Submitted by admin on Thu, 08/18/2022 - 22:05

Rising labour costs

Sequence Number 4 Industry Retail Banner Rising labour costs How 5G enabled

5G enabled Digital Services targeted towards staff productivity and immersive training can streamline operations and hence optimize staffing costs.

Data Flows
Title Devices Icon Devices Description
  • Robots, sensors and cameras were deployed to monitor inventory (shelf audits) and store assets (e.g., coolers temperature, etc.) as well as customer purchasing behaviour (crowd formation etc.)
Title Connectivity Icon Connectivity Description
  • Camera images
  • Data info from various sources (external)
Title Edge Compute Icon Edge Compute Description
  • AI (MV) at edge for real-time interactions with customers (e.g., questions, etc.) using robots and displays
  • Service application for real-time customer guidance (mobile / robot)
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All historical and real-time data stored in Enterprise-owned storage
Title Applications & Services Icon Applications & Services Description
  • ML for predictive asset maintenance
  • MV to monitor inventory levels and customer behaviour
  • Self service POS autonomous shop
  • MV training (AR material displayed via tablet/Smart glasses)
Title Inform Decision Makers Icon Inform Decision Makers Description
  • New tasks (restocking, clean-up, potential theft etc.,) can be sent to staff phone, tablet or even overlayed smart glasses
  • Smart shelves integrated with cloud ERP systems can automatically change price and product information
  • Automated personal robots can assist with generic customer queries
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Deploy low-cost cameras and sensors at various critical locations around the store for data collection
  • Contactless and wireless payment terminals to encourage self-service payment, to move towards auto-charging system that triggers payment when customers leave the store (autonomous store)
  • Autonomous robots can perform multiple intra-day inventory audits compared to humans (who can at most do so only on monthly or quarterly or annual basis due to time and budget constraints) and can collect data on more consistent basis
Description
  • Image and sensor data will feed into models that will be stored and maintained by AI application
  • MV models will be developed to detect activities such as removal of goods from shelfs, packing of goods in bags and movement of the customer in real-time
  • Questions about product information answered by robot helpers moving around in the shop
Description
  • Data collection, the execution of models and addressing the outcome will be fully automated
  • New tasks (restocking, clean-up, potential theft etc.,) can be sent to staff phone, tablet or even overlayed smart glasses
  • Multiple ways of payment for goods – capabilities for autonomous stores in the future
  • Data collected will be used to improve AI models for more accurate predictions, reducing unexpected situations
Expected benefits Key value created