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Transforming Support Operations with an AI-Powered Ticketing Solution at a Multi-Brand Franchise Network 

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Company Overview

The client is a large, multi-brand franchise network operating across multiple regions with hundreds of franchise locations. The organization manages a high volume of operational, service, and customer-related requests every day, spanning infrastructure issues, partner support, compliance queries, and customer escalations. With rapid expansion and increasing service expectations, the leadership team prioritized building a centralized, intelligent support framework that could ensure consistent service quality, faster response times, and standardized execution across all franchise units. To support scalable growth, the client sought an AI-powered ticketing solution capable of delivering real-time visibility, automated prioritization, and network-wide service governance. 

Challenges

Before implementing an AI-driven platform, the franchise network experienced limitations common to traditional ticketing environments:

Limited Visibility

Support tickets across brands and locations were fragmented and difficult to track centrally

Manual Escalations

SLA breaches were identified after delays occurred, requiring human intervention

Inconsistent Resolution

Similar issues were handled differently across franchise units 

High Operational Overhead 

Service teams relied heavily on follow-ups, emails, and spreadsheets 

FramaSaaS AI-Powered Ticketing Solution

Unified Ticketing Platform

All service requests across brands and locations were consolidated into a single system

Leadership Dashboards 

Real-time tracking of stock levels, orders, and deliveries.

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AI-Driven Prioritization

AI-Driven Prioritization

Tickets were automatically categorized and prioritized based on urgency, impact, and historical patterns

Performance Analytics Dashboard

AI-Driven Prioritization

The system identified early warning signals and escalated issues before SLA breaches occurred

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Achievement In Numbers

45%

Increase in  Sales Visibility

Achieved faster ticket closure, improving response time and customer satisfaction.

40%

Increase in  Sales Visibility

Realized a drop in manual escalations through smarter workflow automation.

35%

Lower Service Coordination Overhead

Enabled lower service coordination overhead, streamlining cross-team collaboration.

30%

Increase in  Sales Visibility
 

Delivered a improvement in SLA compliance, ensuring consistent service performance.

Conclusion

By implementing an AI-powered ticketing solution, the client transformed support operations from a reactive cost center into a controlled, intelligent service engine

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