SingleInterface Launches Full-Stack AI RetailTech Platform For Multi-Location Brands
The platform offers a modular yet integrated suite of AI engines aimed at solving distinct challenges faced by multi-location enterprises.
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Retail tech platform SingleInterface has launched its integrated artificial intelligence platform—SingleInterface AI—marking its change into a full-stack AI software suite built exclusively for shopfronts.
This launch unifies SingleInterface’s core offerings, from business listings to engagement, into one self-learning platform. SingleInterface AI features advanced interaction analytics and real-time sentiment decoding, helping brands gain visibility into local trends, intent signals, and campaign impact and offering insights at different touchpoints.
“We believe the future of hyperlocal marketing and commerce is AI-native. It’s transforming how every shopfront shows up in ‘near me’ searches, responds, and grows. With SingleInterface AI, we’re embedding enterprise-grade intelligence into every hyperlocal brand interaction,” said Tarun Sobhani, co-founder and CEO, SingleInterface.
What’s Inside SingleInterface AI
The platform offers a modular yet integrated suite of AI engines aimed at solving distinct challenges faced by multi-location enterprises:
Presence AI: Allows locations (branch, outlet, or store) to be easily searchable with up-to-date information, enabled by automated listings across Google, Apple Maps, car navigation systems and AI voice assistants.
Pages AI: Automatically generates search-optimised microsites for individual locations with real-time content, embedded chat, and actionable CTAs.
Reviews AI: Understands location-level customer reviews with AI-powered emotional intelligence, allowing marketers to respond with empathy.
Engagement AI: Connects the dots between CRM data and real-time conversations, enabling hyper-contextual WhatsApp, email, and web chat outreach.
Campaigns AI: Localises brand campaigns with geo-fenced insights, content fatigue detection, and audience behaviour tracking across different cities or pin/zip codes.
Interactions AI transcribes and analyses customer interactions made with the brand or the nearest location to reveal sentiment, missed opportunities, and conversion blockers.
Audience AI: Uses real-world behaviour signals—like location patterns, visit frequency, and category interest—to identify high-intent buyers before they enter the funnel.
Competition AI: Maps search performance block-by-block, benchmarking each outlet and highlighting areas to win more “near me” searches.
Insights AI: Unifies data across modules to deliver a 360-degree view of brand performance, highlighting trends and offering actionable intelligence at locations.
