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Banking Firms cannot deliver on their ‘Personalization Promise’ for Customers
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Banks have effectively matched their analytics efforts with their business goals
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Banking institutions are prepared to take the right steps towards becoming customer centric
MECBot Analyzes
Customer Behaviour
Credit & Debit
Bank Interactions
Channel Usage
Spending Patterns
Fraudulent Activities
Intelligent Banking with MECBot
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MECBot Unifies Structured & Unstructured Banking Data for your Competitive Advantage
Utilizing Product & Market Data as a Strategic Asset
Pre-built ML Models & Smart Insight Grid
- Need-Based Product Development Based on Market Trend
- Recommendation Engine for Next-to-Buy Products for Customer Segments
- Targeted, Optimized, Trigger-Based Cross- sell & Up-sell Campaigns
Strategic Value Creation from Customer Data
360o Customer View & Intelligent Segmentation
- Demographics, Lifecycle & Credit Rating
- Transaction Patterns & Modes of Interaction
- Social Media Listening & Sentiment Analysis
Leverage the ‘User Revolution’ in Banking with MECBot’s Purpose-Built Analytics Models
Ensure Solvency with MECBot’s Expert Risk Modelling on Banking Data in Real Time
Predict and Detect Exposure to Market Risk
Intelligent Pattern Recognition
for Fraud Detection & AML
- Manage Portfolio Risk, Liquidity Coverage & Long Term Solvency
- Safeguard Capital Adequacy & Credit Risk
- Manage and streamline eKYC, combat Fraud & AML
- Predict and Detect Exposure to Market Risk
Last Mile Integration of Banking Data & Analytics in Enterprise Workflow
Case Study
