🍴Are fresh meals delivered every day the future?

Published on June 13, 2022

Week after week, we observe the surge of new alternatives to the good old trip to the grocery store and home cooking. It is notably the case with numerous new “ready to eat” meal delivery startups. Many have recently raised capital (or are currently raising). We can divide these startups into at least 4 categories:

1 – The new meal kits: heat and eat
The most well-known category is made of startups selling fresh meals cooked and delivered at your door each week. These subscription services are numerous, with established brands such as AllPlants or Freshly (acquired by Nestlé).

More recently, we have observed a surge in the number of such startups created worldwide, for example, WeCook, a Canadian player that raised $40M last week.

2 – Specialised meal kits
As often, after (and in this case even during) the surge of services targeted to a general audience, we observe the arrival of more targeted services, for example:

From people doing sport (and then even more specialisation is possible depending on the sport), the more this kind of service will be adopted by consumers, the bigger the potential for specialised service will be.

3 – Personalised meals
Personalisation is one of the most interesting areas in FoodTech. However, it is also a very unpractical one. Available services and products cannot yet help consumers know what they really should eat or not. Hence, the promise of meals personalised to your needs is still some years away (some, such as Habit, have tried it, but it was a short-lived experiment).
Beyond that, personalisation based on your tastes also seems a bit complicated as it would dramatically increase the subscription cost.

4 – Private label brands for retailers
A last category of players is entering this market: old and new retailers. Indeed, both are working with or building their own virtual brands.

This week, for example, GoPuff, the US leading quick-commerce startup, announced that it was launching its first restaurant brand (pizzas). Other quick-commerce startups already list many fresh meals (some of them sourced from players in the first or second category listed above). This is also the case for traditional retailers, which are working with cloud kitchen operators to build their own virtual brands and offer fresh meals accessible every day in their stores.

These startups go beyond the “old” meal kit (such as HelloFresh or Gousto) or faster grocery delivery. They offer the “ultimate promise”: fresh food, more or less personalised to your taste, and delivered at your door.

These brands are neither retailers nor foodservice brands. They are mixing the two in something much closer to CPG brands. However, they are also much more agile than “old” brands. They adapt their offering each week, create a strong link with the consumer, and often use more than one channel to reach them: subscription (with a box delivered each week), B2B, retail stores or delivery platforms.

Looking at this space, it is almost obvious that opportunities are huge. For entrepreneurs, many specialised markets are untapped (people with special needs, either in terms of nutrition, taste or marketing). For F&B companies and retailers, it could become a significant opportunity to capitalise on their brands and create new channels.

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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.