Sarviq
FoodTech & Data Analytics

Zaika — Enterprise Restaurant Discovery & Analytics Engine

Engineered an enterprise-grade restaurant discovery and real-time culinary analytics platform indexing thousands of restaurants across major Indian metros with live MongoDB query explain plans and hand-crafted visual analytics.

Live Production Platform

zaika-ui.antideploy.app

Launch Live Site
https://zaika-ui.antideploy.app

< 5ms

Indexed Query Latency

100%

Real-time Index Coverage

99.9%

Platform Availability

The Business Challenge

Designing a high-throughput culinary data portal capable of multi-criteria faceted queries across thousands of dining locations while delivering sub-millisecond query performance and transparent query optimization plans for developers and diners alike.

Engineered Solution

  • Architected a custom hand-drawn tactile UI design system with dynamic light/dark theming and fluid micro-animations
  • Built multi-faceted search indexing across cuisines, price tiers, localities, online delivery, and table booking
  • Engineered a live explain() execution visualizer comparing MongoDB index performance against collection scans in real time
  • Implemented server-driven aggregation pipelines powering instant geographic and culinary distribution analytics

Client Partner

Zaika Platform (India)

zaika-ui.antideploy.app

Tech Stack & Infrastructure

MongoDB AtlasAggregation PipelinesJavaScript / ES6+Rough.jsREST APIsModern CSS
GLOBAL DELIVERY READY

Facing Similar Scalability or Architecture Challenges?

Speak directly with our principal engineers to evaluate potential technical trajectories.

Prefer email? Direct line: business@sarviq.in

24h SLA Response
Direct Architect Access
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Zaika — Enterprise Restaurant Discovery & Analytics Engine | Sarviq Case Study | Sarviq