AI360 Retail

An AI-powered retail analytics platform for planogramming, shelf compliance monitoring, and sales trend analysis — giving merchandising teams real-time visibility into store performance.

Features

  • Automated planogram generation and shelf layout management
  • Computer vision-based compliance checking against planogram targets
  • Sales trend dashboards with drill-down by store, region, and SKU
  • Drag-and-drop shelves editor
  • Compliance routines and alerts with escalation workflows
  • Role-based access for merchandisers, managers, and admins

Tech Stack

Next.jsTypeScriptNode.jsExpressMongoDBMongooseAnt DesignDnD KitReduxNodemailerBull MQZodRedisDockerGitlab CI/CDPortainerNginx

Key Insights

  • HITL (Human-in-the-Loop) processes were essential for improving the computer vision model over time with real user feedback
  • Keeping Workers like Email Worker, Compliance Routines Worker separate on the backend kept service boundaries clean
  • Implementing Bull MQ for background jobs allowed for better scalability and reliability of non-critical tasks
  • DnD Editor provided the users flexibility needed for a freeform shelf editor
  • RBAC with ladder escalation workflows proved essential for the compliance monitoring features