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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​
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