A mid-sized eCommerce company with an international customer base faced a growing challenge: effectively supporting both internal support staff and external customers in setting up and managing a complex eCommerce platform.
Documentation was scattered across multiple systems, resulting in inconsistent responses to support inquiries, unclear responsibilities, and lengthy onboarding times.
These issues led to implementation delays and dissatisfaction among customers and employees.
To tackle these issues, the company deployed an intelligent, AI-powered Support Agent with 24/7 access to all relevant technical and procedural documentation related to the eCommerce platform.
The agent was trained using a comprehensive dataset compiled from product databases, helpdesk records, admin guides, tutorials, and user feedback.
It was seamlessly integrated into both helpdesk tools for staff and self-service portals for customers.
The solution utilized bloola’s synchronization capabilities to centralize knowledge and automate workflows, ensuring that up-to-date information was accessible across the organization.
The implementation of the intelligent Support Agent brought clear improvements:
Average support ticket handling time dropped by 60 percent.
First-time resolution rate increased from 40 to 85 percent.
Customers praised the clarity and speed of support interactions.
New support staff ramped up more quickly thanks to contextual knowledge guidance.
Internal training efforts were cut by half.
Future plans for the support system include:
Adding voice assistant integration for phone-based support.
Extending the agent’s use to departments like accounting and logistics.
Developing a central AI-enhanced knowledge ecosystem that continuously updates and optimizes itself.