Customer service AI for furniture stores that gets the hard questions right
Furniture service questions aren't small talk — a wrong answer about a delivery window or a custom-order return policy costs you a five-figure customer relationship.
ShowroomOps answers service questions from your actual policies with unusual precision, says 'I don't know' rather than guessing, routes each issue to the right person — and, unlike support-only tools, keeps selling while it serves.
Free · a 30-minute walkthrough with the operator who built it, not a sales rep
Store Concierge
Answers from your catalog, policies, and floor inventory
Hartley Performance Sectional
112" · L-shape
$3,295 $4,695
In stock — on the showroom floor
See productMarlow Chaise Sectional
108" · reversible chaise
$2,850
In stock — ships in 5–7 days
See productEverett Track-Arm Sofa + Ottoman
104" combined
$2,390 $3,190
Custom fabrics — 4–6 weeks
See productThe real problem
The service load furniture teams carry
Every furniture retailer's inbox is the same twenty questions on repeat — while genuinely urgent issues wait in the same queue.
The same questions, hundreds of times
Where's my order, what does delivery cost, do you take the old sofa, how do returns work on floor models. Your staff answers these instead of selling — and slower each time the floor gets busy.
Policy nuance defeats simple automation
Custom orders return differently than stocked goods. White-glove differs from threshold. Financing promos have dates. FAQ-bot automation flattens the nuance and creates the misunderstandings it was meant to prevent.
Wrong answers are expensive
Tell a customer the wrong delivery week or the wrong restocking fee and you've manufactured an angry review out of a routine question. Precision isn't a nice-to-have at this ticket size.
Everything routes to 'someone will get back to you'
A damaged-delivery claim, a designer's fabric question, and a where's-my-order all land in one inbox with one SLA. The urgent waits behind the trivial.
What we install
Service that's precise, honest, and routed
Your policies, structured and answered exactly — with a clean escalation path for everything that deserves a human.
Policy ingestion with the nuance kept
Delivery tiers, return rules by product class, financing terms, warranty coverage, custom-order rules — structured during implementation so answers carry the conditions, not just the headline.
Honest uncertainty
When a question falls outside its knowledge — a one-off situation, a damaged item, an exception request — the concierge says so and routes to a person. It is built to never fabricate a policy, date, or dimension.
Routing by issue type
Order issues to support, product questions to sales, project questions to designers, escalations to management. The right inbox, with context attached, instead of a shared pile.
Service that sells
A delivery question is often a purchase signal. The concierge answers the service question, then continues the sales conversation — something no deflection-first support tool does.
Full module walkthrough on the product page.
First implementation
Built and proven inside a real furniture store
We built this to get our own staff out of repetitive-answer duty — and found that when answers came instantly and accurately, customers asked far more, and asked closer to the sale.
ShowroomOps was built inside our own high-end furniture store — one large destination showroom, a deep new-and-consignment catalog, and a sales floor that closes most of the revenue. Live catalog, real policies, real customers. We share the store's identity and full detail privately, on the teardown call.
- outsold in one, at pace
- 5 yrs
- 2026 store revenue is pacing past the previous five years of sales combined.
- June revenue, year over year
- 4.05×
- $628K in June 2026, with July projected near $765K.
- chat-assisted revenue in 14 days
- $27.5K
- Orders matched to concierge conversations after auto-answer went live — chat volume roughly doubled, and matched revenue ran at a ~$60K/month pace.
How we count: We report the store's numbers as the store's numbers and assisted revenue as matched orders — never claimed lift from any single tool. The growth came from the whole operating stack working together: buying, marketing, catalog, concierge, and measurement. We'd rather under-claim and show you the methodology.
Read the full case study →Engagement
How retailers work with us
Service coverage is included in both options; the staff console with live takeover and the correction loop that keeps answers accurate is part of the Custom, done-for-you engagement. Full pricing detail here.
Custom
Done for youfrom $75K setup
+ $15K/month
We build and run the whole operating stack for you — scoped per engagement, scaling up for multi-location and multi-brand operators.
Self-Setup System
You implement it$25K one-time
+ $500/month software
The same system we run in our own store, handed to your team to implement in logical order with our complete self-setup guide.
The 90-day launch guarantee
“If we do not launch your concierge, ingest your catalog and policies, train it on your top questions, and generate the agreed qualified sales conversations or showroom/design leads within 90 days, we work free until we do, up to two additional months.”
This is an implementation guarantee, not a revenue guarantee — nobody can honestly guarantee revenue in a seasonal, omnichannel business. What we can guarantee is that the system gets built, launched, and producing the agreed conversations and leads, or you stop paying the retainer while we finish the job.
The launch guarantee applies to Custom, done-for-you engagements. The Self-Setup System is a one-time purchase your team implements with the guide.
Questions
Frequently asked
How accurate are the answers, really?
As accurate as the ingested policy data — which is why implementation includes structuring your policies with us, testing against your top real questions before launch, and a weekly correction loop after. The system is designed to prefer 'let me connect you with our team' over any answer it can't ground in your data.
What happens with angry customers or damage claims?
Those route to a human fast, by design. The concierge recognizes escalation-worthy situations — damage, delays, refund disputes — captures the details once, and hands off with context so the customer never repeats their story. AI de-escalating an angry five-figure customer is a bad bet; a fast, informed human is a good one.
Can it check actual order status?
With order-system integration, built into the Custom engagement, yes — real status from your platform, not a canned 'orders ship in 5–7 days.' Without integration it collects the order details and routes to your team, cleanly.
Will this replace our support staff?
It replaces the repetitive fraction of their day, not the judgment. The pattern from our own store: the concierge absorbs the recurring twenty questions, and staff time shifts to selling, exceptions, and the conversations that genuinely need a person.
How is this different from the support bots we've seen?
Two ways. Precision: it's trained on your structured policies with the conditions intact, not a scraped FAQ. Posture: it's a sales concierge that handles service, not a deflection tool — so a shopper who asks about delivery gets the answer and the product conversation, not a closed ticket.
Take the twenty questions off your team
In the teardown we'll identify your store's actual top questions — from your inbox, your reviews, and your site — and show exactly how each would be answered, routed, or escalated.
The teardown is free and delivered live on a 30-minute call by the operator who built the system. We onboard a small number of retailers at a time — each system is built from real catalog and policy data.