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Presence prediction for successful first delivery attempts

Green Convenience is the first application that uses artificial
intelligence to automatically match delivery windows.

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What is the
last-mile problem?

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20%

of delivery attempts
fail worldwide

25%

increase in delivery
costs & emissions

53%

total delivery costs
are due to the
last-mile problem

&

Your customer
relationships suffer
from it

Make your delivery 45% more efficient.

Lower delivery costs - Lower emissions - Happy customers

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Why presence prediction?

Why presence prediction?

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Increased efficiency

  • Reduced delivery attempts
  • Reduced operational costs
  • Multiple delivery time windows
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Better delivery experiences

  • Increased convenience
  • Faster delivery
  • Increased quality & security
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This is what we do

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Sucessful first delivery attempts

Ensuring direct handovers, which improves speed, quality & privacy

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No effort - No waiting

All delivery time windows are automatically generated & updated

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Greener delivery

Less delivery attempts save carbon emissions from delivery trucks.

“Together with Green Convenience, we can take our delivery to a new level on the first try”

Founder and Managing Director

Felix Dossmann

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“Not only are the costs for parcel services reduced, but the service that the recipient can experience is also increased.”

Lead Research Associate Urban Logistics

Maximilian Engelhardt

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"We see Green Convenience as an important driver for solving unsuccessful delivery attempts in last mile logistics."

Senior Project Manager

Susanne Theilacker

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"Green Convenience Al utilizes a new technology to ensure successful first delivery attempts"

Communications Specialist

Giulia Busolin

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"We believe their solution is coming to market at the right time and has great potential."

Head of Community

Hugo Paquin

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"We are looking forward to further cooperation in this exciting and visionary project!"

Head of Lab

Prof. Dr. techn. Heinz Koeppl

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Aligned with the Sustainable Development Goals

Sustainable cities & communities

Successful first delivery attempts ensure less emissions and an improved air quality.

Decent work & economic growth

We are saving costs for delivery providers and promoting delivery economics.

Responsible consumption & production

Our customers contribute to sustainability by saving resources related to deliveries

Good health & well-being

Delivery related emissions lead to increasing premature deaths from various diseases.

Partnerships for the
goals

We are partnering with highly credited institutions to develop our goals.

Industry, innovation & infrastructure

Our innovative approach leads to a more efficient infrastructure and progressive industry.

Combat climate change
& its impacts

Green Convenience takes urgent actions to combat climate change and its impacts.

Sustainable cities & communities

Decent work & economic growth

Responsible consumption & production

Good health & well-being

Partnerships for the goals

Industry, innovation & infrastructure

Combat climate change & its impacts

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Frequently asked
questions

Green Convenience offers online retailers and delivery services an add-on for apps that automatically ensures the success of the first delivery attempt.

Every delivery system works! Doesn’t matter if you have it is transport management, tour planning or a routing system, our software can be integrated into every system via API - completetly without any additional barriers!

We have different pricing models depending on delivery and parcel volume. Please contact the sales department here to get a
detailed insight into the prices and an individual solution.

A suitable solution should have 5 essential features. You can find a comparison of our solution with other approaches on the Features site.

The Last-Mile Problem (LMP) is the phenomenon that the last mile is the most inefficient and environmentally damaging stage of the B2C supply chain.
For this there are 2 main reasons:

1. Failed delivery attempts - one in five deliveries around the world fail, increasing delivery costs and emissions by 25% and worsening the delivery experience.

2. Delivery window dilemma - long delivery windows strain relationships with customers as they don't like to wait.
On the other hand, short delivery windows lead to inefficient routes and are more difficult to guarantee.

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