This bank is India’s largest private sector bank by assets and market capitalisation. Founded in 1994 and headquartered in Mumbai, the bank offers a wide array of services including retail and wholesale banking, loans, credit cards, treasury operations, and robust digital banking solutions.
Renowned for its technology-driven approach and expansive reach, the bank serves millions of customers across India through both in-person and virtual channels. The bank’s focus on continuous up-skilling and agile support operations has made its Virtual Sales Unit a critical pillar of customer acquisition and service.
🧩 The Challenge
This bank’s Virtual Sales Unit operates with over 18,000 agents across 100+ locations, engaging with customers daily to drive sales and resolve queries. Ensuring these agents are continuously trained and kept up to date on ever-evolving products, regulatory changes, and process workflows is mission-critical.
However, managing training at this scale came with pressing challenges:
- 🔄 High Frequency of Training Needs: With frequent updates to financial products and compliance regulations, teams needed to deliver sessions weekly, if not daily, across diverse regions and product lines.
- 📍 Geographically Dispersed Teams: Training programs had to account for different zones, languages, working hours, and regional priorities, requiring a flexible but unified system.
- 🧠 Lack of Visibility into Training Effectiveness: While sessions were being conducted, there was little clarity on:
- Which topics were over- or under-delivered?
- Which teams needed more focus?
- Which trainers were spending the most effort?
- 📊 Manual and Time-Consuming Reporting: Collating training data manually from spreadsheets or siloed platforms took days and still lacked depth. L&D teams could not slice and analyze session-level insights to drive future training strategies.
The existing systems lacked the granularity and automation needed to derive meaningful insights and optimize session planning.
🚀 The Solution
To solve this, this bank adopted the Sessions Module of Lyearn, seamlessly integrating it with Zoom, Google Meet, MS Teams, and enabling support for offline and hybrid sessions. The bank implemented a custom tagging system tailored to its operational needs.
🛠️ How it Works:
- Tags were created for products, processes, locations, channels, workshops, and more
- Trainers log attendance manually or automatically post-session
- Each session is tagged appropriately, making it filterable by category or business objective
- Reports are generated automatically, showing time spent, topic effectiveness, trainer effort, and learner attendance
This intelligent tagging and session tracking system provided unprecedented visibility into the training landscape—empowering L&D to make data-informed decisions instantly.
📊 The Results
Within just two quarters, This bank’s Virtual Sales Unit was able to:
- Track and log over 85,000 training sessions with detailed metadata
- Generate real-time reports on:
- Topics that needed more or fewer sessions
- Locations and teams that required additional focus
- Total trainer hours and learner engagement metrics
- Reduce report collation time from days to minutes through automated dashboards
- Make informed decisions on training investments, prioritization, and scalability
This shift from manual to automated training intelligence allowed the L&D team to focus on impact, not just administration.
Facing Same Challenges?
Make the switch today → Get started with Lyearn
