Trends: The retail supply chain industry is able to maintain a centralized storage system by leveraging the cloud and is eager to enhance autonomy and automation with RPA and AI-powered solutions.
Centralized Data Warehouse: Cloud-based SCM1 is leveraging cloud horizontally at the enterprise level, thus enabling retailers to maintain a central data repository by helping them enhance supply chain visibility and streamlining operations
Related Use cases: • Demand-Supply Forecast • Real-time Product Tracking • Automatic Inventory Management
Warehouse Automation: Automated Customer Fulfilment Centers To cater to the high volumes of online orders with precision, high-scale automation has become inevitable for retail companies.
Related Use cases: Automated Guided Vehicles • Picking Robots • Modular Sorters • Shipment Scheduling and Tracking using RPA
Intelligent Modelling: Digital Supply Chain Twin Modelling a supply chain by leveraging digital twin technology with retailers’ own data provides higher accuracy and helps in performance simulation and prediction.
Related Usecases: • Supply Chain Performance Simulation • Intelligent Transportation Planning • Contingency Planning
Centralized Control Towers: Autonomous Supply Chain Autonomous control towers with real-time visibility in the supply chain act as a digital governor of the complex system and helps retailers solve coordination challenges as well as avoid disruptions
Related Use cases: • Autonomous Supply-Demand Matching • Anticipatory Shipping • OTIF2 Optimization • Real-time Supply Chain Modifications
Last-Mile Automation: Delivery Drones/Robots to avoid human errors, manual delays, and facilitate low human contacts; retailers are testing & deploying drones and robots in last-mile deliveries
Related Use cases: • Touchless Delivery • Autonomous Delivery Drones • AI-based Route Optimization
- Cloud Platforms
- Information Modelling Tools
- RPA Tools
- Digital Twin Platform
- AI/ML Platforms
- AR/VR Devices
- IoT Platforms