Steal these AI prompts for your fashion ecommerce team
Before jumping into prompts and automation, it’s important to lay a solid AI foundation. This post is a quick-start guide for AI in fashion ecommerce: covering the tools you should use, the context to provide, and a toolkit that will help you achieve consistent, high-quality results.
First things first: AI isn’t here to replace fashion ecommerce teams. But it can make everyday work smarter and more efficient. Whether you’re managing multi-market DTC sites, coordinating seasonal drops, briefing creative teams, or syncing retail and wholesale data, AI can help you move faster, spot emerging trends, and make smarter merchandising and marketing decisions.But just like any tool, AI is only as good as the context and data you provide. This first post in our AI series will help you:
Identify the AI tools that are best suited for fashion ecommerce
Provide the right context for consistent, reliable results
Build workflows to scale across your DTC operations
Along the way, Lucy Davis, co-founder of Factory and Chief Solutions Officer at ROIROI shares practical tips on how to get the most out of AI.
1. Choosing the right AI tools for your workflows
AI covers everything from chat-based assistants for insights and planning to automation tools that handle real-time metrics and reporting. Each tool has its own strengths, and a lot depends on your personal workflows and preferences. Here’s a quick overview of what’s available:
Chat-based AI tools
ChatGPT can help with brainstorming, content development, and writing tasks. Use it to plan campaign calendars, analyze sales by SKU, or summarize weekly performance reports. Claude performs best at long-form strategy work like product storytelling or writing creative briefs for your next lookbook. Gemini combines search capabilities with multimedia features which are useful for researching market trends, competitor collections, and gathering fashion keywords. And Perplexity provides quick, concise answers for research and fact-checking, often including citations.
Lucy’s take: “If you use an AI notetaker, many of them now allow you to 'chat' directly with a particular call transcript which can be super helpful when pulling together directions/insights from a meeting.”
Image generation
For campaign visuals and creative mockups, tools like Midjourney, Firefly, and Ideogram make it easy to bring concepts to life.
Analytics & dashboards
Monitor sell-through, campaign ROI, and trend performance using tools like ChatGPT Advanced Data Analysis, Akkio, and Polymer.
Product & content management
Streamline writing product descriptions and cleaning catalog data with tools like Jasper, and Copy.ai. These platforms help maintain a consistent tone across collections and product categories.
Lucy’s take: “Get ready for agentic shopping by cross referencing your content and product descriptions with your brand brain to ensure what you're writing is AEO-optimised.”
Automation tools
Connect data, automate triggers, and link workflows with tools like Zapier, Make, and Airtable Automations.
Tip: Start with one or two tools you’ll actually use daily. It’s better to go deep than wide.
2. Feeding AI the right context
AI works best when it understands your brand, goals, and data. So start by creating a “brand brain”: reusable notes that guide every AI interaction. At a high level, your AI context should cover the following:
| Example | |
|---|---|
| Brand overview | “We’re a Scandinavian contemporary brand focused on modular, gender-fluid design.” |
| Product categories | Dresses, Knitwear, Outerwear |
| Customer segments | Women 25–40, eco-conscious professionals |
| Sales channels | Centra DTC, wholesale partners, 6 retail stores |
| Tone of voice | Our tone of voice is modern, minimal, and fashion-forward |
| KPIs | Boost returning customers, improve full-price sell-through, reduce returns. |
| Pain points | Image asset management, collection timing, manual reporting |
Lucy’s take: “Consider taking the time to make your own 'BrandAssistantGPT' - stock it up with your TOV guidelines & brand bible as well as any important/relevant context so that it will take all of these things into account when helping you plan content. And the best part is, you only really need to do this once.
I particularly rely on providing my internal advisory GPTs with call transcripts so that they have the most up to date context on what is going on inside our business.”
We’ve made this part easy: Download our free AI prompt toolkit to get a clear structure for your brand context and prompts.
3. How to get the best results from AI
Always be specific
For example, instead of “Write an Instagram caption,” try “Write three Instagram captions for our new linen capsule drop. Tone: confident yet relaxed, audience: eco-conscious professionals, goal: drive early access sign-ups. Refer to the attached excel file for full brand context.”
Provide structure
Use templates, bullet points, or tables. The more organized your input, the better the AI can deliver useful insights.
Keep track and iterate
Keep refining your prompts based on the results you are getting. Keep track of the prompts that perform best.
Combine AI with human expertise
For AI to really work for you, you need a clear goal, a sense of what you want to say, and the instinct to double-check its output. In the end, it’s human judgment that makes AI truly valuable.
Lucy’s take: “Google does not like purely AI generated content - neither do savvy consumers. Watch out for slop!”
4. Set up your AI workspace
Before diving in, set yourself up for consistent results:
Create an AI folder for your brand context, best-performing prompts, and campaign data exports: from your ecommerce platform (e.g. Centra), Google Analytics, and key integrations in your tech stack (e.g. Klaviyo, Depict, eComID, etc). Keep everything centralized so your product data, content assets, and insights are always easy to access.
Save your best prompts in one place (like our toolkit) so you can keep going back to them
Automate your data exports (daily or weekly from your ecommerce platform, GA, Klaviyo, call transcripts from your note-taker, etc.)
Use structured formats (CSVs, tables, JSON whenever possible)
When you’re ready to scale your use of AI, these small habits make automation much easier.
5. Download your AI prompt toolkit
This toolkit is built for fashion ecommerce leaders who want to move faster without sacrificing brand quality or consistency. Build your brand context and tap into 100+ AI prompts covering product storytelling, campaign planning, merchandising insights, and creative execution. All tailored for modern DTC brands.
One final note: Now’s a great time to start having open, transparent conversations about how your team uses AI. Everyone is still learning, and no one is a true expert (yet). Establishing clear policies around privacy and data will help your team use AI in a way that benefits the organization while still staying responsible and compliant.
