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Tech for Retail 2024: Innovations Transforming Food Retail

Tech for Retail 2024 in Paris showcased groundbreaking food retail innovations, emphasizing how technologies like AI, data analytics, and in-store digitization are transforming physical stores, customer experiences, and omnichannel strategies. Sesamers explored how these advancements are shaping the future of food retail technology.

Check out our latest article highlighting the best food retail startups spotted at Tech For Retail 2024 here.

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The return of the physical store in Food Retail innovation

Digitization of physical stores

In recent years, investments in retail digitization primarily focused on e-commerce and back-end processes, leaving physical stores behind. However, the next decade will see a significant shift as physical stores undergo a technological transformation.

Why Now?

  • Changing consumer habits: Shoppers expect seamless experiences, healthier options, competitive pricing, and variety.
  • Efficiency of store space: Retailers are rethinking large store footprints, transforming them into logistics hubs to support cost-efficient omnichannel operations.
  • Omnichannel integration: Physical stores are reclaiming their place as key hubs in omnichannel strategies.
  • Technological advancements: More mature, accessible, and affordable technologies now allow retailers to leverage automation and data.

Innovations like digitized store operations, connected retail, and data-driven commerce are enabling retailers to reimagine the role of physical stores.

Food Retail media: the evolution of in-store advertising

From posters to digital campaigns
The era of static in-store advertising is fading, giving way to dynamic digital solutions. Companies like Vision Group are pioneering these changes with tools like “Engage,” which enables retailers to:

  • Run precise, real-time marketing campaigns at the shelf level.
  • Deliver personalized digital content to shoppers.
  • Seamlessly integrate with existing store setups, ensuring these innovations feel natural rather than gimmicky.

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Retailers face the challenge of balancing modern digital tools with familiar elements to maintain a comfortable and engaging shopping environment.

Artificial Intelligence: experimenting with potential

AI continues to be a focal point, with retailers experimenting to identify the most impactful applications. The focus at Tech for Retail 2024 was on practical use cases, such as:

  • Supply chain optimization: AI helps retailers anticipate disruptions, optimize inventory, and enhance forecasting.
  • Local marketing strategies: Personalized campaigns driven by AI are transforming how retailers engage customers.

Case study: Carrefour’s Hopla
Carrefour introduced “Hopla,” an AI-powered chatbot built with OpenAI technology, to enhance the shopping experience:

  • Hopla creates shopping lists based on budgets and dietary needs.
  • It suggests healthier alternatives for products in customers’ carts.
  • It plans weekly menus using seasonal ingredients, reducing decision fatigue for consumers.

Hopla demonstrates how AI can combine practicality with consumer-centric features to build loyalty and efficiency.

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AI in product development
In 2023, Coca-Cola released “Year 3000” a product co-created with AI, showcasing its role in trend-driven product creation.

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Startups like Beink Dream, winners of the Tech for Retail Startup Award, leverage AI to transform ideas into visuals and refine them in real time. Their technology has been used in the CPG industry to create innovative packaging designs.

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Data: the foundation of modern retail

Retailers are transforming into data powerhouses, but the emphasis is shifting from raw data to actionable insights:

  • Predictive analytics: Leveraging data to anticipate demand, manage supply chains, and optimize inventory.
  • Personalized offers: Using customer data to create targeted, meaningful interactions.

In an era of supply chain volatility and rising consumer expectations for efficiency, actionable data has become indispensable.

Personalization and ROI-driven innovation

Food retailers are not just seeking technology; they are demanding value-driven innovation that aligns with their operational needs.

  • Efficiency and usability: Solutions must demonstrate clear ROI, be user-friendly for employees, and enhance the customer experience.
  • Personalized consumer journeys: Retailers aim to activate the right touchpoints at the right moments, tailoring offers and experiences to individual shoppers.

Innovation must go beyond flashy concepts—it needs to prove its relevance and impact.

Conclusion

Tech for Retail 2024 highlighted that the future of food retail is a fusion of technology, innovation, and consumer-centric strategies. Physical stores are reclaiming their importance as hubs of data, logistics, and consumer engagement.

Entrepreneurs and retailers must focus on solutions that are cost-efficient, intuitive, and impactful for both businesses and consumers.

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Fundraising 4 hours ago

London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

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