Savi Retail Asset Management Solution
Maximizing the Utilization of Business Critical Retail Assets
The efficient operations of high volume retail supply chains are dependent on the availability of supply chain assets such as containers, pallets, racks, cages, totes, trays, trucks and trailers to meet the day to day operational needs of the retailer in supplier depots, retail distribution centers and retail stores. However, a lack of visibility to these assets as they move through the supply chain, or where they may be positioned when not in use, often results in misdirected, misplaced and inadvertent stockpiling of critical supply chain assets. Retail Enterprise Resource Planning Systems (ERP) and Warehouse Management Systems (WMS) are unable to track assets beyond the boundaries of the retail supply chain into the supplier base, and often times even into the retail store. This can cause a significant surplus of asset inventory leading to excessive capital expenditure or lease, rental and demurrage costs. To the other extreme, lack of visibility may also cause critical local shortages that impact both store and distribution center deliveries, and may even cause out-of-stocks at individual stores. Along with these concerns, excessive costs are incurred with an increase in transportation, demurrage and lease costs, as well as an over dependence on error-ridden, labor-intensive manual processes.
Savi offers a proven solution to overcome these common asset visibility and management challenges. The Savi Retail Asset Management Solution automatically collects data on retail supply chain assets as they are shipped to and from suppliers through distribution centers and to the retail store. The data is then managed and viewed in real-time, resulting in asset inventory information that is automatically kept accurate and up to date, with a significant reduction in labor costs associated with manual systems. Asset owners gain visibility into the total supply chain and as a result can monitor asset utilization, status, dwell times, and loss or breakage.
The Savi Asset Planning Scheduling and Optimization (ASPO) application, a component of the Savi Retail Asset Management Solution, manages the repositioning of assets to meet day to day needs. Forecasting for assets, based on both historical usage patterns and current orders, allows the Savi Retail Asset Management Solution to identify locations where there is an excess of asset inventory and identify other locations where there are asset inventory shortages and recommends economically justified repositioning to asset managers and controllers.
In addition, collaboration within the extended supply chain is enhanced as suppliers and retail stores gain visibility to deliveries flowing across the supply chain, enabling efficient supply chain collaboration and management.
The Savi Retail Asset Management Solution Delivers Customer Value With:
- Increased asset utilization and return on assets
- Reduced asset inventory
- Reduced capital investment, lease, rental and demurrage costs
- Increased revenue by providing better customer service
- Increased productivity through reduced manual processes
- Reduced transportation costs
Key Solution Features:
- Real-time asset visibility across the extended supply chain
- Configurable real time supply chain asset management processes
- Asset demand forecasting and recommended repositioning
- Exception-based real-time alerts for misrouted, stockpiled, or unusable assets
- Asset reservation, allocation and transfers
- Key performance measurements: cycle times, damage, utilization, etc.
- Role-based access and data security
- Interoperability with enterprise systems
The Savi Retail Asset Management Solution Components:
- SmartChain® Asset Management Application
- SmartChain Asset Planning, Scheduling and Optimization Module
- SmartChain Enterprise Platform
- SmartChain Site Manager
- EchoPoint™ Active RFID tags and readers (optional)
- AIDC technologies such as passive RFID, bar codes and GPS locating devices
- Implementation, training and support services
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