What clothing brand customers DM about

Unlike service businesses, clothing brand DMs are almost entirely pre-purchase questions — every one is a sales opportunity:

Sizing (50% of DMs): "What size should I order if I'm usually a 12 in [brand]?", "How does the waist fit on the wide-leg trousers?", "I'm 5'4 and 160 lbs — which size?", "Does this run small?"

Availability (25%): "Is the rust colourway restocking?", "Can I get the blazer in a size 16?", "When is the new collection dropping?"

Shipping and returns (15%): "How long to [country]?", "I ordered the wrong size — can I exchange?", "What is the return window?"

Styling (10%): "What shoes would go with this?", "Is there anything else in the collection that matches?"

Setting up AI automation for clothing brand DMs

Keyword flows struggle with clothing brands because sizing questions come in every possible phrasing. AI automation that reads the actual question performs dramatically better.

What to add to ReplyMind's knowledge base:

Size guide: For each product category (tops, bottoms, dresses, outerwear), provide a measurement chart with bust, waist, hip measurements for each size. Include notes on fit philosophy: "Our tops run true to size. If between sizes, size up for a relaxed fit."

Fabric and care: Material composition and care instructions for each product or product category.

Availability policy: How to check current stock, restock timeline policy ("We restock popular items 4–6 weeks after sellout"), how to join a restock notification list.

Shipping: Domestic and international timelines, carriers, tracking availability.

Returns: Return window, condition requirements, how to initiate, exchange process.

With this in place, the AI accurately answers "Will the linen trousers fit over my hips? I'm usually a size 16 in [brand X]" with specific guidance from your size chart — without you building a separate flow for that question.

Comment-to-DM for new drop launches

On a teaser or reveal post for a new collection:

Caption: "New drop launches [date]. Comment DROP below and I will DM you the link the moment it goes live."

When someone comments DROP, the automation fires: "You are on the list! I will DM you the moment the [collection name] is live — you will be among the first to shop."

On launch day: "It is live! Shop the full collection here: [link] — sizes are limited, especially in [popular sizes]."

This pre-qualifies demand before launch and converts the hype into direct DM conversations with the people most excited about the drop.

Restock notification automation

For sold-out items, set up a comment trigger or keyword flow:

Caption on sold-out item post: "This is sold out but restocking in [timeline]. Comment RESTOCK and I will DM you when it is back."

DM: "You are on the restock list for [item]! I will DM you the moment it is available — typically [X] weeks. Want to see similar items available now? [link]"

When the item restocks: broadcast to all who requested notification (via ManyChat subscriber list, or manual DM).

Styling question handling

Styling questions ("what would you pair with this?") are where AI truly outperforms keyword flows. "What shoes would go with the brown wide-leg trousers?" is a contextual question requiring product knowledge.

Configure ReplyMind with styling suggestions per product: "The [product] pairs well with [other items in your catalogue]." The AI assembles relevant pairings based on the question.