The Challenge: Retail Brands Store Support Operations Today
Multi-store retail brands in India operate across 50-500+ locations but lack a unified view of their customers across stores, channels, and touchpoints.
Store staff are the frontline of your loyalty programme, but they're undertrained, overworked, and have no visibility into customer data. The result: poor enrollment, incorrect point crediting, and frustrated customers.
How Fundle's AI Store Support Agent Solves This
Fundle's AI Store Support Agent provides real-time assistance to store teams. Customer lookup, point balance checks, reward suggestions, and issue resolution — all accessible through a simple interface. It also identifies stores with low programme adoption and provides targeted training recommendations.
Key Capabilities
- Real-time customer lookup and profile access
- Instant point balance and tier information
- AI-suggested personalised offers at POS
- Store-level adoption tracking and alerts
- Automated training recommendations
Why Retail Brands Need AI-Powered Store Support
- Siloed customer data across stores
- No unified customer profile or purchase history
- Generic campaigns that treat all customers the same
- Inability to measure campaign impact on store revenue
The Business Impact
Fundle's AI Store Support Agent helps retail brands reduce store-level friction and improve loyalty programme adoption by 50%. This isn't incremental improvement — it's a fundamental shift from manual operations to autonomous AI execution.
With Fundle, your store-support operations run on autopilot while your team focuses on strategy. The AI learns from every interaction, every transaction, and every campaign — continuously improving its recommendations and actions.
Related resources
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