Customers of the NOIR Fashion e-commerce store repeatedly contacted customer support with questions related to orders, shipment tracking, and returns. A large portion of these inquiries occurred outside regular business hours and focused on the same recurring topics, putting unnecessary strain on the support team and slowing down response times.

The Goal

Automation without loss of quality around the clock

The goal was to automate customer inquiries in a way that:

customer receive instant answers even outside regular business hours.

the AI chatbot handles routine questions related to the e-shop, orders, and returns.

more complex inquiries that require human assistance are seamlessly handed over to the customer support team.

The Solution

AI chatbot integrated with the e-commerce store's internal systems

We designed and deployed an AI chatbot trained on the NOIR Fashion website and documentation, with secure access to the store’s internal infrastructure and real-time data.

Works with e-commerce website content

The AI chatbot uses information from the e-commerce website and internal documentation to answer customer questions accurately and consistently.

Integration with internal systems

The AI chatbot accesses internal data to handle order-related requests and provide up-to-date product information to customers.

Product cards within the conversation

The AI chatbot displays product cards with relevant details directly inside the conversation, helping customers make faster purchase decisions.

Custom UI design

The chatbot’s interface is fully customized to match the e-shop’s visual identity, making it feel like a natural part of the NOIR Fashion brand.

And what does the result look like?

A model calculation based on the real-world operation of a mid-sized e-commerce store and inputs from our ROI calculator.

Automation rate

0 %

Automation of routine customer support inquiries

Released capacity

0 hours per year

Customer support team capacity freed up for more complex requests

Annual savings

$ 0

Estimated annual labor cost savings with the AI chatbot

Implementation challenge

The main challenge was integrating the AI chatbot with the existing e-commerce systems so it could work with real-time data without requiring changes to the client’s internal infrastructure.

Initial conditions

The client already operated an existing integration layer (MCP server) used to access internal e-commerce systems.

Solution

The AI chatbot was adapted and connected to the existing e-commerce infrastructure using the client’s integration layer.

Result

Secure access to real-time e-commerce data without any changes to the backend systems.

Key Takeaways

30% faster delivery

Streamlined development process reduced time to market significantly

Scalable architecture

Built to handle 10x growth without major refactoring

Enhanced user experience

User satisfaction scores increased by 45%

Takeaway title

Want a similar results for your e-commerce store?

Become a modern e-commerce business and discover how an AI chatbot can improve customer support and drive sales.

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