How to provide support for custom fashion products?

Your product pages might list options, but customers need fast answers on fit, fabrics, trims, and turnaround. Upload your design catalog, sizing charts, material specs, and FAQ docs to Chatref. The platform builds a knowledge base that the AI agent queries in real time, giving grounded replies pulled straight from your own content.

• Point Chatref to your PDFs, URLs, or plain text.
• Organize guides per product line (made-to-measure, monograms, dye options).
• The agent cites your source docs, so customers know the info is accurate, not an AI guess.

The real power of Chatref’s AI agents is handling the flood of “Can you do…” and “How long will…” questions that clog your inbox. Agents match your brand voice and answer from the knowledge base, so replies feel on-brand and informed. They can explain differences between custom options, confirm compatibility, and even suggest upsells based on your content.

• Resolves “What customizations are available for this dress?” without human intervention.
• Covers sizing personalization queries (petite, tall, maternity adjustments).
• Operates 24/7, so late-night shoppers get instant help.

A knowledge base answers “what,” but custom actions handle the “how” of ordering. Set up forms that collect a customer’s measurements, fabric preferences, or design notes directly in the chat widget. The agent can trigger these actions at the right moment - like when someone asks to order a custom blazer or specify a monogram - and pass the structured data to your backend or inventory system.

• Collect exact requirements (color, embroidery text, sleeve length) without back-and-forth emails.
• Reduce errors by validating fields like size ranges or style options on the spot.
• Route completed custom requests to your production queue or CRM automatically.

How to explain customization options?

Build a rich knowledge base with visual guides, dimension tables, and step-by-step walkthroughs. The AI agent can then answer “What customizations do you offer for bags?” by pulling the exact section from your documentation, including links to photos or pricing ranges. The response is always drawn from your own specs, never a generic list.

What are common customization questions?

Fashion customers often ask about size adjustments (e.g., “Can you make this dress in a tall length?”), material swaps (“Can I get this coat in suede instead of wool?”), design tweaks (adding pockets, removing sleeves), and lead times for custom orders. They also frequently request previews or proof images before approval. Your AI agent can be trained to answer all of these from your guides.

How to handle custom product complaints?

Use a combination of the AI agent and custom actions. First, the agent can surface your return or remake policy from the knowledge base to set expectations. If a complaint needs escalation, a custom action can log the issue, collect order details and photos, and route it to your support team with full context. The agent doesn’t guess at resolutions - it stays grounded in your policies and hands off gracefully when needed.