Listings at 93% completeness. Reviews replied to within hours. rStorefront, the hyperlocal funnel for 20+ Indian brands.
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Posted on Jun 29, 2026
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rStorefront is a hyperlocal presence platform for multi-location brands. It pulls every Google Business Profile a brand runs, from ten stores to four hundred, into one place to manage. Listings, reviews, microsites, virtual numbers, analytics. The work Google's native tools leave to spreadsheets once a brand crosses thirty locations.
We shaped what rStorefront became. Every pillar, designed end to end: the bulk engine that edits four hundred listings at once, the review system that replies in hours, the AI responder that shipped before Google's own, the microsite builder, the analytics that grew with how brands read their data. Strategy and interface, built together with the product team.
“ Today 20+ Indian brands run their presence on rStorefront. The platform earned that footprint. The design work is why it holds.”
What this delivered
8 product pillars, designed end to end.
Additional modules as AI responder, Geo Insights, Menu management & QSR.
Customer front and Admin for RetailFront, a hyperlocal e-Commerce platform.
1000+ screens delivered, for desktop-sm (1440) & desktop-lg (1920).
132 primitives, 327 tokens, 11 text styles, 174 icons, 50+ component sets.
Light and dark from launch, scalable to additional themes.
Developed the platform in JavaScript, Laravel, PHP & more.
Building for a market the native tools weren't designed for
Google Business Profile is free. It surfaces business details across Search and Maps. For one location, the native interface works. For 400, it fragments.
Each location is its own review stream. Bulk operations are limited. Comparison across stores happens in spreadsheets, not the product. NAP consistency, duplicate suppression, role governance: each becomes an operations problem when scale crosses 30 locations.
The category isn't empty. Yext, Synup, MomentFeed, Birdeye and others sit in this space. Most are built for Western enterprise conditions: postcard verification on Western timelines, single-language customer bases, desktop-first usage patterns. None are built for India, where 80% of web traffic comes through mobile, reviews arrive in regional languages, and store counts at growing brands can swing from 10 to 400 in a year.
“ rStorefront was built for those conditions, by a team that lived them. ”
Five pillars, three capability layers
rStorefront is a platform with five named pillars. Three capability layers sit across them.
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