Access and use of services, applications, software, websites, content, data, platforms, APIs or other materials as referenced in the applicable terms (“ADIONA Materials”) by you or your customers, End Users, subcontractors or agents (“you” or “your,”) is subject to this Acceptable Use Policy (“AUP”). This Acceptable Use Policy applies to agreements effective date as of the 2nd of February, 2021.
Winning this inaugural award at the 60th Annual ASCLA event reinforces the demand for innovation and sustainability solutions that the supply chain industry is no longer just asking for, but demanding. Read Adiona CEO Richard Savoie's thoughts on what it means for the future.
The route optimization software knows that no matter what delivery tasks you have, the pizza place is always first and the flower shop is always last—therefore routing the driver to those locations in that order drastically reduces lead times in your deliveries. The software also takes into account any relevant landmarks or areas for which drivers must take a different route, as well as one-way streets, stop signs and traffic lights to further reduce lead times.
This video will show you how Adiona’s platform can be used to support microfulfilment centers, pickup/dropoff points such as lockers, ghost kitchens, electric vehicles and sidewalk vehicles, and hybrid fleets including bikes, walkers, and even autonomous mobile robots and drones.
Here are the latest updates that will be released in August 2022. They are currently available on your SANDBOX environment and we suggest you check them out before release at the end of August. This is your first notification and we will follow up with further knowledgebase tutorials and videos before release.
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.
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.
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.