The Service Inquiry Resolution Agent, developed by ZBrain™, streamlines how organizations manage customer inquiries across multiple communication platforms. Many organizations face challenges in tracking and responding to questions received through email, WhatsApp and other messaging services, often resulting in delays, inconsistent responses and missed opportunities. This agent centralizes inquiries in real time and ensures timely, accurate replies, improving both customer satisfaction and operational efficiency.
The agent works by intelligently capturing and analyzing incoming service requests, then matching them with the most relevant solutions or offerings from the organization’s catalog. Rather than overwhelming customers with generic responses, it uses a large language model (LLM)-driven reasoning to curate product or service options tailored to customer needs and preferences. This reduces friction in the decision-making process, accelerates resolution and increases conversion likelihood by guiding customers toward the right choices.
For organizations, the Service Inquiry Resolution Agent acts as both a proactive sales and support tool. It minimizes manual handling, ensures no inquiry slips through the cracks and frees teams to focus on high-value interactions. The result is a smoother customer journey, higher engagement and improved sales outcomes, delivering both greater customer loyalty and measurable gains in efficiency.
Accuracy
TBD
Speed
TBD
Sample of data set required for Service Inquiry Resolution Agent:
Novexa Solutions – Service Inquiry Log
Inquiry #001 – Email Channel
"We have been experiencing frequent server downtime during peak business hours, which is impacting our operations.
Could you please recommend a high-availability infrastructure setup tailored for financial services? Additionally, we are interested in understanding if Novexa offers managed monitoring services, and the scope of those services."
"Hello, we are planning to expand operations into 20 new retail outlets across the US.
Does Novexa provide Point-of-Sale (POS) system integrations with real-time sales and inventory analytics?
What is the typical deployment timeline for a rollout of this scale?"
"We are evaluating automated solutions for fleet management, focusing specifically on real-time tracking of vehicle performance and fuel efficiency metrics.
Can your platform integrate with IoT sensors from multiple third-party vendors? If yes, are there any limitations on supported protocols or sensor models?"
Sample output delivered by the Service Inquiry Resolution Agent:
Novexa Solutions – Agent Resolution
Inquiry #001 – High-Availability Infrastructure & Managed Monitoring
Agent Response:
Dear Mr. Mitchell,Thank you for reaching out to Novexa Solutions.
To address the frequent server downtime during peak hours, we recommend implementing a high-availability (HA) infrastructure based on a multi-region active-active architecture using load balancers and redundant application servers. Specifically, we suggest deploying solutions such as AWS Elastic Load Balancing (ELB) in combination with Auto Scaling Groups and Amazon RDS Multi-AZ for database redundancy.
Regarding managed monitoring, Novexa offers a comprehensive service that includes 24/7 system health monitoring, automated alerting, performance analytics dashboards, and incident response management. Our service provides SLA-backed response times and regular infrastructure performance reports tailored to financial service industry requirements.
Would you like us to arrange a detailed architecture proposal and a demo of our monitoring platform?
Best regards,
Novexa Solutions Support Team
Inquiry #002 – POS System Integrations with Real-Time Analytics
Agent Response:
Dear Ms. Roberts,Thank you for contacting Novexa Solutions.
We do offer Point-of-Sale (POS) system integrations with real-time sales, inventory, and customer analytics tailored for retail expansion projects. Our solution supports integration with major POS hardware and software vendors via standard APIs, allowing centralized management of sales data and inventory across multiple outlets.
For a rollout of approximately 20 new outlets, the typical deployment timeline is between 6 to 10 weeks, depending on the complexity of custom integrations and data migration requirements.
We would be happy to arrange a detailed scoping call to evaluate your specific POS environment and provide a more accurate project plan.
Kind regards,
Novexa Solutions Customer Success Team
Inquiry #003 – IoT Fleet Performance Tracking Integration
Agent Response:
Dear Mr. Harris,Thank you for your inquiry.
Novexa Solutions offers a flexible fleet management platform capable of integrating with IoT sensors from multiple third-party vendors. Our system supports standard communication protocols such as MQTT, HTTP REST APIs, and OPC-UA, enabling seamless ingestion of real-time data from diverse IoT devices.
There are no strict limitations on sensor models, though we recommend using devices that support standardized protocols to ensure optimal compatibility and performance.
Additionally, we provide custom integration services if you need help connecting proprietary sensor models or legacy systems.
Would you be interested in a technical consultation to discuss your specific IoT vendors and project requirements?
Sincerely,
Novexa Solutions Technical Support Team
Streamlines service requests across channels like email, WhatsApp ,etc. with intelligent, personalized responses that boost efficiency and customer engagement.
Recommends tailored service plan adjustments based on evolving customer usage and goals.
Empowers users to solve technical problems faster with image-based diagnostics and context-aware, step-by-step troubleshooting guidance.
Evaluates closed support tickets for accuracy, tone, empathy, and resolution speed using LLMs to suggest quality improvements.
Automates customer support by retrieving open tickets, searching the knowledge base, sending email responses, and logging unresolved queries for future reference.
Streamlines case resolution by summarizing cases, displaying resolution status, and providing next-step recommendations using past case knowledge.