Recently we showed you how Adiona’s platform can be used to support microfulfilment centers, ebikes, and dense urban hybrid modes, so please check out that video, too. Today I’m going to show you how you can plan deliveries with different kinds of vehicles at different depots and run experiments using real world operations and traffic data. Check out the video below and read on for the breakdown of it.
You undoubtedly have an excellent notion of how supply chain visibility helps businesses like yours. But exactly what benefits does it offer? For lack of a better phrase, you can only fix a problem if you know it exists and figure out where it's coming from. Production and quality control problems can occur on the other side of the world due to the global nature of today's supply networks.
Adiona’s platform and APIs automatically calculate the carbon emissions of your logistics routes so you can continuously and strategically monitor your Scope 1 emissions. In this blog, we’re going to look at how to use these measurements as inputs to optimize your low emissions vehicle strategy, pilots, and purchasing decisions.
Some of them are a bit obvious to a human, but they wouldn't be obvious to an ETL script. You'd need to manually select the field and map it to the corresponding field in the tool you want to use. For example, "Delv_Qty" here would be "Quantity" in Adiona's system. Then you'd also need to ensure the units of quantity match, for instance maybe the source field has two decimal points but the target field needs to be an integer.?
Who would you blame if you get a delivery of a damaged item or a different item than you have ordered? Logistics management, right? Logistics management is responsible for every aspect of the supply chain management system from organizing, planning, managing delivery processes to moving and storing goods in an optimized and simple way.
This can be done by combining dynamic route optimization and network planning with TCO inputs and performing higher level optimizations to reach suggestions for where and when ZEVs can be substituted into the network.
Clean, well-structured data is one of the biggest barriers to efficiency and cost-reduction programs according to supply chain and logistics orgs. And while it is still far from perfect, cleaning data is getting easier thanks to machine learning. Tools like Adiona's Diagnostics APIs help to improve the traditional Extract-Transform-Load (ETL) process by automatically detecting and sorting data from complex systems like ERPs and TMS'. Traditionally, ETL is a highly manual process dominated by tools like Excel.
Australian clean energy technologies - and the high-potential startups behind them - were on show yesterday as the US Ambassador to Australia, Caroline Kennedy, visited climate tech startup accelerator EnergyLab in Sydney.