5 Spice
Chinese, Asian, Thai, Seafood
Scaling a Legacy Restaurant Brand Across Mumbai
Driving Marketplace Growth Across Dine-In & Cloud Kitchens
Brand Rating
Within a Year
Revenue Growth
Within a Year
Profitability
Within a Year
User Retention
Within a Year
Structured Growth Playbook
Marketplace Audit & Revenue Recovery
Conducted outlet-wise audit across all operational stores analysing ratings, prep time, ad spends, visibility gaps, menu inefficiencies, and platform conversion across Swiggy & Zomato. Optimised listings, corrected pricing architecture, improved catalog structure, and reduced operational leakages impacting marketplace performance.
Revenue & Visibility Optimization
Scaled marketplace growth through outlet-level campaign planning, high-conversion combo engineering, strategic discounting, and cuisine-based menu positioning. Focused on improving organic ranking, repeat ordering behaviour, and ad efficiency while balancing dine-in and delivery demand across multiple Mumbai zones.
Cloud Kitchen & Multi-Brand Scaling
Orchestrated brand expansion by integrating hybrid physical-digital outlets into a unified operational framework. Successfully engineered the high-velocity launch of 'Qins Kitchen' through shared backend intelligence and targeted marketplace dominance strategies to accelerate early-stage growth.
The Challenge
Managing a legacy restaurant brand across 14 outlets with a mix of dine-in and cloud kitchens required balancing aggressive marketplace growth with operational consistency. Increasing competition on Swiggy & Zomato, rising ad dependency, fluctuating ratings, and maintaining visibility across multiple zones created challenges in sustaining profitable scale.
The Solution
We implemented a marketplace-first growth framework focused on outlet-level optimization, structured ad allocation, menu engineering, and operational SOP standardization. Revenue dashboards were created to track platform performance, conversion, ratings, prep time, and ad ROI in real time. Expansion strategies were aligned with hyperlocal demand patterns to improve scalability without compromising profitability.