Smart Retail

Footfall analytics

• Our AI based​ video​ analytics​ solution can tell you the total no​ of people visiting​ your store​ everyday​ (High​ degree of​ accuracy*)​
• Get analytics on footfall by​ various hours of the day​
• Peak time analysis for better staff utilization and planning

Demographics

• Footfall data break-up by :​
  • Male vs Female​
  • Age categories​​
  • ​Ethnicity​
  • ​Other criteria as needed
• Track engagement across age groups and​ map your​ offers/campaigns to​ continually​ changing ustomer segments​
• Track effectiveness of your marketing campaigns in attracting the target demography​

Emotions analytics (CX mapping)​

• Track Customer Experience throughout their journey through your store
• We can compare and contrast with your expected journey map and notify staff to take action where needed
• Use cases:​
  • CX on entering the store​
  • CX while browsing​
  • CS after Trials​
  • CX at and after purchase
• The data can then be used to continually​ improve on the overall CX for clients

Dwell time analytics​

• Understand the time spent by various customers inside the store​
• This data can also be segregated by age-wise time spent or ethnicity wise time spent​
• We can also segregate time spent by visitors who made the purchase vs those who didn’t​
• Using this analytics you can understand the interest levels of various customer groups and plan store layout accordingly

Heat-maps​

• Identify which sections are most visited by customers​
• Can be really helpful to re-design store layout based on time spent at various sections​
• Most visited sections should be easily accessible to customers​

Trial vs. conversions​

• Get​ real-time analysis on trial vs​ conversions
• This data​ can​ be helpful to analyze​ conversion​ levels. People only take trials when they are interested in​ buying​
• Low conversions could be an indicator of less variety / lack of sizes​
• Depending on the requirements, this data can also be provided by demographics​

Employee productivity​​

Understand the productivity of your​ employees, while on the store floor.

Get analytics on time spent by employees:​

• in different sections​​
• during customer interaction​​
• in and out of the store​

Drone based stock taking​

• Real-time shelf-stock analysis by using drones​
• Drone flies shelf-by-shelf and provides real-time data on item type/ quantity and MRP​
• This data is immediately sent to the fulfillment team to replenish the shelf in case of short quantity or if a wrong item is placed on the shelf​