Robots are coming in (cloud) kitchens and in the streets

Published on September 8, 2021

Last week, we talked about the (many) challenges of the food delivery ecosystem. They can be summed in one question “how to be profitable?”. These services spend money on three items:

  • developing their app, marketing and services.
  • the commission to give back to restaurant owners
  • the cost of delivery

It is hard to see how the first item can be reduced. It may be split more evenly as they grow or enter new markets, but it is hard to see how to reduce it. However, the two other ones could be well reduced by greater integration and robotics. That’s why it is no surprise to see many deals in cooking robots and autonomous delivery linked to food delivery startups. Here are a few recent examples that illustrate this trend in the cooking robot industry:

  • Picnic, the much-talked-about pizza robot, recently said that it is now available for order. It is entirely modulable (you can add modules to widen the variety of pizzas it can make) and enables you to make up to 100 pizzas per hour. The robot will cost will start at $3,500 a month. It makes perfect sense for a cloud kitchen to have such a robot if it is both predictable and reliable. It could even make more sense in the kitchens of restaurants (which have an otherwise completely different menu and would operate this pizza robot as a virtual brand) that have some spare space and are ideally located in city centres.
  • Piestro, another automated pizza robot, this time in a kiosk, has made a deal that could be as big as 3,600 units with “800 degrees”, a pizza chain.
  • Sweetgreen, a growing chain of salad bars in the US, announced the acquisition of Spyce two weeks ago. Spyce is a robotic restaurant (with almost $30M raised). As Spyce technology is quite advanced and well suited for salads, it could be deployed at scale in the 120 locations of Sweetgreen.
  • Chowbotics, a salad-making robot startup, was acquired earlier this year by DoorDash, one of the US leaders in restaurant delivery.

The autonomous delivery space is also quite active with:

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