A homeowner pricing a walk-in closet wants to know how their project compares to the big chains. The Container Store quoted 4,500 dollars. California Closets quoted 7,800. Where do you land. Generic chatbots cannot answer because they cannot read your system tiers, your finish upcharges, or your accessory pricing. They send a contact form and the homeowner leaves to keep comparing.

SleekAI maps your full catalog. Wall-hung melamine at $120 per square foot, floor-based hardwood at $240, soft-close drawers at $45 each, valet rods at $28, glass shoe shelves at $60 per linear foot, and LED strip lighting at $18 per linear foot all live as ACF fields or wp_postmeta keys. The bot reads them and quotes the same number your designer would write up.

Generic bots fail closet work because the right answer depends on whether the homeowner wants wall-hung or floor-based, melamine or wood, with drawers or without, lit or unlit. Each choice shifts the price by hundreds of dollars. SleekAI lets the system instruction read each option and walk the homeowner through the decision tree. Conversations log in WordPress with model, tokens, and page URL so the design team reviews each quote before the in-home appointment.

Custom closet shoppers are comparing your shop against The Container Store and California Closets. They get free design appointments from chains within a week. Your shop needs to match that responsiveness or lose the lead.

SleekAI gives a believable per-linear-foot ballpark in the first message because the catalog is already in WordPress. Wall-hung melamine at 120, floor-based hardwood at 240, soft-close drawers at 45, LED strips at 18 per foot. The bot does the math, the homeowner sees the total, the design appointment gets booked the same day.

Accessory guidance matters more than people assume. A walk-in with 26 linear feet of system and six soft-close drawers is a different quote from the same closet with twelve drawers, jewelry inserts, and LED lighting. A bot that asks the right follow-up questions builds a quote that matches the homeowner's intent, not a brochure default.

Finish guidance is the quiet differentiator. Melamine for budget, premium laminate for mid-range, hardwood for high-end. The system instruction can include your designer's actual decision tree so the bot recommends the right finish for the room and the budget.

Design managers review every transcript with model, tokens, and page URL. They see the bot's assumptions, confirm them with the homeowner during the in-home visit, and update the catalog when pricing or material availability shifts.