1Do you model Driver's working hour constraints and vehicle capacity constraints while planning?
Absolutely!, Optimal planning while respecting driver's working hours, expected offloading times along with vehicle's capacity limits is key to generating a plan that can be readily deployed on ground. Our TMS incorporates such constraints effectively.
2Sometimes certain vehicles are authorized to carry certain products or only deliver to certain regions, Is this something the model factors in?
We factor in geographical constraints as well as 'Taint' Matrix rules to ensure the vehicles only carry products they are authorized to carry(e.g you wont carry a detergent and a food product together is you that's what you need). Our model also factors in geographical constraints to ensure drivers are sent to areas where they are allowed to go, rest assured, we know real-life limitations on transportation planning.
3How would this solution integrate with our existing systems managing delivery operations?
We offer native integration with systems like SAP and allow you to run our TMS in isolation to help you build trust on the product.
4Where's the catch, What is the biggest challenge in such implementation
Like all technology, the biggest challenge generally boils down to building the right master data(e.g Delivery Coordinates of your delivery locations, Routing Rules Setup) and change management needed to let the system do the work for you. We don't just sell software, we will help you throughout the entire journey to make this work.
5How do you factor in expected traffic, Time it takes to navigate to the next drop off point?
Our TMS is integrated with Google Maps platform to ingest data on time and distance involved in travelling between drop off points, this factors in statistically demonstrated speed on those roads and traffic conditions.