AI Chatbot for Window Installers: quote replacement windows by opening
Map your vinyl, fiberglass, and wood-clad window pricing plus glass packages into SleekAI and the bot asks about opening counts, frame preference, and grid patterns, then quotes a real scope using your own OpenAI, Anthropic, Google, or OpenRouter API key.
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Window leads come opening-by-opening, not by square foot
Window buyers think in openings, not square footage. A homeowner with 18 original aluminum windows wants to know what a full-home replacement runs in vinyl versus fiberglass, with double-pane low-E glass and SDL grids. Most contractor sites greet that visitor with a generic contact form. The competitor who answers in chat with a per-window unit price and a real total wins the in-home consultation. Your WordPress site has the window SKU pricing, the glass package upcharges, and the installation labor stored as postmeta.
SleekAI maps your vinyl_window_unit_price, fiberglass_window_unit_price, glass_package_upcharge, and install_labor_per_opening postmeta into chatbot variables. The bot asks how many openings, what frame material the homeowner wants, glass package preferences (double-pane low-E argon, triple-pane), and grid pattern. It pulls live numbers and quotes 18 vinyl windows at $720 each plus install at $185 per opening. Display conditions can scope new construction openings versus standard pocket replacements versus full-frame tear-outs.
Generic bots cannot do this because they do not know the difference between a pocket replacement and a full-frame, that fiberglass costs $300 more per window than vinyl, or that historic homes often require wood-clad windows with mullions that cost twice as much. They cannot ask whether the homeowner wants between-the-glass grids or simulated divided lites. SleekAI logs every conversation so you can see which window counts and glass packages prospects actually configure.
Workflow
How the window installer bot is wired
Map window catalog postmeta
vinyl_window_unit_price, fiberglass_window_unit_price, wood_clad_unit_price, glass package upcharges, and install labor per opening so the bot quotes from live numbers.
Encode pocket vs full-frame rules
Branch by climate and use case
Book the in-home measure
Try it now
A typical window installer conversation
Comparison
Generic chatbot vs SleekAI for Window Installers
Generic chatbot
- Cannot tell a pocket replacement from a full-frame tear-out price
- Has no idea what fiberglass costs over vinyl per opening
- Cannot quote SDL versus between-glass grids by window
- Will not factor double-pane versus triple-pane glass packages
- Forgets opening count and frame material between messages
SleekAI chatbot
-
Reads
vinyl_window_unit_priceand labor postmeta live - Asks opening count, frame material, glass package, and grids
- Quotes vinyl, fiberglass, wood-clad with install labor itemized
- Branches pocket replacement versus full-frame tear-out scopes
- Books in-home measure visits from your WordPress calendar
Features
What SleekAI gives you for Window Replacement Installers
Per-opening quoting
The bot pulls window unit prices from your product postmeta, multiplies by opening count, adds installation labor per opening, and quotes a real subtotal. Glass package upgrades, grid patterns, and frame material upgrades show as separate line items the homeowner can mix and match.
Pocket vs full-frame logic
The bot asks the age of the home and the condition of the existing trim. 1985 aluminum windows in good frames route to pocket replacement. Rotten wood frames or planned exterior trim updates route to full-frame tear-out with the extra labor and trim line item itemized.
Books measure visit
When the homeowner accepts a ballpark, the bot offers two measure visit slots, captures address and opening count, and writes the lead with the structured scope so the measure tech arrives with the right templates and trim samples.
Use cases
Where this chatbot earns its keep
Full home replacement
Homeowners replacing 15 to 30 year old aluminum or wood windows with new vinyl or fiberglass. The bot scopes opening count, frame material, glass package, and grids, then books the in-home measure.
Storm and insurance jobs
Insurance claims after hail or wind damaged windows. The bot asks about adjuster involvement, captures the damaged openings, and routes to an insurance rate card with adjuster meeting fees included.
Historic and custom homes
Owners of older homes who need wood-clad windows with authentic muntins. The bot collects opening sizes, asks about historic district approvals, and quotes Marvin or Andersen wood-clad with extended lead times.
The bigger picture
Why window installers need per-opening quoting
Window replacement is the most-quoted exterior remodeling service in the country. Homeowners get three to five quotes per project. The contractor who can deliver a credible ballpark in chat moves to the shortlist and earns the in-home measure visit.
The one who hides behind a contact form gets cut at the first round. Full-home replacement jobs average $12,000 to $30,000 across most US markets, so one extra booked measure visit per week pays for the chatbot, the API tokens, and the office overhead many times over. Per-opening quoting matters because customers think that way.
A homeowner with 18 windows wants to know what 18 vinyl double-hungs cost installed, with the grid pattern they want, in the climate they live in. Generic chatbots cannot answer that. SleekAI reads your live window catalog and labor rates and answers the actual question in chat.
The bot also handles the trim conversation honestly. Pocket versus full-frame is a $4,000 difference on a 20-window job, and surfacing it before the in-home visit means the lead self-qualifies. Contractors who run a real triage bot tend to see their measure-to-contract close rate climb significantly because every visit starts with the homeowner already informed about the rough number.
The follow-up conversation at the kitchen table is about glass package and grids, not about whether the job fits the budget.
Questions
Common questions about SleekAI for Window Replacement Installers
You map each frame material as a product post with unit_price, warranty_years, and color_options postmeta. Vinyl is the default. Fiberglass adds $300 per window. Wood-clad (Marvin, Andersen) adds $600 to $900 per window. The bot quotes the homeowner's chosen material and offers comparisons when asked.
Yes. The bot asks the age of the home and the condition of the existing frames and trim. Pocket replacements keep the existing exterior trim. Full-frame tear-outs replace the trim too and add about $220 per opening. The bot recommends based on frame condition and homeowner trim preference.
 Yes. Double-pane low-E argon is the standard. Triple-pane low-E adds $120 per window for cold climates. Impact-rated coastal glass adds $280 per window. The bot asks about climate and noise concerns, then recommends the right package and prices it from postmeta.
 Yes, with a separate rate card. Insurance jobs include adjuster meeting fees, documentation hours, and sometimes scope-of-loss prep. The bot asks if the homeowner is filing a claim, switches to the insurance rate, and notes which line items the adjuster typically approves.
 For straightforward pocket replacements with consistent opening sizes, the ballpark lands within 5 percent of the final contract. Older homes with varying opening sizes can swing 8 to 12 percent because some openings need custom sizing. The in-home measure visit confirms the number.
 Custom sizes add 15 to 25 percent over stock. The bot asks if any openings look unusual or if the home is in a historic district. Historic homes route to wood-clad options with authentic muntin profiles. Lead times stretch from 4 weeks (vinyl stock) to 12 weeks (wood-clad custom).
 Yes. The bot can give plain-language explanations of U-factor (lower is better), SHGC (solar heat gain coefficient), and NFRC ratings. Double-pane low-E argon usually gives a U-factor around 0.27. Triple-pane drops it to 0.20. Homeowners pursuing Energy Star or utility rebates get the relevant numbers.
 Leads land in WordPress as posts or Forminator entries, then flow to your measure software (Salesforce, JobNimbus, AccuLynx) via webhook or Zapier. SleekAI writes structured fields (opening count, material, glass package, grids, ballpark) so the measure tech arrives with everything pre-filled.
 Pricing
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