Enhanced Supply Chain Decision-Making
The physical environment is optimised utilising data from our Warehouse and Transport Management Systems (WMS and TMS). Software-based optimisation tools are the workhorses that ensure the data collected can be turned into actionable insights that enhance decision-making.
Data Collection
- Multiple inputs – devices, robots, sensor
- Centralised into WMS/TMS
Algorithmic Analysis
- Data reviewed to derive insights
- Objective to optimise tasks and resources
Data Driven Decision-Making
- Route optimisation
- Where best to place inventory in the warehouse
- Defining transport routes
Track and Monitor Assets Using Sensors (Internet of Things)
Knowing, at any point in time, where a certain product is in the supply chain, and what condition is it in, is critical for many industry sectors. For example, the assurance that a vaccine has remained at the correct temperature throughout the entire supply chain is vital, along with information about exactly when the shipment is going to arrive.
Data-driven planning and decision-making for today, tomorrow and next year
Data leads to insights and allows for informed decision-making. By having insight into all the different items on an order, knowing how many employees are available and how many robots are active, a resource footprint can be fixed for the most efficient utilisation. Data-driven plans could also be time-based – ensuring utilisation of the right mix of resources to fulfill orders as fast as possible.
