Duration
Type
Role
Quantum Vehicle Route Optimization
Create a Vehicle Route Optimization dashboard for a beverage company, to deliver and monitor their products, with high customer satisfaction and minimising the operating cost in real time.
PROJECT 01
6 months
Team project
UX research, wireframing
Designing for the right expectations
A POC to showcase the power of quantum computing to attract the buyers.
Classical vs Quantum
Showcase the comparison of the performance
Quantum limitation
Developing a commercial proposal that demonstrates the potential power of the quantum computer, which is still in its nascent stage.
Subtlety
Designing the dashboard for quick responses and good user experience while not overwhelming user with its complexity.
User Persona
Bio
Experienced in identifying the optimal route for logistics.
Highly skilled with Classical Vehicle Route Optimization tool.
Goals
To generate optimal route for a zone with large number of variables and constraints.
To manage the fleet telematics at real time.
To be able to make last minute changes at real time.
Responsibilities
Defining and identifying the routes for the trucks.
Managing the fleet efficiency.
Needs
A real time data for fleet telematics.
An effective dashboard to view all the information for the logistics.
To make last minute changes in real time and configure new routes in real time.
Bulk configuration.
Douglas Wills
Logistics Manager
Douglas is a Manager at a beverage company. His role is to ensure that all the products from the factory is successfully delivered in time to the vending machines at the zone allocated. With large number of variables affecting the delivery time and last minute changes, it is difficult for him to plan the most efficient route for the logistics.
Touchpoint Analysis
Pain Points
Flow
Gain Points
Deciding the number of trucks available for the products
Confusion in selecting from many routes generated.
Longer optimization time denies flexibilty in changing constraints.
Limited Number of contraints
More number of constraints for better optimization
Auto generate number of trucks required based on the number of products
Flexibilty in reconfiguring routes at any point of time
Configurator
Dashboard
Delivery Analytics
Configure new routes
Set preferred time and date for delivery
Select products and quantity
Set constraints
Optimize routes
Quantum vs Classical performance graph
View/Select the recommended optimal route generated
Number of trucks automated
as per product quantity
Check previous configured routes data
Select number of Trucks manually
Option
Number of Trucks
Vehicle Route Optimization
Key Consideration
UX/UI | Wireframing
Opens the dashboard
Sets date
and time of delivery
Selects products and numbers of trucks available
Sets the delivery constraints
Optimizes Route
Views number of routes generated
Selects Optimal/Desired Route
Monitors the Dashboard in realtime
Need to configure new routes
Focused
Planning
Focused
Provide requirement
Feels the need for verification
Many routes to choose from
Confused which one to choose from
Analyse
Inquisite to check
the details
Track all details at one place
Happy and satisfied
Identifying the constraints
Irritated with limited constraints
What is next?
Longer wait time
Anxious and iritated
To develop a Vehicle Route Optimization proof of concept.
Our goal is to satisfy client preferences for time windows and delivery constraints while minimising operating costs for the vehicles. This improves customer satisfaction while lowering operating expenses and the percentage of deliveries that fail.