QuickCart

AI Support Chatbot That Resolved 62% of Tickets for QuickCart

A custom LLM chatbot across web and WhatsApp that handles support and assists sales, around the clock.

QuickCart — AI Chatbot Development

What it delivered

62%
Tickets auto-resolved
3x
Faster first response
24/7
Customer coverage
18%
More assisted sales
01

The brief

AI chatbot development is the practice of building conversational AI that answers customers automatically across web and messaging channels. QuickCart, a fast-growing e-commerce retailer, was drowning in repetitive customer queries and losing after-hours sales. InventoApps designed and built a custom AI chatbot, powered by a GPT-class LLM and retrieval-augmented generation over their product catalog and policies, across their website and WhatsApp. The bot resolves the majority of routine tickets instantly, hands complex cases to human agents, and assists shoppers through checkout around the clock.

02

The challenge

QuickCart's small support team was overwhelmed by repetitive questions about orders, shipping, and returns. Response times stretched to hours, and customers who messaged after business hours simply went unanswered, and often unbought.

03

What we built

InventoApps built a custom AI chatbot using a GPT-class LLM with retrieval-augmented generation over QuickCart's product catalog, FAQs, and policies, integrated across the website and WhatsApp Business API. We rolled it out in three phases over eight weeks: knowledge-base ingestion, a supervised soft launch where every answer was reviewed by an agent, then full automation governed by a confidence threshold. When the model is unsure, or the topic is sensitive, like a refund or complaint, the conversation is handed to a human agent with the full chat context preserved, so the customer never has to repeat themselves.

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Questions about this project

What did InventoApps build for QuickCart?

We built a custom AI customer-support chatbot powered by a GPT-class LLM with retrieval-augmented generation over QuickCart's product catalog and policies, deployed on their website and WhatsApp.

Which channels does the chatbot support?

The website and WhatsApp Business, with seamless handoff to a human agent whenever the conversation needs one.

What changed after launch?

Before, after-hours messages went unanswered until the next day. After, customers got instant answers around the clock, and the support team was freed to focus on the complex cases that genuinely need a person.

How long did the chatbot project take?

About 8 weeks from discovery to launch, rolled out in three phases: knowledge-base setup, a supervised soft launch, then full automation.

How does the chatbot decide when to involve a human?

It uses a confidence threshold. When the model is unsure, or the topic is sensitive such as a refund or complaint, the conversation is routed to a human agent with the full context preserved.

Does the chatbot handle sales as well as support?

Yes. Beyond resolving support tickets, it answers product questions and assists shoppers through checkout, which lifted assisted sales.

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