You've designed your collection. It looks incredible. Now what? This is where most new designers hit a wall - the bit between "I made this" and "someone actually bought it." If you want to sell to retailers, you need commercial materials. And AI can help you create them without hiring an agency or spending weeks doing it manually. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟯 𝘄𝗮𝘆𝘀 𝘁𝗼 𝘂𝘀𝗲 𝗔𝗜 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹/𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝘀𝗶𝗱𝗲: 𝟭. 𝗟𝗶𝗻𝗲 𝘀𝗵𝗲𝗲𝘁𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼𝗻'𝘁 𝗹𝗼𝗼𝗸 𝗮𝗺𝗮𝘁𝗲𝘂𝗿 𝗬𝗼𝘂𝗿 𝗹𝗶𝗻𝗲 𝘀𝗵𝗲𝗲𝘁 𝗶𝘀 𝘆𝗼𝘂𝗿 𝘄𝗵𝗼𝗹𝗲𝘀𝗮𝗹𝗲 𝗽𝗶𝘁𝗰𝗵. 𝗜𝘁 𝗻𝗲𝗲𝗱𝘀 𝗰𝗹𝗲𝗮𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝘀𝗵𝗼𝘁𝘀, 𝗰𝗹𝗲𝗮𝗿 𝗽𝗿𝗶𝗰𝗶𝗻𝗴, 𝗸𝗲𝘆 𝗱𝗲𝘁𝗮𝗶𝗹𝘀, 𝗮𝗻𝗱 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗹𝗮𝘆𝗼𝘂𝘁. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼: - Clean up/remove backgrounds from product images - Generate consistent product descriptions across your range - Create layout templates that look polished (Canva + AI, or tools like Relume for quick design) 𝟮. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝘀𝘁𝗼𝗿𝘆𝘁𝗲𝗹𝗹𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝗲𝗹𝗹𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗱𝗲𝘀𝗰𝗿𝗶𝗯𝗲𝘀 𝗕𝘂𝘆𝗲𝗿𝘀 𝗱𝗼𝗻'𝘁 𝘄𝗮𝗻𝘁 "𝟭𝟬𝟬% 𝗰𝗼𝘁𝘁𝗼𝗻 𝘁-𝘀𝗵𝗶𝗿𝘁 𝗶𝗻 𝗯𝗹𝗮𝗰𝗸." 𝗧𝗵𝗲𝘆 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼𝘄 𝗪𝗛𝗬 𝗶𝘁'𝘀 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗮𝗻𝗱 𝗪𝗛𝗢 𝗶𝘁'𝘀 𝗳𝗼𝗿. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼: - Draft compelling product stories (then edit to sound like you) - Adapt your storytelling for different markets (premium vs. volume retail) - Create sell-in talking points for each piece - 𝟯. 𝗪𝗵𝗼𝗹𝗲𝘀𝗮𝗹𝗲 𝗽𝗶𝘁𝗰𝗵 𝗱𝗲𝗰𝗸𝘀 𝘁𝗵𝗮𝘁 𝗴𝗲𝘁 𝗺𝗲𝗲𝘁𝗶𝗻𝗴𝘀 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗶𝗻𝗴 𝗯𝘂𝘆𝗲𝗿𝘀, 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮 𝗱𝗲𝗰𝗸 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘄𝘀: 𝘆𝗼𝘂𝗿 𝗯𝗿𝗮𝗻𝗱 𝘀𝘁𝗼𝗿𝘆, 𝘁𝗵𝗲 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄, 𝗸𝗲𝘆 𝗽𝗶𝗲𝗰𝗲𝘀, 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗻𝗱 𝘄𝗵𝘆 𝗬𝗢𝗨. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼: - Structure your pitch (what order, what to emphasise) - Generate slide content and refine your positioning - Create multiple versions for different types of buyers (boutique vs. department store) The reality? Most buyers see 50+ brands a season. If your materials look messy or unclear, you're out before they even see the clothes. AI won't make your collection better, but it can make sure the commercial side doesn't let you down. 💬 Question for you: If you're working on launching a brand or building a collection - what part of the "selling" side feels most overwhelming or confusing? Let's help each other figure it out.

Everyone's talking about AI in fashion, but most of it focuses on generating pretty images. That's cool, but if you're serious about building a digital fashion brand or breaking into the industry, AI's real value is in the unsexy stuff that actually makes or breaks a business. Here's where I've seen it genuinely help brands (and where it could help you): The boring-but-essential wins: - Turning one design into 20 colour ways in minutes instead of hours - Writing consistent product descriptions across your whole collection - Organising your design files so you can actually find things - Creating sell sheets and wholesale materials without hiring a designer - Testing product concepts before you invest in samples The truth? AI won't replace your creativity or design vision. But it can handle the repetitive tasks that slow you down or cost money. Vote 👇🏾, then tell me: What's the biggest bottleneck slowing you down right now? Or if you're just starting out - what part of launching a brand feels most overwhelming? Let's figure out where AI could actually help vs. where it's just hype.

Your brand doesn't need to showcase 12 physical samples, in a London showroom to succeed, you need tight sell-in assets and a process that buyers can say yes to. Here’s a straight forward AI stack to get your range in front of buyers before you spend thousands on physical sampling 💸 🔥 Wholesale AI Stack (for actual results) RANGE VISUALS (before you sample):– Raspberry AI: mock up variations, fabrics, prints, no resampling required - NewArc: turn techs/sketches into buyer-ready visuals - Fermat: super quick colour/material changes for routes 📑 LINE SHEETS BUYERS CAN USE:– JOOR: digital line sheets that buyers can browse anytime 🎯 SALES COPY THAT CONVERTS:– ChatGPT: tight bullets, pricing logic, buyer follow-ups - DeepL: clean translations if you’re selling cross-border - Canva: one clean deck template = instant trust 📈 ACT LIKE A WHOLESALE SYSTEM: Track these 3 things every time: 1️⃣ Time to build your sell-in kit 2️⃣ Appointment → order conversion rate 3️⃣ Top objections (fix your deck, not your product) 🟠 Want a copy/paste prompt pack for digital wholesale? Bullets, range story, buyer follow-up messages... 💬 Comment “PROMPT PACK” and I’ll drop it this week.

Let’s be honest, most “AI in fashion” talk sounds like theatre. But real wins? They happen behind the scenes — in places that either: ✅ reduce friction 💸 or make you money Here’s where I’ve seen AI actually shift outcomes for fashion brands: 🚚 Logistics + Ops – Extracting specs from images (hello, no more manual size tables) – Creating product variants fast (more colour ways, less back and forth) – Automating sample requests + line sheet prep – Cleaning up imagery for sell-in decks – Making archives searchable by actual need ("find me all cropped knits in lilac") 💰 Commercial Gains – Faster, cheaper sell-in materials – Stronger PDPs (consistent fit notes, copy, tags, translations) – Testing new drops without needing a full sample set – Supporting wholesale with ready-to-go visual stories 👉🏾 The difference? These aren’t just pretty outputs — they reduce hours, cut costs, and give teams space to focus. 💬 Question for you: What’s one internal process you wish AI could streamline right now in your brand? Drop it below 👇🏾

AI can do a lot in fashion today, from turning rough sketches into mockups to writing product copy and even generating full lookbooks. 🟠 But where does AI actually add value in brand building? 🟠 And where is the human touch still non-negotiable? Let’s unpack it 👇🏾 AI is useful for: ⚡ Speeding up mockups + content ⚡ Spotting patterns in sales data ⚡ Getting quick feedback on early concepts ⚡ Automating the boring stuff But it can’t replace: 💬 Real creative instinct 🧠 Brand strategy that feels right 👂🏽 Deep customer insight ✨ Knowing when not to follow the data Where do you draw the line? What’s one thing in your brand process you’d NEVER hand to AI? Drop your thoughts below ⬇️ Let's hear from the humans 👀