Top Indian Q-Comm Brand Closes 200K+ Daily Queries & Scales 2X Faster with Kapture

Valued at over $5 billion, India’s fastest-growing quick commerce platform boasts an efficient supply chain, last-mile delivery, real-time demand-based sensing, and a dynamic pricing strategy. However, their customer support needed to scale to match their rapid growth.

Challenges

With surging call volumes during their hypergrowth phase, this unicorn sought a solution that went beyond merely adding more agents, aiming to address underlying systemic challenges and ensure seamless support for their customers.

40%

High-Volume Repetitive Queries

4-6 min

High Average Handling Time

2.5 min

High Wait Times

Challenge 1: Managing High Ticket Volumes During Peak Seasons

During flash sales and festive periods, they experienced a significant surge in ticket volumes, often driven by repetitive queries.

How Kapture Solved It:

Conversational Chatbots

Instantly handles 90% of customer queries, including order tracking, returns, and FAQs—no agent intervention needed.

Advanced Ticketing & Case Handling

Smartly routes tickets to the right agent with AI tools to accurately resolve tickets faster – smoothly managing up to 200K+ monthly tickets.

Challenge 2: Proactively Managing Escalations

Delayed resolutions resulted in customer dissatisfaction and occasional escalations on social media platforms.

How Kapture Solved It:

Early Warning System

Detects risky keywords in chats and alerts supervisors to intervene before issues escalate.

Bot Observability & Intervention

Managers monitor chatbot activities and flag tickets in real time, enabling timely interventions and dynamic bot responses driven by agent or supervisor input, ensuring swift and accurate resolutions without disrupting the customer experience.

Challenge 3: Real-Time Operational Issues

Riders faced challenges with live-order issues, delivery disputes, and shift scheduling, which impacted efficiency and customer satisfaction.

How Kapture Solved It:

Voice Bots for Rider Support

Automates call support for real-time concerns like live orders, onboarding queries, and delivery disputes.

Priority Ticketing

Enables drivers to raise in-app tickets for quick resolutions and get priority support for live-order issues.

Challenge 4: Inefficient Rider Recruitment

High volumes of cold calls for rider onboarding led to inefficiencies in recruitment and scaling efforts.

How Kapture Solved It:

Voice Bot Recruitment Support

Automates bulk calls to engage cold and warm leads, doubling rider recruitment effortlessly.

The Impact

Here’s the measurable impact the hyper-growing business achieved with Kapture. Improved efficiency, faster resolutions, and doubled rider recruitment – all driving towards better customer satisfaction and experience.

98%

Bot Resolution Rate

<50 sec

Average Handling Time

22%

CSAT Improvement

2X

Faster Rider Recruitment

How India’s fastest growing Q-Comm elevates CX & scales rapidly with Kapture

With Kapture’s advanced AI solutions, they achieved remarkable results: a 98% bot resolution rate, a drastic reduction in average handling time from over 6 minutes to under 50 seconds, and a 22% improvement in CSAT.

Additionally, the business scaled 2x faster in rider recruitment, driving operational efficiency and better customer experiences.

Powering Hypergrowth
with Kapture

From groceries and essentials to electrifying new verticals, the Q-Comm uses Kapture’s AI-first innovations for its rapid growth. By teaming up, they deliver seamless customer experiences, boost productivity, and constantly reshaped on-demand delivery for the future.

Join them and supercharge your CX.

About Kapture CX

Kapture CX is an Enterprise-grade SaaS-based customer experience management platform, rooted in cutting-edge technology, including Machine Learning and Generative AI. With a strong focus on the Retail, BFSI, Travel, and Consumer Durables sectors, Kapture CX is helping over 1000+ businesses across 16 countries elevate their customer experiences from average to exceptional.

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