GXO wanted to build a new reverse supply chain platform for a group of large UK based Supermarkets, to modernise how the workflows and data could be accessed from anywhere, on any device, at any time.
The sheer number of individual assets and the value of those individual assets meant that the cost of using an IoT based tracking system was not cost effective, at the same time the system needed to provide a high degree of accuracy of asset tracking data.
As can be expected of a reverse supply chain, the groups of users that needed access to the system, included a large number of external parties to GXO, who needed to know very specific information about their own assets numbers and locations.
The development team at Sauce spent a period of time upfront with GXO, including site visits etc to learn about all parts of the supply chain processes to understand the lifecycle of individual assets. From there both GXO and Sauce were able to discuss the challenges involved and start to formulate solutions to each of those challenges.
The GXO and Sauce teams worked as a collaborative team throughout the lifecycle of the project. The teams went through several development spike periods, where GXO were able to test MVP features with real world user groups to gain valuable feedback, and that helped to drive the development and direction of the platform.
At any moment in time GXO, their clients, suppliers or wash sites are able to see an exact snapshot of data so they can understand their needs, in terms of levels of assets, and their tasks. As well as that, using a prediction model, it is possible for GXO to understand where potential future issues may arise in the reverse supply chain.
All of the system is built to work on mobile devices up to desktop devices, so can be accessed anywhere at any time.
The data is also accessible to the GXO data lakes, so that additional reporting can be completed.
GXO Command was launched in February 2022, with Argos being the first group to use it.
The Command platform gives both GXO and their clients the ability to understand the data behind their assets, giving them the ability to confidently know where assets are at any given time, and to be able to also predict when assets movements need overriding to handle slow downs of the supply chain.
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