Answers
AI training for DTC and e-commerce brands
Where does AI help a DTC brand?
First we get people into a more ambitious mindset. We combine teaching practical AI skills with frameworks for applying them to your day-to-day work.
Two things tend to come out of that.
People start applying AI to work they already do every week, such as product descriptions and customer replies.
They also start looking at the bigger picture: where AI could have a material effect on the business, by looking at bottlenecks and leverage points.
What should the training actually teach?
Tools change quickly. What lasts is a way of working on the tasks you already have:
- A more ambitious mindset: seeing where AI could do more in product copy, customer replies and the weekly trading report.
- What the tools can do: a clear sense of what they can draft, and where a person still has to decide.
- Frameworks for your own role: a way to apply AI to supplier updates, listings and the work already on the list.
- A new way of working: using that approach between sessions, not only on the day.
It should use the tools your team already has. Shopify, for example, has AI tools such as Sidekick built into the store admin, and stores can connect assistants such as ChatGPT, Claude or Microsoft Copilot.
What will my team leave with?
People leave thinking bigger about what’s possible, knowing what the tools can really do, and with a way of working out where AI makes them better at their own job.
How do you make the training stick?
We take a baseline measurement before people start. We then run a series of sessions over several weeks. That gives accountability and time to practise between sessions. It also means we never go more than a week or two without meeting, so we can help when someone has hit a block.
How Superposition does this
Superposition runs practical, in-person AI training for UK consumer brands, including DTC and e-commerce, food and drink, CPG and FMCG businesses typically doing £10m to £100m in revenue.
Superposition was founded by Laura Rosenberger, former COO of Naked Wines UK, a DTC wine business with over £100m in revenue, and co-founder of the wine brand Laylo. She has run operations at a large DTC business and built a brand from scratch.
- We get to know your business. We talk to your leaders and the people taking part about their work, tools and blockers.
- We run the sessions at your office. People use AI on their own work, with time to practise in between.
- We map the bigger opportunities. Your leaders get a map of where AI could help across the business, what each opportunity needs and the steps to take next.
We start with the work your team needs to get done.
Frequently asked questions
Which DTC and e-commerce teams benefit most from AI training?
You can train your whole company, selected teams or part of a team. We start by getting people into a more ambitious mindset, and we combine practical AI skills with frameworks for their day-to-day work and for where AI could have a material effect on the business.
Can AI write our product descriptions?
It can help with first drafts, if it is given accurate product information and your brand voice. A person should still check every detail a customer relies on, such as sizes, materials, ingredients and any claims. The Advertising Standards Authority says its existing rules apply however an ad is made, including with AI. Google says AI-generated content should be fact-checked before publishing. If you list products through Google Merchant Center, its rules require you to mark AI-generated titles and descriptions in dedicated fields, and AI-generated images through metadata in the image file. It helps to turn these into a few simple team rules. This is general guidance, not legal advice.
Should we let AI answer our customers directly?
Start with AI drafting replies that a person checks and sends. The Competition and Markets Authority says the same consumer law applies whether customers deal with a person or an AI agent. A business is responsible for what its AI agent does, as it is for an employee, and should keep a person actively checking its decisions and results. If dealing with AI rather than a person might affect a customer's decisions, the CMA says you should tell them. Training helps your team decide which replies AI can draft and which need a person's judgement.
We already use Shopify's AI tools or ChatGPT. Is training still useful?
Yes, especially if AI use is uneven across your team or you want clearer rules and a better view of what is working. We build the training on your own tools and tasks, so people practise together, agree what data they can use and review the results.
Is the training online or in person?
Superposition runs its training in person at your office, just for your team, using the tools you already have. London-based, other UK locations on request. People work on their own tasks with time to practise between sessions.
Where should your team focus on AI in 2027?
Score your business across seven areas with the free Superposition7 scorecard and see where you are strong, where the gaps are and what good looks like.
Related answers
Sources
- Competition and Markets Authority: Complying with consumer law when using AI agents (9 March 2026)
- Advertising Standards Authority: Disclosure of AI in advertising (29 May 2025)
- Google Search Central: Guidance on using generative AI content
- Google Merchant Center Help: AI-generated content
- Shopify Help Center: AI-powered tools
- Superposition: Practical AI training for consumer brands