Artificial Intelligence (AI) in Foodservice – Thematic Research

The foodservice industry is beginning to realize the benefits AI can bring to the sector across the value chain. Investment, however, will primarily come from food aggregators, delivery companies, and large quick service restaurants (QSRs) that have both the financial capabilities and datasets necessary for success.

As in many other industries, COVID-19 has accelerated innovation in foodservice, forcing businesses to get creative and transition more quickly. AI has many sector-specific use cases that can help tackle some of the sector’s long-term challenges, from predicting consumers’ tastes to reducing costs. It can support customer engagement via conversational platforms, understand consumer demands using machine learning, and improve personalization using data science.

AI in Foodservice – Industry Analysis

The AI platform revenue in the foodservice industry was worth $280 million in 2019 and is expected to achieve a CAGR of more than 21% during 2019-2024. The foodservice industry is beginning to realize AI opportunities and invest in AI platforms. COVID-19 accelerated this trend by increasing online food ordering and home delivery, which generate more data.

The AI in the foodservice industry analysis also covers:

• Mergers and acquisitions
• AI Timeline

AI Platform Revenue in the Foodservice Industry, 2019-2024

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AI in Foodservice - Value Chain Analysis

GlobalData’s AI value chain consists of four segments: data inputs, big data management, AI technology, and AI use cases. It provides an overview of seven main AI technologies such as machine learning (ML), data science, conversational platforms, computer vision, AI chips, smart robots, and context-aware computing.

Computer Vision: Companies that rely on large repositories of visual data to power models are driving growth in computer vision (CV). These include Big Tech, but also Chinese AI companies that have access to vast amounts of citizens’ data, obtained from the country’s 200 million surveillance cameras.

AI Value Chain Analysis

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Leading AI Adopters in the Foodservice Industry

Some of the leading foodservice companies that are currently deploying AI are Chipotle, Deliveroo, Domino’s, Dunkin’ Brands, Haidilao, Mcdonald’s, and Starbucks.

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Leading AI Vendors

Some of the leading vendors associated with the AI theme are Alibaba, Alphabet, Amazon, Apple, Baidu, Cambricon, and Facebook.

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Specialist AI Vendors in the Foodservice Industry

Some of the specialist AI vendors in the foodservice industry are 7shifts, Dragontail Systems, GoParrot, Keenon Robotics, Kerry, Medallia, and Miso Robotics.

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Foodservice Sector Scorecard

At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our sector scorecards have three screens: a thematic screen, a valuation screen, and a risk screen. The foodservice sector scorecard has two screens:

• The thematic screen tells us who are the overall leaders in the 10 themes that matter most, based on our thematic engine.
• The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.

Foodservice Sector Scorecard – Thematic Screen

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AI in Foodservice Market Overview

Scope

The report provides:

• Global market size and growth forecast for AI platforms in the foodservice sector.
• Briefings on AI’s seven most important technologies: machine learning, data science, conversational platforms, computer vision, AI chips, smart robots, and context-aware computing.
• Analysis of how different AI technologies contribute to solving sector-specific challenges, including targeting growth, predicting consumers’ foodservice preferences and expectations, and adapting to changing business models.
• Case studies, supported by executive interviews, analyzing concrete sector-specific applications of AI including Starbucks’ use of machine learning to develop a personalization engine and Domino’s computer vision pizza checker.
• GlobalData’s thematic sector scorecard ranks the activity of foodservice companies in AI and other vital themes disrupting their industry. This is informed by GlobalData’s comprehensive tracking of AI-related deals, job openings, patent ownership, company news, and financial and marketing statements.

Reasons to Buy

• Prioritize investments in the areas of AI, which will deliver the best results for your business. Informed by GlobalData’s technology and foodservice analysts, we also provide recommendations on the area of the value chain you should focus on and highlight the parts you can confidently ignore.
• Support your internal business case for investment in AI by including an independent view of how you rank against competitors in this area, examples of competitors who have made these investments, and case studies of successful relationships in foodservice. This includes Domino’s partnership with Dragontail and Starbucks’ partnership with Microsoft.
• Efficiently source AI specialists and potential partners by accessing a long list of over 20 vendors including Microsoft, Google, and Dragontail Systems, a straightforward summary of their specialisms, and information on existing relationships with competitors in your industry.
• Develop marketing messages and value propositions for your AI services that will resonate with prospective clients in the foodservice industry by uncovering the business challenges they face in targeting growth, predicting customers’ preferences, and transitioning to digital business models.
• Quantify the global sales opportunity for AI services to the foodservice industry by accessing GlobalData’s market size and forecasts, produced by our foodservice and technology analysts.