AI-powered hyperlocal presence platform for multi-location retail brands
DashLoc operates a hyperlocal presence platform for enterprise retail chains, combining listing management, AI review systems, and call tracking across Google, Bing, Apple, and Facebook. The tech stack is heavily AWS-containerized (Docker, Kubernetes, ECS) with Java backend services (Tomcat, Weblogic), indicating infrastructure built for scale across distributed store networks. Current hiring focus is engineering-driven with minimal velocity—five open engineering roles but no placements in the last 30 days—while the project list reveals internal friction: the team is still automating manual code releases and building foundational CI/CD pipelines, suggesting operational tooling lags product velocity.
DashLoc builds a platform helping enterprise retail brands manage online presence across multiple locations and channels. The product covers listing syndication (GBP, Bing, Apple, Facebook), custom microsites per store, AI-powered review management, virtual phone numbers with call transcription and sentiment analysis, and WhatsApp marketing automation. Founded in 2019 and based in Bangalore, the company operates with roughly 51–200 employees, primarily engineering-focused, serving mid-market to enterprise retail chains in India. The platform is positioned as India's leading hyperlocal presence solution for brands with physical store networks.
DashLoc runs on AWS infrastructure (ECS, Elastic Beanstalk, CodeDeploy, CodePipeline) with containerization via Docker and Kubernetes. Backend services include Tomcat and Weblogic. Frontend uses Flutter and Dart. Data and analytics run on SQL, Power BI, and Tableau.
DashLoc provides listing management across Google, Bing, Apple, and Facebook; AI-powered review management; custom store microsites; virtual phone numbers with call transcription and sentiment analysis; and WhatsApp marketing automation for enterprise retail brands with multiple locations.
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