Sensing Layer that Monitors, Protects, Notifies
Turning Mute Data into Actionable Intelligence
Actions for Optimising Business Based on Insights
Check conversion rate versus walk-in. Manage staff to get the best employees during peak hours.
Get comprehensive walk-in & customer engagement analytics to improve store performance. Test the effectiveness of display and promotions on different days & occasions. Optimise staff roster & identify improvement areas to get more conversions.
AI-based analytics to track number of customers who visited the outlet
Machine learning helps finding out time spent by customers across areas in an outlet
Facial recognition technology to identify how frequently customers visit you
Analytics to measure conversion rates & sales performance
Real Time notifications on non-compliance to ensure consistent Customer Experience
Keep a close look on parameters like opening & closing time, hygiene, dress code adherence, and get notifications for deviations in SOP. Maintain consistency across locations and uplift your brand image.
Opening & closing time reports to maintain standardisation
Reports on sequence of daily task execution & customer handling
Check employee adherence to dress code & ID card
Map deviations in specified communication with customers
Understand how LUX patterns impact purchase journey
Temperature & humidity, light intensity is known to impact consumer behaviour and keep stored items intact. Identify ideal LUX level to maintain a pleasant ambience and avoid an environment that hampers goods storage.
Adjust server room temperature to avoid overheating of equipment
Analysis on ideal humidity & temperature level for storage of goods
Understand Energy Consumption pattern of appliances and save on bills
Identify ideal light intensity and schedule automated scenarios to set a friendly tone throughout the day. Understand consumption pattern of heavy appliances, get billing intelligence and take necessary actions to save energy.
IoT-driven statistics for lighting management in response to dynamic daylight changes
Machine learning based power consumption forecasts & billing estimates
Machine learning pinpoints the cause of energy loss & spots inefficient heavy appliances
Analysing 2 Million sq. ft.
Largest Repository of
Blend of hardware and