🍲 🖥️ The future of the restaurant

Published on March 20, 2024

Restaurants don’t get the same attention as other areas of the food value chain when considering innovation.  Owners prefer (quite understandably) to talk about what’s on their plates rather than what’s happening in the kitchen to make the operations more efficient. However, the future of the restaurant is something really important for the whole value chain as most food innovations, either in the food products, digital services, or ways to interact with customers and suppliers, start inside restaurants. Indeed, they are small, agile operations keen for innovation to supply them with a competitive edge.

 

As shown above, there are trends all along the innovation curve, from digital tools used by most restaurants nowadays to B2B marketplaces, which are still emerging (more information on trends shaping the future of food in our trends report).

These restaurant trends are all answers to the three challenges that restaurants are already facing:

  • Rising demand for more sustainability, notably through food waste management;
  • Lack of labour in developed economies, which is answered by offering benefits to employees, better HR management, and, in the long-term with robotics;
  • Providing healthier and more transparent items to their clients (even if compared to other food categories, consumers are less impacted by these demands as clients tend to see restaurants as places of indulgence).

If we look in depth at the different categories of players setting up the future of the restaurant, we identify three main challenges:

1 – Creating better relationships with customers

  • 📱 Booking a table and restaurant discovery: the “ancestor” of FoodTech with startups such as The Fork and Open Table. New players have recently been trying to reinvent the customer experience with new apps and services.
  • 💻 Online ordering services are helping restaurants manage their online presence and also create their own takeaway and online delivery services.
  • 💳 Pay-at-table startups emerged in the post-COVID world as an obvious solution to the lack of workers and our desire to limit interactions. However, their success is quite limited compared to the investments that went into their development.

2 – Digitising the restaurant

  • 🏧 Payment services, HR management, and restaurant management startups operate along blurry lines. While there are specialists in each category, these mostly mature players are now becoming one-stop shops offering all the features a restaurant needs.
  • 🛵 Online order management: as the number of restaurant delivery platforms increased, so did the number of tablets in restaurants. Startups such as Deliverect appeared to manage orders from all sources.

3 – Creating the kitchen of the future

  • 👫 Managing relationships with suppliers: companies created around the COVID pandemic are trying to streamline this supplier-buyer problem; either by creating new, digital-first suppliers, or by setting up a unified communication channel between a restaurant and all of its suppliers (Choco), or by digitising suppliers one by one.
  • 🍎 Foodwaste management: startups address this challenge with multiple solutions. One of the most elegant is the development of smart bins such as Winnow, which tell a restaurant what has been thrown away, which can, in turn, lead to better supply and inventory management.
  • 🤖 Robotics: The first wave of restaurant robots mostly failed (too complicated, too expensive) and a new generation of players is appearing. They have developed modular kitchen solutions designed for canteens or cloud kitchens and can cook a wide range of products (often rice and pasta bowls).

Now, what’s next?

  • Short term: out of the few startups mentioned around digitisation, many are already unicorns (valued at more than $1B), while Toast had a successful IPO. These companies are growing really fast, showing the potential for more innovation in helping restaurants digitize their operations.
  • Medium-term: there is still much room for improvement, notably in the upstream part (supplier/inventory management) and waste/sustainability part of the value chain. This is where we would expect growth and innovation in the near future (3-5 years).
  • Long-term: robots are promising solutions, but they have yet to be proven worthy of the investment required at scale. The lack of labour will inevitably lead to greater automation of restaurant operations, so they are a safe long-term bet (choosing the best startups in this space may be a bit more tricky).

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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.