%20(1)%20(1).gif)
Transforming Hospitality Data from EOL Systems to Modern Platforms in 8 weeks
About The Quorum
The Quorum, operating as Q Collective, is India's high-end exclusive members club, founded in 2018. With locations in Gurugram, Mumbai, and Hyderabad, they deliver a curated environment for business leaders, entrepreneurs, and creative professionals seeking world-class dining, networking, and cultural programming. Member experience is the core product, and the depth of the club's knowledge about each member's preferences, relationships, and engagement history is the engine that makes personalized service possible at scale.
Turgon Services Provided
- Data Migration
- Data Ontology and Lineage
- Data Quality and Governance
- Pipelines and System Integrations
- Data Warehouse Build (Unified Loyalty Platform)
The Challenge: Member Intelligence Trapped in Undocumented Legacy Systems
Most successful service businesses know their customers well to build toward deeper relationships and higher lifetime value.
The Quorum built its reputation by knowing its members, their preferences, their dining habits, their professional contexts, and their history with the club. Preserving and deepening that knowledge depends entirely on data infrastructure that can surface the right context at the right moment. But the systems that had accumulated years of this intelligence were becoming a liability.
End-of-life systems with no viable migration path
The Quorum's operational data, spanning point-of-sale transactions, loyalty program activity, member CRM records, and payment history, resided across multiple legacy platforms that were approaching or had reached end-of-life. Few engineers retained expertise in these systems. Vendor support was eroding. Integration with the modern property management system the club needed to operate at scale was not technically feasible through conventional means.
Decades of undocumented business logic
The legacy platforms had never been formally documented. Data models, field relationships, and the implicit rules governing how member data flowed between systems existed only inside the software itself. Any migration required understanding those structures before a single record could be moved, a process that would normally require months of manual reverse-engineering by specialists who were increasingly hard to find.
Fragmented member view across touchpoints
Member data was siloed across systems that did not speak to each other. Loyalty activity, dining history, and CRM records were maintained independently, with no unified member profile that could inform service delivery, retention campaigns, or operational planning. Club leadership had no single view of member engagement across dine-in, delivery, app interactions, and event attendance.
Manual reporting consuming operational capacity
Without integrated data infrastructure, reporting required staff to manually gather and reconcile data from multiple sources. Campaign performance visibility lagged by up to five days. Churn signals were invisible until members had already lapsed. The club's ability to act on its own member intelligence was constrained by the effort required to produce it.
Turgon's Solution: AI Agents as EOL System Subject Matter Experts
Turgon's engagement centered on a single, high-stakes problem: extract decades of member intelligence from systems whose internal logic had never been documented, then migrate it cleanly into modern infrastructure. Turgon's approach bypassed the traditional dependency on human legacy system experts by deploying specialized AI agents to learn the EOL systems directly.\
AI agents decode the undocumented data models
Turgon's Data AI Agents connected directly to The Quorum's point-of-sale, loyalty, payment, and CRM platforms. Rather than relying on interviews, workshops, or surviving documentation, the agents mapped data models and decoded workflows autonomously, analyzing field names, data types, relationships, and the implicit rules governing data flow across systems. This machine-speed discovery phase captured institutional knowledge that no human team could have reconstructed in the same timeframe.
Semantic understanding enables confident transformation
The agents built a contextual semantic model of the data, not just a structural inventory. They identified how records related to each other across platforms, understood the business logic embedded in data flows, and established the translation layer required to move member records into modern systems without loss of meaning. This semantic foundation is what allowed transformation to proceed with confidence rather than approximation.
Automated migration code generation and quality assurance
With the semantic model established, Turgon's Coding AI Agent automatically generated migration code and transformation logic aligned to the target system's requirements. The Migration Agent and Data Quality Agent ran in parallel, validating record accuracy and completeness at each stage. Turgon's engineers focused on business alignment, exception handling, and final validation rather than manual documentation and code authoring. That division of labor compressed the total project to eight weeks.
Unified loyalty intelligence across every member touchpoint
The migration produced a unified member data layer consolidating dine-in, delivery, CRM, and loyalty app history into a single view per member. On top of that foundation, Turgon built predictive models for churn risk and cohort clustering, giving club leadership the tools to act on member behavior rather than reconstruct it manually after the fact. Campaign performance became visible in real time rather than five days after execution.
The Results: Member Intelligence That Drives Retention and Revenue
What the organization needed was not just a technical migration but a strategic recovery of its competitive asset: the accumulated intelligence of every member interaction across its locations and years of operation. Turgon delivered that recovery at a speed and cost that no traditional systems integrator could have matched, without interrupting club operations for a single day.
Eight weeks to complete migration
Turgon completed the full data migration and unified loyalty intelligence layer in eight weeks. Traditional systems integrators estimated the same scope at 12 or more months, and faced the additional obstacle that few engineers retained working knowledge of the EOL systems in question. The club's operational continuity was maintained throughout with zero downtime.
38% reduction in member churn
With unified member data in place, predictive churn models and cohort clustering were deployed on the new data layer. The Quorum now identifies at-risk members before they lapse and has the segmentation tools to act on those signals with targeted retention campaigns. Member churn dropped 38% following deployment.
Repeat member visit rate from 28% to 44%
The unified view of member behavior across touchpoints enabled the club to design and execute re-engagement campaigns that were not possible when activity data was siloed. Members whose engagement was concentrated in one channel could now be reached with relevant offers tied to their complete club history. Repeat visit rate increased from 28% to 44%.
90% reduction in manual reporting workload
Reporting that previously required staff to manually consolidate data from multiple systems now runs automatically on the unified data infrastructure. Campaign ROI that took five days to calculate is now visible in real time. The operational capacity recovered from manual reporting is redeployed toward member-facing programming and service.
A data foundation built for what comes next
The Quorum now holds its member intelligence in a documented, version-controlled, AI-ready data layer. Every integration pattern, every data relationship, every business rule is a reusable asset rather than tacit knowledge locked inside aging software. As the club expands to new cities or adds new services, that foundation compresses future integration timelines from months to weeks. Turgon transformed the club's greatest infrastructure liability into an enduring competitive advantage.