Smart Stores…

Smart Stores with AI & IoT

Client: International Retail Chain

Challenge:
The retailer faced challenges with inventory mismanagement, poor in-store customer insights, and long checkout times. Lack of real-time data limited their ability to provide a seamless shopping experience across physical stores and digital channels.

Solution (Detailed):
Chrysalis implemented an AI-powered IoT retail ecosystem by integrating smart sensors, cameras, and connected devices across stores. Key components included:

  • Smart Shelf Monitoring – IoT sensors tracked inventory levels in real time, alerting staff for restocking before shelves went empty.
  • AI-Enabled Customer Insights – IoT devices and computer vision analyzed in-store behavior, such as heatmaps of customer movement and dwell times.
  • Frictionless Checkout – AI-powered IoT checkout counters allowed customers to scan-and-go, reducing queue times.
  • Personalized Engagement – Mobile app notifications, triggered by IoT beacons, provided personalized offers when customers were near specific products.

Results:
30% reduction in stockouts due to real-time shelf monitoring.
25% increase in customer engagement via personalized in-store experiences.
40% faster checkout times, improving overall customer satisfaction.

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