Delivery Model and Execution
- AI camera installation across stores and centralized warehouse
- ERP integration for real-time stock synchronization
- Phased rollout across the full store network
Project Scope
| CLIENT | Matthews Liquor |
| MARKET | Australia |
| INDUSTRY | Retail |
| CATEGORY | AI Solutions – Smart Retail |
| TAGS | #SmartRetail #AI #RetailOps |
The Context
Multi-store retail operations bring increasing complexity, across inventory monitoring, merchandising consistency, and operational visibility. Matthews Liquor is an Australian liquor retail chain operating more than 10 stores and a centralized warehouse, supporting omnichannel operations with over 200+ SKUs and a 1-hour delivery service. As the business grew, traditional approaches to store management could no longer keep pace.
The Challenge
The most pressing operational challenge was the lack of real-time visibility across stores and warehouses. Existing operations relied on:
Manual observation
store monitoring depended entirely on staff-driven checks with no automated or centralized visibility
Fragmented reporting
data from stores and warehouse existed in silos, making consolidated insight difficult to achieve
Reactive decision-making
teams could only respond to problems after they occurred, not in real time
The Solution
Smart Retail delivered an AI-powered platform connecting warehouse and store operations end-to-end, with four core modules:
The Result
-6363%
reduction in pallet handling time — from 2 hours down to 45 minutes
5050%
of operational capacity unlocked for higher-value activities
≤ 98 98%
AI accuracy in visitor counting
Technology Stack
- Platform: Vizion Smart Retail
- AI: Computer vision for SKU recognition, behavior tracking, and risk detection
- Integration: ERP sync and real-time alerting dashboard
