Lessons from failed ecosystems

Published on May 29, 2024

Last week, I was with a client, and we had a very interesting conversation that can be summarised as “You talk a lot about current trends, but failures are actually as interesting, if not more”. And, I must admit that this is quite true: I tend to focus on the future and the latest trends. That’s maybe a form of optimism you must develop to survive the waves of hypes and crashes of the (agrifood)tech industry. So, today, let’s have a look at some “failed ecosystems” and what we can learn from them:

1 – Full-stack delivery: you can’t be good by doing everything yourself

Here, we go back to the pre-history of FoodTech, before the word was really used for anything other than advanced cookware.

  • What was the promise? Controlling the entire value chain of cooking and delivering meals, from the supply of ingredients to recipes to having in-house drivers.
  • Who was the leader? Munchery in the US with $125M raised (founded in 2010, complications appeared in 2015, went bankrupt in 2019). It started out of San Francisco, and with cash in hand, it opened many other cities, only to shut them down later on. Freshly acquired by Nestlé for $1B, it also requires a special mention.
  • Why did it fail?  High operating costs (central kitchens tend to be expensive to operate), obvious lack of economies of scale and competition from restaurant delivery startups (Deliveroo, DoorDash, etc.), which connected restaurants, drivers, and consumers through a platform which ultimately offered much more choice.
  • Is there any hope? Not really. A good summary would be to point out that Munchery relaunched as a recipe website.

2 – Vertical farming: oops, the energy is not getting cheap

While not all vertical farming startups failed, many went bankrupt, and most of the others have had to revise their growth strategy.

  • What was the promise? Growing produce, notably leafy greens, in or close to city centres in vertically stacked indoor farms.
  • Who were the leaders? No clear leader, but the most striking example of failure may be InFarm in Europe and AeroFarms in the US. Combined, they raised about $900M.
  • Why did it fail? In many instances, these startups tried to scale too fast while they were far from being profitable. This was compounded by the rise in the price of energy. Similarly to the previous example, many of the initial players were trying to operate the whole value chain: developing their own proprietary technology, building large-scale vertical farms, dealing with retailers, and creating their own B2C brand.
  • Is there any hope? Yes. As for full-stack delivery players being replaced by restaurant delivery startups, we observe the emergence of categories of players focused on specific points of the value chain, such as technology providers (such as IGS), software management tools, or high-value propositions (Oishii).

3 – The connected kitchen: the definition of a pipe dream.

  • What was the promise? For the past 15 years, I have heard about amazing new robots, cooking devices and connected fridges coming from Las Vegas CES…. and yet none has yet materialised in my kitchen.
  • Why did it fail? Beyond price and the lack of interoperability (different brands never agreed on a single “protocol”), these devices have a long lifespan (imagine the experience of finding updates for your 10-year-old fridge using a similarly old tablet).
  • Is there any hope? There are still new connected fridges being announced at CES, this time with AI…

As you can see in the first couple of examples, vertical integration is rarely a good option. Funnily enough, when a trend appears, startups that raise the largest amount of money are almost always fully integrated because of the lack of existing players segmenting the value chain. They also tend to disappear when companies with more focused business models appear. Another point these “failed ecosystems” have in common is what we could call “diseconomies of scale”, where their costs increase faster than their revenue.

While this is not a recipe for success, it provides some patterns to look for in current trends and innovation ecosystems.

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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.