AI chatbot for interior designer

How an Interior Designer Captured Project Inquiries While Visiting Job Sites

A St. Louis interior designer used an AI chatbot to capture new project inquiries while out on job sites, answer pricing questions automatically, and stop losing high-value clients to slower response times.

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The Problem: High-Value Leads Were Going Cold While She Was on the Job

Lauren Baer runs LB Interiors out of Clayton, Missouri — a boutique residential interior design firm she launched seven years ago after leaving a larger architecture firm. Her work focuses on full-room redesigns, kitchen and bathroom renovations, and new construction furnishing packages for custom home builders in the St. Louis area. Her average project runs between $18,000 and $65,000, and she's built a strong reputation through word-of-mouth and a portfolio that her website showcases in detail.

The problem Lauren faced was structural to how a solo-to-small design firm actually operates. Most of her day was spent on job sites — measuring, meeting with contractors, overseeing installs, meeting with clients during walkthroughs. When she wasn't on a job, she was in vendor showrooms, at the fabric house, or sourcing materials. She wasn't sitting at a desk watching her website's contact form. She was working.

That meant when a new inquiry came in — someone who found her through Houzz, a Google search, or a friend's referral — it sat in her email inbox for hours. Sometimes until that evening. Sometimes until the next morning if she had back-to-back site visits. For a prospective client shopping multiple designers simultaneously, a six-hour response time felt like silence. Lauren tracked three separate instances in a single quarter where a prospect told her they'd gone with another designer, and in each case the deciding factor mentioned was "they got back to me faster." She estimated those three lost projects represented approximately $47,000 in foregone project revenue.

The specific questions prospects were asking weren't complicated. They wanted to know whether she took on projects of their scope and budget. They wanted to understand what the consultation process looked like. They wanted to know her general pricing structure — whether she charged hourly, a flat design fee, or a percentage of the project total. And they wanted to know if she was taking new clients in their timeline. These were screening questions, not complex design conversations. But without answers, they moved on.


The Solution: A Chatbot That Qualifies Leads and Books Consultations While She Works

Lauren implemented an AI chatbot on LB Interiors' website through Anchor Co AI. The setup was built around her specific workflow: she needed the chatbot to handle the initial inquiry phase — answering the qualifying questions, explaining her process, and capturing contact information — so that by the time she called or emailed a prospect, they were warm, informed, and genuinely interested.

The Anchor Co AI team worked with Lauren to build out the chatbot's knowledge base using content from her existing website, her client onboarding FAQ, and a working document she put together describing her design philosophy, service offerings, and typical project timelines. The chatbot learned to explain the difference between her full-service design offering (where she handles everything from concept to installation) and her design consultation package (a flat-fee option for clients who want guidance but will manage execution themselves).

On the lead capture side, the chatbot was configured to gather project scope information — room types involved, rough timeline, and budget range — through a conversational intake flow. That information fed directly into a structured email that arrived in Lauren's inbox labeled as a new project inquiry, so she could prioritize her callbacks.


What the Chatbot Does

  • Explains Lauren's service tiers — full-service design, design consultation, and new construction furnishing packages — with descriptions of what each includes
  • Answers pricing structure questions honestly and without over-committing: explains that full-service design is fee-based, describes what factors influence project cost, and sets expectations without quoting a specific number before a consultation
  • Describes the initial consultation process — what to prepare, how long it takes, whether there's a consultation fee, and what the deliverables are
  • Captures new project inquiry information: room scope, timeline, budget range, and contact details — routed to Lauren's inbox as a structured lead
  • Answers questions about her portfolio, style specialties, and typical project timeline from kickoff to completion
  • Handles availability questions by explaining her general booking lead time without committing to a specific date before Lauren reviews

The Results

  • New project inquiries increased by 31% after adding the chatbot, attributed to after-hours visitors now having a way to engage rather than leave
  • Average lead response time dropped from 5.5 hours to under 15 minutes for prospects who interact with the chatbot
  • $22,000 in new project revenue attributed to chatbot-captured leads in the first four months of use
  • Three consultations booked directly from chatbot conversations in the first six weeks — leads that submitted inquiry forms at 8, 9, and 11 p.m. when Lauren was unavailable
  • Client intake quality improved — prospects arrived at consultations already knowing her process and pricing structure, making the conversation more productive and the close rate higher

Why It's a Perfect Fit

Interior designers are out working — that's the job. A designer who is present and attentive on job sites is exactly the kind of designer clients want, but it means the website goes unmonitored for hours at a time. The chatbot becomes the front desk that doesn't exist yet — the layer between "someone found the website" and "Lauren has time to respond."

High-ticket service businesses like interior design have a particularly costly version of the lead response problem. Losing even one project to a slower-responding competitor can cost tens of thousands of dollars. The $29/month investment in a chatbot is trivial compared to the value of a single captured inquiry that converts.

Lauren noted another benefit she didn't anticipate: the chatbot pre-qualifies leads. Prospects who weren't a good fit — either due to budget or project scope — often self-select out through the intake questions, meaning Lauren spends less time on consultations that were never going to close.

Plans start at $29/month. Anchor Co AI sets this up specifically for your business — no templates, no generic answers. See what's included at anchorcoai.com/pricing.

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