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How GIVA automated 70% of support queries while maintaining 90%+ customer satisfaction

How GIVA automated 70% of support queries while maintaining 90%+ customer satisfaction

Industry

Retail Luxury Goods and Jewellery

Company Size

1001-5000

Headquarters

Bangalore, Karnataka

Founded

2019

About

GIVA is India's largest D2C jewellery brand, specializing in silver, gold, and lab-grown diamond jewellery. With a mission to make authentic fine jewellery accessible, Giva serves customers through both online channels and physical stores nationwide, building loyalty through exceptional customer service.

Problem

Support costs outpacing growth

As GIVA's customer base grew exponentially, their support team struggled to maintain the premium service quality they were known for. Despite having a large dedicated support team, they faced critical operational challenges:

  • High operational costs: Supporting complex workflows across orders, returns, warranties, payments, and delivery required a large team that grew proportionally with customer demand.
  • Slow response and resolution times: Average Handle Time (AHT) was high due to manual lookups across multiple systems and demand fluctuations.
  • Limited language coverage: Many customers preferred Hindi support, but staffing bilingual agents was challenging and expensive.
  • Scaling bottleneck: Each new product line and channel expansion required hiring and training more agents, creating an unsustainable growth model.

Solution

AI voice agents that actually take action

GIVA partnered with HoomanLabs to build an AI-powered voice support system that could handle the complexity of jewellery e-commerce while maintaining their signature service quality. The solution featured:

  • Deep system integration: Voice agents fully integrated with order management (Shopify), delivery tracking (Shiprocket), returns and warranty management (Unicommerce & internal tools), communication (Exotel & Whatsapp), and ticketing (Freshdesk) systems, enabling real-time data access and action-taking.
  • 20+ automated actions: Unlike basic chatbots, agents could process returns, initiate refunds, track deliveries, verify warranties, cancel orders, create support tickets, process exchanges, and more, handling complete workflows end-to-end.
  • Bilingual voice support: Natural conversations in both English and Hindi, with context-aware language switching based on customer preference.
  • Multi-agent framework: Sophisticated architecture with redundancy mechanisms, intelligent routing, and seamless human handoff for complex cases, ensuring reliability and consistent quality.
  • Complete transparency: Full access to conversation logs, real-time monitoring dashboards, and straightforward pricing with no hidden costs.

Beyond inbound support, GIVA also deployed outbound voice campaigns for post-purchase feedback collection and festive promotions, driving both customer insights and direct revenue impact.

"What set HoomanLabs apart was their consultative approach. They didn't just provide a product, they worked as an extension of our team. From understanding our intricate workflows to shaping solutions that fit our unique needs, their founder-led support made all the difference. They weren't building for us, they were building with us."
Varun Gupta, VP Operations, GIVA

Impact

Two-thirds of support automated while matching human-level satisfaction and eliminating peak bottlenecks

The results were transformative:

  • 70% query automation: Voice agents successfully automated two-thirds of all inbound support queries end-to-end, handling everything from simple tracking inquiries to complex return and warranty workflows without human intervention.
  • 90%+ CSAT maintained: Customer satisfaction scores for AI-handled interactions matched those of human agents at 90%+, with customers particularly appreciating instant response times, 24/7 availability, and bilingual support options.
  • 50% cost reduction: Automating 70% of queries eliminated the need for proportional team expansion, resulting in 50% reduction in support costs despite continued volume growth.
  • Zero missed calls with elastic scaling: The voice agent seamlessly handles demand spikes without any cost impact, scaling from 1,000 calls on regular days to 2,500-3,000 calls during festive peaks. This eliminated the impossible choice between temporary team expansion (impractical for short peaks) or accepting high missed call rates during crucial revenue periods.
By adopting HoomanLabs' voice agents, GIVA transformed support from a scaling bottleneck into a competitive advantage. The solution didn't just cut costs, it enabled 24/7 bilingual service, eliminated peak-time chaos, and freed the team to focus on complex customer needs. The partnership proves that AI automation can simultaneously improve service quality and unit economics.
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