burger menu
✕
Subscribe
✕
Subscribe

Last-mile delivery with robots – dream or near-future?

Published on October 28, 2019

Last Thursday I had the opportunity to lead a panel on last-mile delivery robotics (for food) in Barcelona in an event organised by Jungle, a community of entrepreneurs working around the challenges of robofacturing. The audience was really curious and keen to learn more on robots and last-mile delivery and had many questions. Most of them were around 2 areas that I found relevant to share with you:

The social impact and acceptance of robots

If delivery robots are available tomorrow and are economically sustainable for last-mile delivery, what will happen of the thousands of delivery workers that we currently see in our streets? The impact of all those (in the majority) young men could be quite bad if all of them become unemployed.

And, on another level, if robots arrive in the streets, how humans will interact with them? Will I be fined if I kick one (accidentally, it would never cross my mind to rage over objects)? Living in Paris, a city where humans have already a hard time living with scooters, I can only imagine the outcome of those poor robots. Let’s hope they will be able to swim.

Robots v.s. Drones

Another interesting debate that animated our panel was on the respective roles of robots and drones. While one can imagine drones very useful to deliver bigger payloads between cities or to a remote location, they may be too insecure inside our cities. A couple of drones was enough to cause a huge mess in Heathrow, so what could happen with thousands of them?

Many infrastructure (and some smart regulation) remain to be invented and create an ecosystem where last-mile delivery could be realistically robotised.  This leads to the idea that it will certainly happen in more “future enthusiast” cities and countries than Europe’s. Even if our audience was made of tech enthusiasts, issues were brought first and opportunities second.

IMG 2310

Finally, the conclusion is that as in many cases with innovation, we only think about the use cases of robots as a potential replacement of jobs that humans currently perform. I do think that robots, especially in delivery, will have many impacts on new business models, new experiments that we currently just can’t grasp. So, even if the issues are numerous, let’s be optimistic.

Subscribe to our weekly newsletter

Abonnez vous à notre NL mensuelle en Français

Related posts

You're in a good company

Join the 60+ clients of Digital FoodLab: leading agrifood companies, retailers, banks, investors, startups, and public organisations.

✕

Use case: project for a global F&B company looking to map its AgTech innovation ecosystem and the best startups to partner with

What we did:

  • Mapping of the AgTech ecosystem: startups, research regulators, and other leading companies.
  • Discussion to select areas to focus on.
  • Analysis of the information to reveal the trends and a model to analyse eventual partners.
  • A workshop to validate the opportunities based on our recommendations.
  • Scouting of relevant partners followed by introductions.

Results:

  • Mapping the different categories of innovations in AgTech that should be considered now to create long-term benefits for the business.
  • Identification of key partners (an incubator and a couple of startups).
✕

Use case: project for a CPG company on the healthy ageing ecosystem

What we did:

  • Education of the board through a couple of workshops to define the perimeter
  • Identification of key opportunities and threats created by long-term evolutions (technologies, business models, behavioural changes).
  • Deep dives on each of the priority categories.
  • Co-construction of a vision on how the company should address these challenges.
  • Identification of partners (startups, incubators, funds) to move forward.

Results:

  • Creating a consensus on which categories to prioritise and how to address them.
  • Implementation of an open innovation strategy through the development of partnerships.
✕

Use case: project for a global CPG company to develop a strategy on the healthy ageing ecosystem

What we do (ongoing mission on a subscription model):

  • Kick-off where we present an overview of the AgriFoodTech ecosystem to select with the client the categories to cover and for each, the level of information required.
  • Monthly newsletter: each month we send a newsletter with the articles that we have gathered ranked by relevance, their summaries, and a layer of analysis.
  • Database: we set up a personalised database that will be filled month after month with the information gathered on the companies identified for the watch.
  • Workshops: twice a year with the client’s innovation team and other “innovation curious” team members, we present an overview of the evolutions, key trends and a dashboard of the topics followed by the watch.

Results:

  • A clear, regular and evolutive tool to follow what is happening in terms of innovation on key topics.
  • A forum (through the workshops) to discuss innovation trends and new opportunities.
✕

Use case: opportunity screening for an ingredient company

What we did:

  • Kick-off to define the perimeter of the ecosystem studied.
  • Mapping of the different trends shaping the innovation ecosystem of the client.
  • Analysis of the trends on DigitalFoodLab’s trend curve and other relevant frameworks.
  • Workshop to discuss DigitalFoodLab’s recommendations on key trends to prioritise

Results:

  • Shared view of the innovation ecosystem for the client with a view of the trends to prioritize.
  • Clear document (personalised trend curve) that can be easily shared internaly to explain the company’s innovation choices and which can be then updated each year.
✕

Use case: scouting for an agriculture coop

What we did:

  • Kick-off to define the perimeter of the client, the goals of the scouting (partnerships) and the criteria on which startups should be evaluated.
  • Set-up scouting: we selected the first batch of 20+ key startups following the criteria of the client.
  • On-going scouting: then we set up a quarterly scouting of about ten startups.
  • For each scouted startup, we created an ID card with key information such as the business and technological maturity, funding, and corporate partnerships. We also added an explanation of why we selected this startup.

Results:

  • An ongoing and evolutive scouting are matching the client's criteria and its capabilities in terms of deal flow.
✕

Use case: working on an acquisition process for a CPG company

What we did:

  • Kick-off to define what the client is seeking, notably in terms of maturity.
  • Workshop with the client based on a mapping of the different innovation ecosystems adjacent to its activities to select some priorities and discuss inspiring examples of startup acquisition stories.
  • Identification of 20+ targets.
  • Workshop to select the most relevant to engage with.
  • DigitalFoodLab worked as a sparing partner during the acquisition process, notably to help design how the acquired startup could be integrated into the overall company’s strategy.

Results:

  • Different results from traditional M&A processes with a focus on the client’s innovation strategy.
  • Identification of a good match for an acquisition.
✕

Use case: market due diligence on sugar alternatives

What we did:

  • Kick-off with the client to discuss its interest on this category, its expectations and existing level of information (notably on the target company).
  • Mapping of the ecosystem to analyse the different existing alternatives and technologies to compare them.
  • Interview (calls) with relevant startups made by our internal biotechnology expert.
  • Recommendation on whether to invest or not.

Results:

  • Clear view of the ecosystem and of the reasons to believe (or not) in each sub-category.
  • Enforceable recommendations based on facts and expertise.
✕
Get in touch

5 rue Paul Dupuy
75016 Paris, France