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Delivery Routing Application

An intelligent routing platform based on real-world data and quantum technology. The application will automate the route optimization of last-mile-delivery using machine learning and quantum algorithm. The algorithm takes customer orders and the required time window, available resources, road traffic, and operational constraints, to determine the best optimal routes and stopovers.

  • Client : Delivery Routing Application
  • Category : Data Science

features

  • Optimized Route Planning
  • Optimal Route Visualization
  • Scheduling and Inventory optimization
  • Data Driven Decision Making
  • Multiple Optimization Method
  • Admin Dashboard
  • Driver Application

Technology Stack

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What our clients say

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Ankit Chaudhary
- Sr. Full Stack Developer

Ankit showcased impressive Full Stack PHP skills while working on the Whistleblower Application from start to finish, and his communication was top-notch. He played a key role in getting the application delivered smoothly from the very beginning to the end.”

Tim Prinz

Whistleblower App

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Rajinder Kumar
- Full Stack Development

It was an absolute pleasure working with Raaj. He is very attentive to details, communication skills are really high and made everything so much easier. Raaj completed work very quickly and was able to help out in the process where we were unfamiliar with generally accepted practices.

Tim Prinz

Datenschutz Prinz GmbH

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Manish Kumar
- PHP Developer

Manish has truly excelled in his work, showcasing impressive skills in PHP front-end development. I recommend him for any front-end design and development projects. His technical abilities and communication skills are outstanding.

Tim Prinz

Privacy scanner

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Aida Ahmadzadegan
- CEO

AKRATECH was able to help my startup to build an MVP very quickly and they helped me to turn that into my first product which looks quite well. (more…)

Our Challenges / Solutions

Delivery routing Application faced the challenge of optimizing their delivery routes to improve operational efficiency, reduce costs, and enhance customer satisfaction. With a vast network of drivers and a wide range of delivery locations, they needed a solution that could consider real-time data and dynamic variables to generate optimal routes.

  1. Complex Delivery Network: The challenge was to develop a delivery routing application that could handle the intricacies of their network efficiently. The application needed to consider factors such as delivery time windows, traffic conditions, vehicle capacities, and specific customer requirements to generate optimized routes.
  2. Time-Sensitive Deliveries: The routing application had to be adaptable and responsive, constantly monitoring and analyzing real-time data to make quick route adjustments in case of traffic congestion, accidents, or delivery address changes. Ensuring timely and accurate updates to drivers and dispatchers was critical to maintaining operational efficiency.
  3. Cost Optimization: The challenge was to strike a balance between minimizing travel distances, reducing fuel consumption, and maximizing the utilization of available resources while meeting customer expectations and delivery deadlines.

We utilized quantum computing capabilities to perform complex calculations and generate optimized delivery routes.

  1. Data Integration: We integrated real-time data sources, including traffic information, weather conditions, customer preferences, and historical delivery patterns. This comprehensive data allowed us to create a dynamic and accurate representation of the delivery landscape.
  2. Quantum Computing Analysis: Leveraging the power of quantum computing, our platform analyzed the vast amount of data collected. Quantum algorithms were employed to calculate the most efficient routes, considering multiple variables simultaneously.
  3. Real-time Optimization: The platform continuously monitored the data streams and adjusted the routes in real time. This allowed for dynamic adjustments based on changes in traffic, weather conditions, or unexpected events.
  1. Cost Savings: Optimized routes reduced fuel consumption and vehicle wear and tear, resulting in significant cost savings for our Logistics.
  2. Faster Deliveries: The platform’s real-time optimization enabled faster deliveries by avoiding traffic congestion and taking advantage of alternative routes.
  3. Enhanced Customer Satisfaction: With faster and more efficient deliveries, our delivery routing Logistics improved customer satisfaction levels. Customers received accurate delivery estimates and experienced fewer delays.
  4. Scalability: The platform’s scalability allowed our application Logistics to handle increasing delivery volumes without compromising efficiency. The quantum technology utilized ensured that computational power could scale alongside the growing demands.
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