cycles and dependency on SQL specialists, limited visibility into upcoming demand and team capacity, slow discovery of customer pain points and feature requests, and time-consuming competitor research.

🏆 Goal

The company aimed to centralize insights across departments, predict sales outcomes and resource needs early, eliminate manual reporting and analysis, improve marketing personalization, align product development with customer needs, and support daily decision-making with accurate, real-time intelligence.

💡 Solution

Label Your Data implemented AI Business Intelligence, an AI system that delivers predictive insights, custom reports, and automated analysis across key functions. Connected to CRM data, communication logs, meeting notes, and historical records, the tool identifies high-value leads, forecasts closed deals, surfaces marketing insights, analyzes product feedback and competitors, and generates reports in seconds.

🔗 Integration

The integration was completed in three weeks. It began with training a custom AI model to generate reports, surface insights, and make predictions using CRM data, communication logs, product feedback, and team performance metrics. After connecting all data sources (CRM, Asana, Jira, Apollo), CoSupport AI Business Intelligence integrated into Slack, allowing employees to request reports, insights, and predictions directly within their workflow, reducing delays and accelerating execution.

🚀 Achieved Key Results

• 17% increase in closed deals driven by CoSupport BI-informed feature development.
• 100% preparedness for Q3 demand surge thanks to early workload prediction.
• 24% higher CTR and 12% higher conversions in marketing outreach.
• 15+ hours saved monthly on manual product research.