From websites and quoting to sales and operations, AI is helping commercial apparel decorators move faster and make smarter decisions.
Customers today don’t think in terms of your shop’s production schedule. They think in terms of Amazon. Everything is about speed. Nobody has any patience. What used to be an acceptable delivery date now feels slow.
I’ve spent a lot of time speaking with shop owners and people across the industry, and I keep hearing the same thing: “We just don’t have time to figure it out.”
That’s the trap.
The shops that are leveling up don’t have more time than you. They just use it differently. They’ve found something that’s making a real impact. Artificial intelligence, or AI. They made the time to explore it, test it and build tools that deliver the one thing that matters most right now. Speed.
And yes, I hear the skepticism:
- “It’s unethical.”
- “It’s dangerous.”
- “I don’t understand it.”
There’s a lot of fear around AI these days.
For our industry, though, AI isn’t about replacing people. It’s about changing how work gets done. AI is already being used in practical ways that save time, improve decisions, reduce friction and solve problems faster than ever before.
Not in theory but right now, and the companies leaning into this are separating themselves from the competition. Not because they are bigger, have more equipment or have been around longer. But because they are faster.
Create Opportunity: Attracting Custom Apparel Customers with AI
Let’s discuss your website. Is it really working as well as possible for your shop? For many businesses, their website just sits there looking like a digital brochure, or it’s built with an industry software platform, so that it looks like everyone else’s.
AI isn’t just a buzzword for futurists anymore, it’s become an increasingly powerful tool for growing businesses in the real world. Image by vikriza – stock.adobe.com
You might have a picture of your equipment, the facade of your building, a bucket of ink or something. Services are listed, testimonials are posted, there is a quote button.
The question is whether this customer-facing tool is generating leads the way it should. If it’s not, the problem may be it wasn’t built around how customers think.
Here are some of the most common problems that show up on shop websites:
- No clear introduction of who the company is or why it matters
- No real visuals of finished work to build trust
- Generic messaging that could apply to any competitor
- Calls-to-action (CTAs) that feel vague or require too much effort
- Too many navigation options, creating confusion instead of clarity
- A quote process that takes too many steps to complete.
Worse yet is a situation where a shop site asks visitors to act before giving them a reason to trust the company. That’s where many shops quietly lose customers. They don’t leave because the site is broken. They leave because they don’t see the answers they want in time.
This is where AI becomes a great tool for your shop. Instead of guessing what your website should say, how it should say it or how it should be structured, you can ask AI for answers based on real customer behavior.
Start by having Claude or ChatGPT run an analysis on your current website. Use the following prompt:
“You are an expert in UX, conversion optimization, SEO and AI systems for a B2B decorated apparel company. Analyze this website: [INSERT URL].
Identify what is preventing it from generating qualified leads and converting visitors into quote requests. Evaluate:
- First Impression & Trust—Is it clear who they are, what they do and who they serve? Does it build trust quickly? What’s missing?
- Messaging & Positioning—Is it specific and differentiated? Does it address customer problems? Rewrite the homepage headline and message.
- UX & Flow—Is navigation simple? Where is there friction or confusion? Where do users drop off?
- Conversion—Are CTAs clear and easy? Is the quote path fast and obvious? What would increase conversions?
- Visual Strategy—Are real products shown? Is the hierarchy clear? What should change?
- SEO—Is the site structured for search engine optimization? What keywords and content are missing?
- AI Opportunities—Where can AI improve lead capture, follow-up or personalization?
- Competitive Positioning—Where does this site fall short? What would make it stand out?
- Action Plan—List the top 10 changes, ranked by revenue impact and ease.
- Be direct and practical. Focus only on what will improve lead generation, trust and speed of conversion.
After you run the report, you can use the AI tool to help you discover a clear direction to change the webpage in a matter of minutes.
You can then multiply the report’s effectiveness by adding information on your ideal customer profile, sales goals and lead-generation targets. Think about the outcome you want. What is the call to action that makes sense for your ideal customer? Should they book a call with you so you can start a conversation? Check out an example online store for print-on-demand (POD) that reflects the customer type you’re thinking about.
Ask AI:
- For my ideal customer types, what are the biggest conversation problems? How should I solve them?
- What should I include on the webpage to help build trust right away?
- How should the hero page be structured to guide someone to click on our Call-to-Action button?
The best part is that if you use the prompt sequence above and tailor the next step toward your ideal customers, you can get clear direction on what to change in minutes.
Next Step: Vibe Coding the Experience
In 2025, the term “Vibe Coding” was designated as the word of the year by the Collins Dictionary. If you haven’t heard that term before, that’s OK. Vibe Coding is an AI term for platforms that build websites, apps and tools using natural language. You don’t need to know how to code, as the AI platform handles the coding for you. All you need to do is know how to clearly explain:
- The kind of person you want to attract
- The problems they are trying to solve
- The actions you want them to take
- How your website needs to look in keeping with your brand guidelines.
An AI Vibe Coding tool like Base44, Lovable, or Replit will then help you build a better website built around the customer experience as defined these points—page by page, section by section. The result will be a website that helps reduce friction from the customer’s perspective and immediately builds a sense of trust.
The resulting redesign can also help customers take the next step in the buying process more quickly. This is important, because as with actual production, speed matters here too. If your site doesn’t connect fast enough, the customer is already gone.
To find out what’s missing, confusing or what you need to change, take your current webpage, use the prompt from the last section and paste it into Claude or ChatGPT.
After that, follow up and have the AI write instructions to redesign the webpage so it builds trust quickly and drives someone to the CTA. The goal here is to stop guessing what your website should be doing and start designing it to actually convert.
The Shift: From Capacity to Speed
When it comes to quoting, most shops use an industry software tool where you:
- Enter the customer information
- Add garments
- Choose the decoration method
- Build the items
- Calculate pricing
- Review and hit send.
Of course, that’s the clean version. In reality, none of that shows up ready to go. It comes in “messy,” in the form of emails, calls, half-complete requests and maybe a purchase order if you are lucky. Someone has to interpret it, look things up, make decisions and put things together again before anything is ever entered into the system. That’s the real job. That’s also where things slow down to a crawl.
Now, imagine this. The request comes in, and an AI sets right to work. It’s connected and pulls out the details. Maybe it suggests the kind of garments that best fit the customer’s needs. Maybe it uses its conditional logic to suggest decoration methods, builds out the line items, applies art to the product and creates some mock-ups. It applies pricing logic, flags what is missing and even suggests some upsells, all automatically.
By the time your rep or salesperson opens the system, the quote is already there. Not started, but built.
Now the job isn’t to create the quote; it’s to create a solid relationship with the customer based on response times. The outgoing information is instantly available. The result is an air of trust and professionalism. The customer thinks, “These guys are good.”
The shift here isn’t simply faster quoting. It’s removing the manual work required to build the quote. The biggest delay isn’t math. It’s translating messy customer information into a structured order. AI can do that instantly.
That’s where the speed comes from.
The key to fixing your quoting process is designing a better one. Open ChatGPT or Claude and describe this:
“I want a quoting tool for my shop that reads incoming customer requests, extracts order details, suggests garments and decoration methods, builds pricing, and outputs a ready-to-review quote.”
Then add:
- The types of jobs you typically run
- A sample pricing sheet or your pricing methods
- Your preferred suppliers and garment brands
- What a great quote looks like from your team
- If you want to push it further, include:
- A basic version of your P&L or margin targets
- Your turnaround expectations
- Any relevant rules or guardrails for production, such as your production schedule
Then ask:
“What would this tool look like, what data would it need, and how would I build it using AI tools available today?”
Also:
“What integrations, connections or APIs would make this fully automated?”
In this case, the goal is to stop thinking about improving your current process and start designing a system tailored to your shop, pricing and customers. Think this sounds crazy? I know a number of shops that have already done this.
Make Better Decisions: Clarity Beats Guesswork
Another one of the things many shop owners in this industry struggle with is clarity. They put in tons of effort, but understanding, let alone actually using all the data they have at their disposal is something they are simply not actively pursuing. As a result, important decisions get delayed, or worse, are made on instinct instead of being based on facts.
I recently had a conversation with a shop owner who has started connecting his systems using AI. He isn’t just using AI to write emails or create marketing content. He is using AI to connect his accounting system, CRM, sales pipeline and other operational platforms and then using the AI platform to start asking better questions.
At one point, he was reviewing his numbers and something didn’t make sense. His margins looked significantly higher than expected. To find out what was going on, he didn’t start guessing or spending hours poring over a mass of accounts entries. Instead, he asked his AI system to analyze the data.
Within seconds, it identified the issue. Payroll wasn’t being pulled into the report correctly. The shop numbers looked great, but they were wrong. Better still, the system didn’t just show him what was wrong, it told him how to fix it.
That’s a different way of operating than most shops in the industry.
He also asked the AI the question: “What happens if I hire another salesperson?” (A question that is likely on the mind of many other shop owners out there as well.)
The AI system didn’t just give him a generic answer. It built a model. It factored in revenue per customer, ramp time, commission structure and margins. It illustrated when the hire would be profitable, and when it wouldn’t. That’s not reporting. That’s decision-making level information.
Finally, he pointed the system at his sales pipeline and asked where things were getting stuck. It identified hundreds of opportunities that had been sitting too long without movement and flagged a number of specific stages where deals were slowing down.
Again, not a guess. Clarity.
The Real Shift in Running Your Apparel Decorating Business
This is what most shops in the industry haven’t realized yet. AI isn’t simply helping you do the work. It is helping you understand the work. It can connect your data across multiple platforms, clean it up and provide real-time direction. Most delays in this industry don’t come from hard-to-solve problems. They come from not knowing what to do next. AI can help remove that obstacle.
To get started try taking the following 10-minute test.
First, take one area of your business where you feel unsure. It could be any one of the following:
- Profit margins
- Sales performance
- Customer type
- Stuck orders or quotes
Next, give an AI tool the context of what you want to know. Describe your situation, give it the data, and ask:
- What doesn’t look right here?
- What should I be paying attention to?
- What would you recommend?
- Who could help with this challenge?
The goal is to experience how quickly you can move from guessing to clarity when your data and questions are connected.
At the end of the day, if you want to make things happen faster in your shop, it doesn’t mean you have to work harder. Instead, you need to think about removing the delays that are slowing things down. Winning shops look for ways to speed up workflows and decision-making, and get customers the answers they need as quickly as they can—all things AI does incredibly well.
Marshall Atkinson is a veteran designer, custom apparel decorator, business coach and principal at Atkinson Consulting, (marshallatkinson.com). He is also the publisher of the “Midjourney: Elevating Print Creativity” online newsletter (midjourneyexperience.com), which covers the latest in generative AI, and author of the online book “2026 Thinking: How Businesses Will Win, Stall, or Fail in 2026.” To download a copy of the book free-of-charge, click here.
