Last Mile Fleet Challenges and Solutions

Last mile fleet delivery comes with several challenges and several best practices and solutions. Let’s understand first the problem statement in real life day to day use cases.

Last Mile Fleet Challenges

  1. Incorrect Customer Delivery Addresses
  2. Incorrect PIN location recorded or calculated via technology.
  3. Complex Customer Delivery Locations
  4. Unpredictable and incorrect route estimations.
  5. Complexity in estimated delivery time calculation and undefined promise time for business.
  6. Country wise restrictions with the GIS service providers.
  7. And many more GIS usage related challenges for the delivery person/driver/rider to deliver.

These are some challenges faced by retail, e-commerce, food-technology, taxi business etc. and dealing with their own ways to get the accuracy via technology and operations in business.

Solutions can be multiple per business use cases for the GIS services and experts are still struggling to provide stable solutions to the business.

Last Mile Fleet Solutions

  1. Google Maps Services with operations mapping to resolve the issues.
  2. Capturing the locations via rider mobility and/or vehicle tracking enablement.
  3. Using map overlays with multiple maps services using local GIS providers in various countries.

Last Mile Fleet Value Additions

  1. Making drivers more efficient at their jobs saves money in the form of driver labour, fuel, and vehicle depreciation.
  2. It also makes drivers happier, especially if they’re paid per delivery.
  3. Operations like dispatchers, customers service personnel making them more efficient or lowering their workload saves money.
  4. Keeping drivers happy through helpful tools and support lowers churn, which is important given current driver shortages.
  5. Keeping drivers raises productivity, lowers training costs, and provides a better customer experience.

Will continue to share technical implementations to deal with these types of challenges. Feel free to post your queries and further views to keep improving the GIS services with this blog.

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