Case Study
Turning Lead Data into Faster Sales Decisions
A global leader in smart, healthy and sustainable building solutions was operating with a legacy, rules-based lead management system. Manual prioritization, limited visibility into lead quality and high operational effort slowed sales processes and created missed growth opportunities. Infosys transformed the process into an intelligent, AI-driven platform combining real-time scoring, predictive intelligence and automated insights to improve prioritization and establish an AI-ready foundation for continued growth.
Key Challenges
Legacy Lead Management
A rules-based, non-scalable system limited adaptability and made it difficult to evolve lead management with changing business needs.
Manual Prioritization
Lead prioritization required significant manual effort, contributing to slower sales cycles and missed growth opportunities.
Limited Lead Visibility
Sales teams lacked data-driven insight into lead quality, making it harder to identify and focus on higher-value prospects.
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Talk To ExpertsThe Solution
Building an Intelligent Lead Management Platform
AI-Driven Lead Management
- Replaced rules-based logic with an intelligent, data-driven approach to lead management.
- Established a scalable AI foundation for lead qualification and prioritization.
- Created a more adaptable model for supporting future sales and AI use cases.
Real-Time Lead Scoring
- Operationalized real-time lead scoring using Snowflake Cortex.
- Classified leads by priority to provide actionable intelligence for sales teams.
- Reduced dependence on separate external machine-learning infrastructure.
Predictive Insights and Automation
- Applied machine-learning models to predict lead-conversion potential.
- Automated insights to reduce manual effort across lead-management workflows.
- Created a scalable foundation for continued enterprise AI adoption.
From Manual Prioritization to AI-Driven Sales Intelligence
- Real-time scoring gives sales teams a clearer view of lead quality and helps focus effort on the opportunities with greater potential.
- Predictive intelligence reduces dependence on manual prioritization while supporting faster and more consistent sales decisions.
- A scalable AI foundation creates a pathway for extending automated insight and decision support across additional sales workflows.
Business Outcomes
US$500 K
quarterly pipeline opportunity growth
Top 30%
of leads prioritized to improve sales focus
Faster
sales cycles with reduced operational effort
AI-ready
enterprise foundation for continued adoption
Building a Foundation for Smarter Sales Operations
The transformation moves lead management from static, rules-based prioritization toward a more intelligent and responsive sales process. By combining real-time scoring, predictive models and automated insights, the organization can focus sales effort more effectively while reducing manual overhead. The resulting AI-ready platform also provides a scalable foundation for extending intelligent decision support across additional sales and customer-management processes.
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