SaaS management system

using drones for deliveries

01

Introduction

Vehicles cause about 75% of urban carbon monoxide pollution

Vehicle fossil fuel combustion emits pollutants like carbon monoxide and nitrogen oxides causing smog,

lower air quality, and health issues.

Using drones for deliveries can help with:

Reducing the

environmental footprint

Reducing traffic jams

Reducing air pollution

Time inefficiency

Dragonfly is a SaaS management system

using drones for deliveries

02

Benchmark

There are 2 main companies in the market today

Wing, a Google subsidiary, pioneers autonomous drone delivery, cutting traffic and carbon emissions, transforming transportation and logistics.

FLYTREX innovates last-mile delivery with autonomous drones, enhancing urban logistics' efficiency and eco-friendliness.

Product and drone

service provided

Control of drone and full delivery process

Business Model

B2B

B2C

B2C

03

Research

Note:
I couldn't access Wing and Flytrex systems. So, I studied other delivery companies without drones and adapted their systems for drones.

Interviews

Hagai

Pizza delivery manager

It is important for him to know:

  • Exact time of order placement

  • Tracking capabilities

  • Customer contact details

Ariel

Manager of a successful store on Amazon

It is important for him to know:

  • The percentage of deliveries that arrive on time

  • The percentage of shipments that reach customers

  • Average shipping prices

Examination

I researched two delivery management software:

“Wolt” and “Yango deli”, and through a delivery person,

I obtained screenshots of the two systems.

Marco

Delivery person

The application has 4 screens that describe:

  • Collection

  • Arrival at the customer

  • Handover

  • Return to the warehouse

Screenshots from applications that the delivery guy uses:

04

Personas

Ayala

Restaurant owner

Current shipping method costly: fuel, wages, insurance, maintenance. Traffic delays lead to late deliveries, dissatisfied customers.

Painpoints:

  • Managing a restaurant requires a lot of expenses

  • Many deliveries are delayed due to traffic jams

Goals:

  • Save money on current expenses

  • Optimize the system of deliveries so that they reach the customers on time

Yossi

Delivery employee

Delivery system problems: Workers often miss shifts, food gets cold during delays, customers complain. Many delivery workers are young and change jobs frequently.

Painpoints:

  • It is difficult to make decisions without accurate tracking of the orders

  • The workers in the delivery system are unstable and miss days of work

Goals:

  • Efficient management of orders

  • Create a stable work system that will always meet the goals

05

Onboarding

To start, the restaurant owner will scan his menu. The system then offers him suggested time calculations for each dish so that he can accurately predict the timing of the delivery. He can alter the times as needed.

06

How Does It Work?

The system has 3 sides:

End user

Client - a business

For example - a restaurant

uses a system to manage the delivery system in his business

Superintendent

Management dashboard for all customers using the system

We will focus on this side

Main user flow:

On a regular basis, the system will calculate the most efficient and fastest route for a shipment to reach the customer.

All the worker has to do is load the packages into the drone.

Loading

area

pairing

Choose

action

search order

start scaning

scaning path

alerts

07

Features

With a click of a button, you can control the timing of deliveries based on your restaurant’s capabilities.

08

Summary

Efficiency

Automation

Monitoring and Supervision

Thanks For Watching!

Tools I used:



Figma

Illustrator

Animate

Blender

SaaS management system

using drones for deliveries

Vehicles cause about 75% of urban

carbon monoxide pollution

01

Introduction

Vehicle fossil fuel combustion emits pollutants like carbon monoxide and nitrogen oxides causing smog,

lower air quality, and health issues.

Using drones for deliveries can help with:

Reducing the

environmental footprint

Reducing traffic jams

Reducing air pollution

Time inefficiency

Dragonfly is a SaaS management

system using drones for deliveries

02

Benchmark

There are 2 main companies

in the market today

FLYTREX innovates last-mile delivery with autonomous drones, enhancing urban logistics' efficiency and eco-friendliness.

Wing, a Google subsidiary, pioneers autonomous drone delivery, cutting traffic and carbon emissions, transforming transportation and logistics.

Product and drone

service provided

Control of drone and

full delivery process

Business Model

B2B

B2C

B2C

03

Research

Note:

I couldn't access Wing and Flytrex systems. So, I studied other delivery companies without drones and adapted their systems for drones.

Interviews

Hagai

Pizza delivery manager

It is important for him to know:

  • Exact time of order placement

  • Tracking capabilities

  • Customer contact details

Ariel

Manager of a successful store on Amazon

It is important for him to know:

  • The percentage of deliveries that

    arrive on time

  • The percentage of shipments that

    reach customers

  • Average shipping prices

I researched two delivery management software:

“Wolt” and “Yango deli”, and through a delivery person, I obtained screenshots of the two systems.

Examination

Marco

Delivery person

The application has 4 screens that describe:

  • Collection

  • Arrival at the customer

  • Handover

  • Return to the warehouse

Screenshots from applications that

the delivery guy uses:

04

Personas

Ayala

Restaurant owner

Current shipping method costly: fuel, wages, insurance, maintenance. Traffic delays lead to late deliveries, dissatisfied customers.

Painpoints:

  • Managing a restaurant requires

    a lot of expenses

  • Many deliveries are delayed

    due to traffic jams

Goals:

  • Save money on current expenses

  • Optimize the system of deliveries

    so that they reach the customers on time

Yossi

Delivery employee

Delivery system problems: Workers often miss shifts, food gets cold during delays, customers complain. Many delivery workers are young and change jobs frequently.

Painpoints:

  • It is difficult to make decisions without

    accurate tracking of the orders

  • The workers in the delivery system

    are unstable and miss days of work

Goals:

  • Efficient management of orders

  • Create a stable work system that will

    always meet the goals

05

Onboarding

To start, the restaurant owner will scan his menu. The system then offers him suggested time calculations for each dish so that he can accurately predict the timing of the delivery. He can alter the times as needed.

06

How Does It Work?

We will focus on this side

The system has 3 sides:

Client - a business

For example -

a restaurant

uses a system to manage the delivery system in his business

Superintendent

Management dashboard for all customers using the system

End user

Main user flow:

On a regular basis, the system will calculate the most efficient and fastest route for a shipment to reach the customer. All the worker has to do is load the packages into the drone.

Loading

area

pairing

Choose

action

search order

start scaning

alerts

scaning path

07

Features

With a click of a button, you can control the timing of deliveries based on your restaurant’s capabilities.

08

Summary

Efficiency

Automation

Monitoring and Supervision

Thanks For Watching!

Tools I used:

Figma

Illustrator

Animate

Blender

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