Frequently Asked Questions

MachoSuit is an AI suit-fitting SaaS for custom-tailoring shops. It helps a shop register customers, choose fabrics and suit options, and create consultation images that show how a selected suit style may look on the customer. Use the results as visual consultation material, not as a guaranteed production image.

A shop can register customers, manage fabric images, choose suit options during consultation, and create AI fitting results for comparison. This makes it easier to explain colors, fabric mood, buttons, vents, shirts, ties, and overall styling before production.

Start with customer management, upload or select a customer photo, register fabrics, then create a 3D suit fitting. After checking the render image, choose or upload a customer photo and generate the AI fitting result. Garment and wedding fitting can be added after the basic workflow is familiar.

Customer management stores customer information, photos, and fitting history. Fabric management stores fabric assets such as images, codes, colors, and patterns. Suit fitting connects a customer, a fabric, and suit options to create visual fitting results for consultation.

Customer detail pages show customer information, uploaded photos, suit fitting history, garment fitting history, and AI result images. The fitting results menu also lists all generated results so previous consultations can be reviewed and compared.

MachoSuit supports mobile and tablet screens for major tasks such as checking customers, fabrics, results, notices, and FAQ. For detailed 3D preview, multiple uploads, and option-heavy consultation work, a tablet or PC is recommended.

No. AI fitting results are reference images for consultation. Fabric texture, color, shine, cutting, body correction, sewing details, and lighting may differ from the finished product. Final production decisions should follow professional measurement and tailoring consultation.

Select a customer, choose a fabric and suit options, create front/side/back render images, then upload or select customer photos. MachoSuit combines the render and customer image to create AI fitting results that can be used for consultation and comparison.

Front images are the most commonly used and can start the fitting flow. Side and back images are optional but recommended when the shop wants to show silhouette, jacket length, back balance, or vent details from multiple angles.

Use a clear full-body photo with good lighting and a simple background. The customer should stand naturally, with the body not cropped or covered by objects. Better source photos usually produce cleaner AI fitting results.

MachoSuit first creates a suit render based on the selected fabric and options such as buttons and vents. AI then applies that render to the customer photo. Clear fabric images and accurate options help the final result show the intended style more clearly.

Check the customer photo first. Dark, blurred, cropped, or heavily posed photos can reduce quality. Try a clearer full-body image, a simpler background, and a different angle. You can also regenerate the result when needed.

Yes. You can create multiple fitting results for one customer using different fabrics, options, or photos. This is useful for comparing styles during consultation and keeping a history of proposals by customer.

AI fitting results can be reviewed from the fitting results menu and from each customer detail page. Previous results remain connected to the customer so they can be shown again or compared with newly generated results.

The garment library can store suits, jackets, pants, shirts, ties, shoes, accessories, wedding dresses, tiaras, veils, gloves, earrings, and necklaces. Registered items can be selected for garment or wedding AI fitting.

3D suit fitting starts from a generated suit render based on fabric and suit options. Garment photo fitting uses registered garment photos directly, such as shirts, ties, shoes, wedding dresses, or accessories, to create a styled fitting image.

Yes. A front customer photo can be used for wedding dress fitting. For better quality, use a bright, full-body, front-facing image. Additional item photos such as veil, tiara, gloves, and jewelry can be selected together.

Yes. You can combine multiple garment items such as a suit set, shirt, tie, and shoes. The selected items are used together to create a more complete styling result for the customer photo.

Yes. Wedding fitting can combine a dress with accessories such as tiara, veil, gloves, earrings, and necklace. Choose clear item photos so the AI can reflect the styling more naturally.

Use clear photos that show the garment shape and color well. A simple background, front-facing product image, and minimal shadows are recommended. Avoid low-resolution images, heavy filters, or photos where the garment is hidden.

Garment items can be managed in the garment library. Depending on the current settings, items can be updated, hidden, or excluded from fitting selection so the shop can keep only usable assets visible.

AI fitting uses credits according to the type of generation. 3D suit fitting is calculated by selected view count, while garment and wedding fitting can vary depending on the number of selected items.

Each selected 3D suit fitting view can use credits. If front, side, and back are all selected, the total is calculated by the number of selected views. Check the expected amount before generating.

Yes. A basic number of items may be included in the base credit amount, and additional items can increase the cost. Customer photos are not counted as garment items.

No. If your credit balance is lower than the expected usage amount, generation will not start. Recharge the wallet first, then create the AI fitting again.

If generation fails and no usable result is created, used credits can be restored according to the automatic refund rules. Validation failures before the AI job starts usually do not deduct credits.

Yes. Regeneration creates a new AI job, so credits are charged again based on the selected view or item count. Existing successful results remain available for comparison.

You can check wallet usage, credit balance, AI generation charges, automatic refunds, and recent changes in the wallet or usage history screen. Contact support if a refund or balance looks incorrect.

Try logging in with the social accounts you may have used, such as Naver, Kakao, Google, or Apple. Data is connected to the login account, so using a different account may show no previous data. Contact support with shop information if needed.

Company account information can be checked in Settings after login. Keep shop name, contact person, phone number, and email accurate because they may be used for support, notices, and consultation records.

Use the inquiry or support menu and include the screen name, action taken, error message, fitting number, customer name, time of occurrence, and screenshots if possible. Detailed information helps faster troubleshooting.

Submit a question through the inquiry menu. Include the feature name and the step where help is needed. Frequently asked questions may be added to the FAQ after review.

Inquiry replies can be checked in the support or inquiry menu. Make sure you are logged in with the same account that submitted the inquiry, because shop data and support history are separated by account.

Check file format, size, file name, and network condition. JPG, PNG, or WEBP images are recommended. If upload still fails, try another browser or reduce the image size and contact support with a screenshot.

Service maintenance, feature updates, pricing policy changes, refund policy updates, and important announcements can be checked in the notice menu. Check notices regularly to avoid consultation interruptions.