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The Buyer | How Sommify’s AI solution can help on-trade & suppliers sell more wine

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Tell us about Sommify which you claim is an AI first for the wine industry?

Sommify is an AI company focusing on the wine industry that was founded in late 2022 in Helsinki, Finland – not the first place you think of when talking about wine.

The mission is very simple: to help grow the industry by making wine accessible through digital solutions. Our thesis is that by democratising world-class wine knowledge we can help both the seller and buyer to make decisions, both of which often find wine a difficult category.

To do this we replicated the wine knowledge of Julie Dupouy, a world-class sommelier, into an AI model we have packaged in different ways to sell to companies looking to have a competitive edge and help future proof their business.

There is a lot of PR and stories about AI which can be confusing – so can you set out why your AI model offers a genuine point of difference and could be a real cost benefit for wine companies?

I 100% agree. Like with any new-ish technology there is a lot of noise and companies have a tough situation to filter out firstly how they could use AI to their actual benefit and secondly how to then implement it. We do not see our AI model as the main point of difference. In the age of the fast progressing LLMs (Large Language Models) our niche focused AI model will outperform an LLM in wine-food pairing but not to a level that makes or breaks us as a company.

Anyone making strong claims about their superior AI often raises red flags because it is very unlikely you are outperforming some of the largest companies in the world.

AI has become a commoditised engine for solutions and we believe our real value lies in the solutions and experiences we offer. We are proud of the AI model we have built, but we know the actual difference is by knowing the industry and its challenges and addressing those in very tailored ways.

We see the future as every industry having its AI company that is very focused on one industry giving it an edge over general models, and we want to be that for wine. So with us the real cost benefit is knowing what works for the wine industry through extensive interviews, testing and research and then delivering high quality plug-and-play solutions specifically to serve the wine industry.

You are focusing your AI model on offering an AI solution for sales assistants for on-trade wine sales – why did you want to focus in on this area in particular?

The Buyer

Part of how the Sommify agent AI solution looks like

We are now focusing on building a solution for on-trade wine distributors because we learned through our research of the wine vertical that for many distributors on-trade wine sales is “20% of the revenue, 80% of the headache”. The sales process takes up a lot of time and resources because of the high customer volume with low per customer revenue.

We learned that in some markets sales people spend up to one to two hours just preparing offers. There are so many steps in the on-trade sales process that are very manual, repetitive but also complex. This is a perfect use case for AI.

We interviewed tens of distributors to understand the sales process and then created a solution that helps a wine seller each step of the way. Additionally, by doing this we feel we are able to help restaurants, hotels etc. enhance their wine-food experiences even though they could not afford a sommelier because of the supporting materials with advice on wine we generate. It all comes back to making wine accessible.

What have you done in order to create an AI model that offers an effective solution?

The Buyer

Sommify has been working with leading sommelier Julia Dupouy to help build its AI model to help the on-trade and suppliers sell more wine

We see the AI model at the core of the solution. Which is why we are referring to it as “Julie Dupouy as an AI”. We have therefore dubbed it an “AI sommelier”. To do this we started working with Julie in 2021 and have been able to use her knowledge to build a model that replicates her world-class wine experience and make it accessible to the trade . We started doing this before any of the big LLMs were launched. Having our AI model built around her knowledge differentiates us.

A very concrete example of this is how we have built our wine and food pairings based on her knowledge and have been able to compile a huge dataset of wine-food pairings so the AI model we built pairs wines in a similar way she does.

How did you get involved with Julie Dupouy and what has she done to help you?

When starting out we sent an email to 30 of the best sommeliers in the world. Eight of them wanted to join the company so we held a tournament that simulated the type of work they would be doing with us and Julie won. Most importantly she had the most accessible style and understood our mission of trying to reach the average consumer.

We definitely made the right decision. It has been incredible working with such a high level professional. She continues to help us build and improve the AI model. She also helps us on the UX side because she knows what is important and how to phrase things.

Can you give some examples of the type of knowledge and information she has been able to provide?

We realised as part of our model we needed to help find an on-trade solution that would help both staff in a restaurant sell more wine, but also help the distributor too. The staff can often be uneducated and unsure about selling wine. So we sent Julie a large number of wines and she created one-line descriptors for each one on how she would sell the wine and what makes it special.

We used these descriptors to train an AI model to recognise these key features and word them in a similar accessible way. So now when a distributor sells wines to a restaurant they can offer the restaurant a “cheat sheet” document that has an info package on each wine including which menu items in the restaurant work with the wine, information about the wine and a one-liner how their staff should sell it.

Can you give examples of the kind of tasks you have been able to automate that you say the on-trade finds annoying or boring to do?

The Buyer

Jacob Pichna, Sommify’s co-founder, believes it is one of the first dedicated AI model for the on-trade and wine industry (photo Markus Wach).

The tasks vary a bit per market but the main areas we help in automating are: wine selection and material generation. What I mean by wine selection is that you might have a portfolio of thousands of wines that no human can realistically remember and we use that whole portfolio to select the perfect wines for the menu.

The salesperson can also just use it to narrow down the options, so for example we select the perfect 30 and they then manually narrow it down to 10-12 they want to offer.

The second part is material generation. We help create supporting materials for the offer. We can create a wine list where we automatically add margins and the right prices per glass for that restaurant.

They then also have a cheatsheet which helps the restaurant sell the wines by giving information on each of the wines, including food pairings and descriptors per wine. This can be printed out and put on a wall in the kitchen so the staff can quickly check and memorise key things about the wines they are selling.

They can also use our website to create a custom menu, with supporting documents, in a few minutes.

Is the idea to replace on-trade sales assistants with this AI model?

Absolutely not. Our job is to complement them and make their life easier. We want to scale up sales teams, not make people redundant. So instead of say sending out eight offers a day to their customers, they will suddenly be able to do 40 and focus on the relationship part more. On-trade sales is still a relationship business. AI can’t do that part so we stay in our lane and help sales teams focus on what is really important.

You have also worked with over 30 distributors across Europe to build your AI model – what sort of distributors were they in terms of size and what they do?

We interviewed distributors of different sizes and in different countries across Europe. We also tried getting opinions from different positions within the company. We also interviewed different types of distributors to get a better understanding of the whole space as there are distributors that do also other categories like spirits and beer and then there are 100% distributors that are more knowledgeable about wine and their sales staff only focuses on wine.

We also interviewed their customers to understand their pain points. This helped us create a concept that would serve the companies we feel would need the solution the most but are also most receptive to the idea of efficiency.

How did you choose which distributors to work with?

The Buyer

Sommify has worked with distributors across Europe to build its supplier AI model including Denmark’s Den Sidste Flaske

I would like to highlight our first adopter of the solution Den Sidste Flaske in Denmark. We have worked with them on other projects too and it is a forward-thinking distributor which is reflected in its success. It is exactly the type of partner we like, willing to test different things and see what works.

There are also companies that want to keep the pilots and testing under NDAs. They fear that working with us would signal a lack of personal touch and their employees would get nervous about downsizing which of course is not the case. But as we learn to position ourselves and the product we will hopefully be able to bring more public examples of how it is helping companies.

You say you have worked with Tesco on this – what is Tesco using your AI model for and what results have they had?

The Buyer

Sommify has worked with Tesco to provide wine seletions to go with the food dishes as part of its Real Food range

We work with Tesco with our core AI (the Julie Dupouy as an AI sommelier model), not this product. We are helping Tesco make wine more accessible and build bridges between its food and wine offerings. We have done a number of seasonal campaigns with Tesco with great commercial success. We had a 40% cross-sell in one of the campaigns – where 40% of the people that bought a meal also added wine to their cart when our solution was present.

We currently also pair its wines to popular recipes on Tesco Real Food and there are of course some new exciting things in the pipeline with them.

Who do you see as the target customer that could benefit the most from what you do?

If you are a distributor then based on early traction and research then our sommify agent product is ideal for you. It will help you sell wine to on-trade more effectively, providing you have product data available on the wines for us to use and you are in a market where your on-trade customerscare about wine-food pairings. It is also important to have a sales team willing to use a digital solution. If these apply, you are able to scale up your on-trade wine sales with us.

What sort of savings and benefits are we talking about?

Based on early numbers sales teams are able to cut down 90% of the time they spend on offer creation which they can then use to increase their sales efforts. We are also working on other parts of the process like customer sourcing and outreach. Companies that use this will have a big unfair advantage on their competitors.

What is the cost involved in signing up and what do you get for that?

Depending on the size of the company it is a flat cancellable monthly fee ranging between hundreds and thousands of pounds. As we are still in the early stages of the launch the pricing is built in a way that it is a no brainer for companies when taking into account the savings.

Once we get enough data to prove our thesis we will adjust prices for new companies to better reflect the benefit. Currently we are looking for early adopters that will help us prove the benefit and in exchange they get a low cost solution with big impact.

Are you looking to expand the AI model into other areas of the wine industry?

We want to eventually become the AI company for the wine industry. We have identified 14 different areas where AI could have a considerable impact, just like with the on-trade sales process. We will go one by one “down” the wine industry vertical towards production.

Currently we are working on helping retailers sell wine to their customers (the complete “front-line”) and recently we moved one step down to help distributors sell to the companies selling to the “front-line”.

* You can find out more about Sommify at its website here.

* You can contact Sommify’s co-founder and chief executive, Jacob Pichna on jacob@sommify.ai.



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Capgemini acquires India-based WNS for $3.3 billion to boost AI business services – Firstpost

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Capgemini expects the deal to be closed by the end of 2025 and be immediately accretive to its revenue and operating margin

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France’s Capgemini has agreed to buy technology outsourcing firm WNS for $3.3 billion in cash to expand the range of AI tools it offers for companies, the IT services group said on Monday.

The deal equips Capgemini to create a consulting business service focused on helping companies improve their processes and cost efficiency with the use of artificial intelligence, namely generative AI and agentic AI, which it expects to attract significant investments.

The purchase price translating to $76.50 per WNS share represents a 17% premium compared to their last closing price on July 3 and does not include WNS’s financial debt, Capgemini said.

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Its interest in India-based WNS, whose services include business process outsourcing and data analytics, was first reported by Reuters in April.

“WNS brings … its high growth, margin accretive and resilient Digital Business Process Services … while further increasing our exposure to the US market,” Capgemini CEO Aiman Ezzat said in a press statement.

WNS’s customers include large organizations such as Coca-Cola, T-Mobile and United Airlines.

On a conference call with media and analysts, Ezzat said the acquisition would immediately create cross-selling opportunities between the two companies, mainly in the U.S. and Britain.

Capgemini expects the deal to be closed by the end of 2025 and be immediately accretive to its revenue and operating margin.

However, its shares fell around 5% following the news, the biggest losers on Europe’s benchmark STOXX 600 index as of 1024 GMT, with Morgan Stanley analysts saying the deal would limit its balance sheet flexibility while not having a major impact on financials.

Some investors are also concerned that Gen AI could impact the typically staff-intensive business process outsourcing (BPO) market, which could bite into Capgemini’s revenues and expose it to new competition, the analysts said in a research note.

“We expect investors to be able to see the opportunity that could come from disrupting BPO with Gen AI but think some evidence will be needed to convince the market WNS is the right vehicle,” they added.

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Cambridge Judge Business School Executive Education launches the AI Leadership Programme in collaboration with Emeritus

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The programme explores future-focused AI strategies and frameworks to foster innovation, accelerate organisational growth and build resilience.

CAMBRIDGE, England, July 7, 2025 /PRNewswire/ — Cambridge Judge Business School Executive Education announces the launch of its four-month Cambridge AI Leadership Programme. This programme equips leaders with both strategic insights and practical knowledge to harness AI for business transformation. Launched in collaboration with Emeritus, a global leader in making high-quality education accessible and affordable, enrolment is now open for a September 2025 start.

Artificial intelligence (AI) is transforming industries, and organisations are eager to understand and leverage its full potential to enhance efficiency, drive innovation and stay competitive. According to Forbes, 68% of employers consider AI to be crucial for future success. However, many AI projects fail due to a lack of strategic leadership and integration. The Cambridge AI Leadership Programme helps participants navigate the complexities of AI adoption, identify scalable opportunities and build a strategic roadmap for successful implementation.

Through a blend of in-person and online learning modules, participants will develop an understanding of AI concepts, applications and best practices to enhance decision-making skills as well as examine digital transformation and ethical AI governance. They will engage directly with world-renowned Cambridge faculty, industry experts and global peers while immersing themselves in the rich Cambridge ecosystem. By the end of the programme, participants will be prepared to implement AI strategies that deliver operational excellence and long-term organisational success.

“AI is a transformative force reshaping business strategy, decision-making and leadership. Senior executives must not only understand AI but also use it to drive business goals, efficiency and new revenue opportunities,” says Professor David Stillwell, Co-Academic Programme Director. “The Cambridge AI Leadership Programme offers a strategic road map, equipping leaders with the skills and mindset to integrate AI into their organisations and lead in an AI-driven world.”

“The Cambridge AI Leadership Programme empowers decision-makers to harness AI in ways that align with their organisation’s goals and prepare for the future,” says Vesselin Popov, Co-Academic Programme Director. “Through a comprehensive learning experience, participants gain strategic insights and practical knowledge to drive transformation, strengthen decision-making and navigate technological shifts with confidence.”

The programme is designed for senior leaders looking to lead transformation, unlock new revenue opportunities and integrate AI technologies into business operations effectively. It bridges the critical gap between technology and business strategy, preparing leaders to achieve AI-driven business goals.

“We are delighted to collaborate with Cambridge Judge Business School Executive Education to help senior leaders deepen their understanding of AI’s strategic applications and build foresight to balance innovation while managing risk,” says Mike Malefakis, President of University Partnerships at Emeritus. “Through blended learning, the Cambridge AI Leadership Programme enables participants to leverage AI tools and strategies for business optimisation and growth.”

The Cambridge AI Leadership Programme starts on 22 September 2025. For more information and to apply, please visit the programme website.

About Cambridge Judge Business School

Cambridge Judge Business School leverages the power of academia for real-world impact to transform individuals, organisations and society. Since 1990, Cambridge Judge has forged a reputation as a centre of rigorous thinking and high-impact transformative education, situated within one of the world’s most prestigious research universities and in the heart of the Cambridge Cluster, the most successful technology entrepreneurship cluster in Europe. In the Research Excellence Framework (REF) 2021, Cambridge Judge placed first in the Times Higher Education rankings for Business and Management Studies in the United Kingdom. Ninety-four per cent of Cambridge’s overall REF submissions were rated as “world leading” or “internationally excellent”, demonstrating the major global impact that Cambridge Judge researchers are making on society. Cambridge Judge pursues innovation through interdisciplinary insight, entrepreneurial spirit and collaboration. Cutting-edge research is rooted in real-world challenges, and students and clients are encouraged to ask excellent questions to create real-world change. Undergraduate, graduate and executive programmes attract innovators, creative thinkers, thoughtful and collaborative problem-solvers as well as current and future leaders, drawn from a huge diversity of backgrounds and countries.

About Cambridge Judge Business School Executive Education

Cambridge Judge Business School Executive Education offers a wide range of open-enrolment and customised programmes that will test, challenge, encourage and inspire you. We will help you embrace the knowledge and skills you need – to grow in confidence and to evolve and adapt. Get ready to lead purposefully, manage effectively and innovate in an increasingly complex future.

About Emeritus

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, organisations and governments worldwide. It does so by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus’s short courses, degree programmes, professional certificates and senior executive programmes help individuals learn new skills and transform their lives, companies and organisations. Its unique model of state-of-the-art technology, curriculum innovation and hands-on instruction from senior faculty, mentors and coaches has educated more than 350,000 individuals across more than 80 countries. For more information, please visit https://emeritus.org.

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Capgemini falls as WNS deal raises questions over AI’s business impact — TradingView News

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** Shares in French IT services firm Capgemini CAP fall more than 5% to their lowest price since late April, after it agreed to buy WNS WNS for $3.3 billion of cash

** Analysts from Morgan Stanley say investors are concerned over the impact of Gen AI on the business process outsourcing (BPO) market that Capgemini wants to develop into

** “The bear case is that new technology would shift BPO from a people intensive business to one which is much more highly automated and managed by software and not people” – MS

** This could mean reduction of BPO revenues and exposure of incumbent vendors to competition from new entrants, MS adds

** “We expect investors to be able to see the opportunity that could come from disrupting BPO with Gen AI but think some evidence will be needed to convince the market WNS is the right vehicle,” MS says

** The analysts add WNS is not large enough to be transformational to Capgemini’s financials, while the deal is using up its balance sheet firepower for a couple of years

** Capgemini’s shares are at the bottom of Europe’s benchmark STOXX 600 index SXXP



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