Furniture and Mattresses in Indianapolis, Fishers and Carmel Indianapolis

Living Room
- Living Room
  
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- - - Living Room
    - Bookcases
    - Benches
    - Cabinets / Consoles
    - Chairs
    - Chests
    - Groupsets
    - Lamps
    - Loveseats
    - Ottomans
    - Recliners
    - Rugs
    - Sectionals
    - Sleepers
    - Sofas
    - Tables
    - Wedges
    - All Living Room
Bedroom
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- - Shopping Cart
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  Entertainment
  
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Office .loading-spinner__circle-svg { animation: loading-spinner-rotate 1.28973s linear infinite; transform-origin: center center; height: 100%; width: 100%; margin: auto; } .loading-spinner__circle-stroke { stroke-dasharray: 1, 200; stroke-dashoffset: 0; animation: loading-spinner-dash 2s ease-in-out infinite; stroke-linecap: round; stroke-width: 4px; } @keyframes loading-spinner-rotate { 100% { transform: rotate(360deg) } } @keyframes loading-spinner-dash { 0% { stroke-dasharray: 1, 200; stroke-dashoffset: 0 } 50% { stroke-dasharray: 89, 200; stroke-dashoffset: -35px } 100% { stroke-dasharray: 89, 200; stroke-dashoffset: -124px } }
- Office
  
  View All document.addEventListener('alpine:init', () => { Alpine.data('predictiveSearch', () => ({ dropdown_open: false, query: '', loading_suggestions: false, preferred_suggestion_count: 10, suggestions: [], open() { if (this.dropdown_open || !this.query.length) return; this.dropdown_open = true; }, close(focusAfter) { if (!this.dropdown_open) return; this.dropdown_open = false; focusAfter && focusAfter.focus && focusAfter.focus() }, async getSuggestions(query) { const vm = this; // abort any previous requests still in progress if (vm.fetchController) { vm.fetchController.abort(); } if (!query.length) { vm.query = ''; vm.close(vm.$refs.searchInput); return; } const reqBody = { billable_account_id: '36124', search_limit: vm.preferred_suggestion_count, search_term: vm.query, } try { vm.fetchController = new AbortController(); const params = new URLSearchParams(reqBody).toString(); const url = `/api/internal/wf-appliance/predictive-search-terms-get?API_KEY=WSKYRINYDNCQUADFAKXHUQSABSPHABPYTICFKKYOVDTPWYNSAJJTJMHGBAGU&${params}`; const res = await fetch(url, { signal: vm.fetchController.signal } ); if (!res.ok) throw new Error('Predictive search endpoint not found'); const { success, suggested_terms } = await res.json(); if (!success) throw new Error('Error predicting search terms'); if (!suggested_terms.length) return vm.close(vm.$refs.searchInput); vm.suggestions = suggested_terms.map(term => term.toLowerCase()); if (!vm.dropdown_open) vm.open(); } catch (err) { if (err.name === 'AbortError') { return; } vm.suggestions = []; vm.close(vm.$refs.searchInput); } }, onSuggestionClick(suggestion) { this.close(); this.query = suggestion; this.$nextTick(() => this.$refs.searchForm.submit()) }, highlightNonMatchingSubstring(suggestion) { const query = this.query.toLowerCase(); const suggestionLowercase = suggestion.toLowerCase(); // check if the suggestion exactly matches the query if (suggestionLowercase === query) { return `
  < span>${suggestion}
  `; } // check if the suggestion starts with the query if (suggestionLowercase.indexOf(query) === 0) { const nonMatching = suggestion.substring(query.length); return `
- < strong>${nonMatching}
  - `; } // highlight non-matching substrings const normalizedQuery = query.replaceAll('(', '').replaceAll(')', '').replaceAll('[', '').replaceAll(']', '').replaceAll('\\', ''); const regex = new RegExp(`(?!${normalizedQuery})\\b\\w+\\b`, 'gi'); const highlighted = suggestion.replace(regex, '
    - ${highlighted}
    - Bookcases
    - Cabinets
    - Chairs
    - Groupsets
    - DesksSearch
    - Hutches
    - Other Home Office
    - Tables
    - All Home OfficeSearch Site
Outdoor .search-suggestion { transition: background-color .2s ease, color .2s ease; } .search-suggestion a { padding: 5px; } .search-suggestion a, .search-suggestion span { white-space: break-spaces; } .search-suggestion:hover, .search-suggestion a:focus-visible { background-color: #f6f6f6; } .search-suggestion:hover a, .search-suggestion a:focus-visible { color: #000000; } #header-layout-container, #header-layout-custom { position: relative; z-index: 11; } @media (max-width: 767px) { .fill-vp.open .dropdown-menu { display: table; width: calc(100vw - 18px); left: auto; right:-1px; border-radius: 0px; overflow-x: hidden; overflow-y: visible; } #secondary-nav-no-collapse .sub-nav>li.dropdown.open .dropdown-menu { display:table; width:calc(100vw - 18px); left:0; right:0; overflow-x:hidden; overflow-y: visible; } }
- OutdoorTOP RESULTS
  
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- .loading-spinner__circle-svg { animation: loading-spinner-rotate 1.28973s linear infinite; transform-origin: center center; height: 100%; width: 100%; margin: auto; } .loading-spinner__circle-stroke { stroke-dasharray: 1, 200; stroke-dashoffset: 0; animation: loading-spinner-dash 2s ease-in-out infinite; stroke-linecap: round; stroke-width: 4px; } @keyframes loading-spinner-rotate { 100% { transform: rotate(360deg) } } @keyframes loading-spinner-dash { 0% { stroke-dasharray: 1, 200; stroke-dashoffset: 0 } 50% { stroke-dasharray: 89, 200; stroke-dashoffset: -35px } 100% { stroke-dasharray: 89, 200; stroke-dashoffset: -124px } }
  - - Outdoor
    - Patio Furniture
    - Other Outdoor
    - `; } // check if the suggestion starts with the query if (suggestionLowercase.indexOf(query) === 0) { const nonMatching = suggestion.substring(query.length); return `${query}< strong>${nonMatching}
    `; } // highlight non-matching substrings const normalizedQuery = query.replaceAll('(', '').replaceAll(')', '').replaceAll('[', '').replaceAll(']', '').replaceAll('\\', ''); const regex = new RegExp(`(?!${normalizedQuery})\\b\\w+\\b`, 'gi'); const highlighted = suggestion.replace(regex, '
  '); return `
`; }, titleCase(str = '') { if (!str || typeof str !== 'string') return str; return str .trim() .split(' ') .map(word => word[0]?.toUpperCase() + word.slice(1)?.toLowerCase()) .join(' '); }, })) })
Mattresses
- Mattresses
  
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- - - Shop by Style
    - Adjustables
    - Pillow Top
    - Tight Top
    - Other
    - All Mattresses
    document.addEventListener('alpine:init', () => { Alpine.data('predictiveSearch', () => ({ dropdown_open: false, query: '', loading_suggestions: false, preferred_suggestion_count: 10, suggestions: [], open() { if (this.dropdown_open || !this.query.length) return; this.dropdown_open = true; }, close(focusAfter) { if (!this.dropdown_open) return; this.dropdown_open = false; focusAfter && focusAfter.focus && focusAfter.focus() }, async getSuggestions(query) { const vm = this; // abort any previous requests still in progress if (vm.fetchController) { vm.fetchController.abort(); } if (!query.length) { vm.query = ''; vm.close(vm.$refs.searchInput); return; } const reqBody = { billable_account_id: '36124', search_limit: vm.preferred_suggestion_count, search_term: vm.query, } try { vm.fetchController = new AbortController(); const params = new URLSearchParams(reqBody).toString(); const url = `/api/internal/wf-appliance/predictive-search-terms-get?API_KEY=WSKYRINYDNCQUADFAKXHUQSABSPHABPYTICFKKYOVDTPWYNSAJJTJMHGBAGU&${params}`; const res = await fetch(url, { signal: vm.fetchController.signal } ); if (!res.ok) throw new Error('Predictive search endpoint not found'); const { success, suggested_terms } = await res.json(); if (!success) throw new Error('Error predicting search terms'); if (!suggested_terms.length) return vm.close(vm.$refs.searchInput); vm.suggestions = suggested_terms.map(term => term.toLowerCase()); if (!vm.dropdown_open) vm.open(); } catch (err) { if (err.name === 'AbortError') { return; } vm.suggestions = []; vm.close(vm.$refs.searchInput); } }, onSuggestionClick(suggestion) { this.close(); this.query = suggestion; this.$nextTick(() => this.$refs.searchForm.submit()) }, highlightNonMatchingSubstring(suggestion) { const query = this.query.toLowerCase(); const suggestionLowercase = suggestion.toLowerCase(); // check if the suggestion exactly matches the query if (suggestionLowercase === query) { return ` <
  - span>${suggestion} >`; } // check if the suggestion starts with the query if (suggestionLowercase.indexOf(query) === 0) { const nonMatching = suggestion.substring(query.length); return ` <span>${query} <
  - strong>${nonMatching}Shop by Comfort> >`; } // highlight non-matching substrings const normalizedQuery = query.replaceAll('(', '').replaceAll(')', '').replaceAll('[', '').replaceAll(']', '').replaceAll('\\', ''); const regex = new RegExp(`(?!${normalizedQuery})\\b\\w+\\b`, 'gi'); const highlighted = suggestion.replace(regex, ' <
  - strong>$&Firm
  - >'); return `Medium<
  - span>${highlighted}Plush