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Consumer Brands & Retail
AI training for consumer businesses balancing speed, consistency, creative quality, and commercial discipline.
Teams we've trained include
- A heritage European lager brand brewed since 1895, exporting to more than 70 countries worldwide
- A fast-growing vegan confectionery brand scaling across UK retail and direct-to-consumer channels
- A premium UK confectionery brand with a cross-functional team spanning founder through to operations
- A global FMCG company behind household consumer brands spanning food, home care, and personal care
- A historic British pub company and brewer with hundreds of pubs across England and Wales
- A luxury department store group with iconic stores and a growing online and international presence
- A global prestige beauty company with a portfolio spanning skincare, fragrance, and cosmetics
- The world’s largest toy company, with a brand portfolio spanning action figures, games, and entertainment
- A British luxury fashion brand known for outerwear and heritage design, with a global retail presence
- A premium direct-to-consumer pet food brand using data and personalisation to serve UK pet owners
- A Danish luxury electronics brand known for premium audio products and Scandinavian design heritage
- The retail creative team of a top-three UK mobile operator, producing campaigns and in-store content
- A premium British beauty and wellness brand
- A British toy company
Why firms like yours hire us
- Our AI training for consumer brands and retailers helps lean teams move faster without losing control of the brand.
- We train on the documents your team works from: brand and product bibles, customer reviews, retailer forms and trading data.
- We've trained teams in confectionery, beer, pubs, beauty and wellness, and toys, from founder-led brands to heritage names.
- Each team, from the founder and finance to ecommerce, supply chain, customer service and developers, is trained separately, with one-to-one coaching available.
AI use cases from our consumer brand and retail clients
Each one was worked on in our sessions with clients like yours, and comes from our library of more than 1,000 AI use cases.
Product bible agent
The same product questions come in every day. An agent answers ingredient, weight, claims and pairing questions, and says when the answer isn't there.
Retail buyer rehearsal
Buyer meetings decide the year. Teams rehearse pricing and exclusivity talks with a simulated buyer before the real negotiation.
Order flow testing agent
Order errors cost margin and customers. An AI tester tries to break order flows with duplicate orders, unmapped SKUs and courier timeouts.
Fulfilment contract comparison
Renewals hide worse terms. Warehousing and fulfilment contracts are compared clause by clause against the previous agreement.
Customer persona from reviews
Customer insight is slow to gather. A synthetic customer built from real reviews lets staff interview it about what people want.
The numbers your competitors are watching
Where retailers and consumer brands stand on AI, from the latest official data.
How your peers are moving
Consumer brands and retailers are moving from handing staff AI tools to teaching them how to use those tools well, through academies, hack weeks and training for every user. Most mid-sized brands can’t fund a year-long academy, so we give your teams the same practical capability in days, built around your own documents.
We can usually identify your highest-impact use cases in a single conversation.
What we train on
- Brainstorming and researching campaign ideas
- Reviewing and refining marketing materials against brand guidelines
- Order processing and operational data consolidation
- Production planning from combined operational data
- Forecasting and product or customer analysis
- Customer-service email and chatbot workflow support
What makes us different
- Everything is bespoke. Each session is built around your own data, workflows and use cases, such as your brand and product bibles, trading data and retailer forms, so people practise on real work.
- Our instructors are AI practitioners, not career trainers. They are founders, operators and advisers who use AI in their own work every day, so they answer the hard questions from direct experience.
- We take a data-driven approach. We survey your teams before and after the programme and measure time saved, AI adoption and return on investment, so you can see exactly what changed.
- We are a full-service AI enablement partner. Beyond the training, we offer AI strategy for leadership, one-to-one coaching for key people, and rollouts across multiple teams.
How we get your team there
A practical playbook
- 1
Anchor it in the work that drives the brand
Start where speed and consistency matter most: retailer listings, buyer meeting prep, customer service replies and sales against forecast. Brands that tie AI to those jobs, rather than a general push to use AI more, get more than a burst of copywriting.
- 2
Build on real documents and workflows
Teams adopt faster when training uses their actual brand bible, product bible, supplier contracts, customer reviews and retailer forms. Abstract demos generate interest. Working with live material changes behaviour.
- 3
Fix the data foundation early
A single trusted source for product details, pricing and brand rules is what stops AI repeating a wrong ingredient, claim or price to a retailer or customer. Most brands find that clean product data and clear rules on what can be uploaded, not model capability, are the real constraints.
- 4
Measure adoption, not enthusiasm
Track time saved and which workflows are actually in use, rather than licence counts or how the day felt. Short coaching sessions afterwards turn first attempts into a smaller set of tools the team relies on.
“The General Purpose team led a highly engaging workshop for our team and were very thorough in adapting to different needs across various roles. It was a great pace and an amazing course.”
Bec Halbury, Creative Designer at Candy Kittens
“Projects was new to me and I already have a workshop with my team in the diary to discuss how we can use this.”
Participant at a premium British beauty and wellness brand
“I found the session very useful and well organised.”
Participant at a premium British beauty and wellness brand
Ready to build AI capability in your firm?
We can map the highest-value use cases for your team and design bespoke sessions around your actual documents and workflows.
Sources and further reading
ONS: Artificial intelligence in UK businesses, 2023 to 2026DSIT: AI adoption researchUS Census Bureau: Large firms with at least 20 employees biggest AI usersEurostat: Use of artificial intelligence in enterprisesSt. Louis Fed (FRED): Generative AI adoption for work, retail tradeMarketing Week: Three quarters of CMOs grappling with AI skills gapMarks & Spencer: AI tools for every store managerDebenhams Group: AI Skills Academy launchMake UK: AI, skills and the future of UK manufacturing