QSR and aggregator intelligence
Restaurant visibility monitoring, multi-location evidence, and clear actions across Swiggy and Zomato.
Serving India · India-aware systems
LoopSuit serves Indian operators and product teams that need more than an AI demo. We build the data and automation layer underneath, the decision logic in the middle, and the interface teams use every day.
What we build
India-specific workflows require India-specific inputs. Our QSR work, for example, accounts for aggregator discovery across Swiggy and Zomato rather than copying a North American playbook. We pair that local operating context with North American enterprise product-design standards.
Restaurant visibility monitoring, multi-location evidence, and clear actions across Swiggy and Zomato.
Interfaces for dense operational data, approvals, alerts, and team workflows.
Lead intake, support, knowledge, reporting, and system-to-system work designed around the way your team operates.
India
AI-native product strategy, UX, design systems, and full-stack implementation.
Custom systems for multi-location operations, sales, service, and decision support.
Remote, async-friendly engagements with a clear scope, written price cap, and client-owned IP.
How engagements start
Map the operational leak, rank the opportunities, and define the KPI worth changing.
Trace the workflow, architecture, data, UX, safeguards, and build scope.
Ship the infrastructure and product together in your repositories and cloud.
Questions
LoopSuit is based in Vancouver and serves Indian clients remotely. We do not claim a physical India office.
Yes. The system is designed around the actual market and data sources involved, including India-specific platforms where relevant.
No. Every engagement is led to the same product and engineering standard. Scope and commercial terms may vary, but the quality bar does not.
Next step
Bring the workflow that is leaking time, leads, visibility, or decisions. We will map whether custom AI is justified and what should happen first.